Documents published in 2022 : Scipedia

Non-reflecting boundary condtions on unstructured grids
H. Kersken, C. Frey

eccomas2022.

Abstract
Non-reflecting boundary condition at interfaces for flow simulations in turbomachinery using the method laid out by Giles [1] and Saxer [2] require averages or Fourier decomposition of the flow solution using stations of constant radius at the interface. On structured grids the grid generation process can easily enforce grids having element centers with this property while on unstructured grids this is rarely achievable. We describe an approach which works on an auxiliary mesh with a band structure created from the surface mesh at interfaces and study the influence of the prescribed distribution of the bands on the solution. The effectiveness of the approach is demonstrated by applying it to the simulation of a compressor stage and comparing the results with results obtained by using the existing approach for creating bands and a simulation on a structured grid.
Abstract
Non-reflecting boundary condition at interfaces for flow simulations in turbomachinery using the method laid out by Giles [1] and Saxer [2] require averages or Fourier decomposition [...]
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Numerical methods for diffuse interface multifluid models
C. Le Touze, N. Rutard

eccomas2022.

Abstract
We describe some numerical methods developed in ONERA's Cedre platform to solve diffuse interface multifluid models with a view to realistic industrial applications. These methods are illustrated on test cases such as a shock-droplet interaction case.
Abstract
We describe some numerical methods developed in ONERA's Cedre platform to solve diffuse interface multifluid models with a view to realistic industrial applications. These [...]
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Numerical Investigation of Oleo-Pneumatic Shock Absorber: A Multifidelity Approach
A. Sheikh Al-Shabab, B. Grenko, D. Vitlaris, P. Tsoutsanis, A. Antoniadis, M. Skote

eccomas2022.

Abstract
A representative shock absorber geometry is developed based on the general guidelines available in the literature, and it is validated against experimental measurements from a drop test. Simulations are conducted using a multi-fidelity approach ranging from unsteady scale resolving three-dimensional simulations to dynamic system models. High fidelity simulations provide a detailed insight into the flow physics inside the shock absorber, as well as help calibrate and validate lower fidelity methods, under conditions for which no experimental measurements are available to achieve that purpose. On the other hand, lower fidelity methods are used to efficiently scan the design space and test the dependency of the shock absorber performance on the various design parameters, in addition to identifying parameter combinations that would be of interest to investigate using a high-fidelity approach.
Abstract
A representative shock absorber geometry is developed based on the general guidelines available in the literature, and it is validated against experimental measurements from [...]
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High-order, high-fidelity simulation of unsteady shock-wave/boundary layer interaction using flux reconstruction
N. Goffart, B. Tartinville, K. Puri, C. Hirsch, S. Pirozzoli

eccomas2022.

Abstract
In this work, a high-order implicit large-eddy simulation of an oblique shockwave/boundary layer interaction at Mach 2.3 is performed. The high-order solver is based on the flux reconstruction method, allowing an arbitrary order of accuracy. A particular attention is paid to the shock-capturing technique which consists in a combination of a Laplacian artificial viscosity with the Ducros sensor. The ability of such a solver to accurately predict the flow features is assessed on both steady and unsteady fields. In particular, the typical lowfrequency motion of the reflected shock is reproduced. The shock-capturing methodology is proven to be efficient at resolving the shocks without damping the turbulence in the boundary layer. The results obtained give confidence in this solver to study in more details the shockwave/boundary layer interaction phenomenon and future work is focused on the analysis of the oscillatory turbulent field in the interaction region.
Abstract
In this work, a high-order implicit large-eddy simulation of an oblique shockwave/boundary layer interaction at Mach 2.3 is performed. The high-order solver is based on the [...]
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Implicit LES of the Transonic Flow Over A High-Pressure Turbine Cascade using DG Subcell Shock Capturing
B. Klose, C. Morsbach, M. Bergmann, E. Kügeler

eccomas2022.

Abstract
Implicit large-eddy simulations of the high-pressure turbine cascade VKI-LS89 under transonic operating conditions using a high-order accurate discontinuous Galerkin spectral element method are presented. The subcell shock capturing method by Hennemann et al. [1] is investigated and compared against simulations with artificial viscosity. Additionally, the effect of laminar and turbulent inflow conditions are validated against numerical and experimental results from literature. This analysis shows that the subcell-shock-capturing method performs well by effectively reducing spurious oscillations across the shock front and acoustic waves while leaving the rest of the solution domain unaffected.
Abstract
Implicit large-eddy simulations of the high-pressure turbine cascade VKI-LS89 under transonic operating conditions using a high-order accurate discontinuous Galerkin spectral [...]
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Functional implications of renal adaptations in gestational hypertension
M. Stadt, A. Layton

eccomas2022.

Abstract
During pregnancy, major adaptations in renal morphology, hemodynamics, and transport occur to achieve the volume and electrolyte retention required in pregnancy. These complex changes can appear counterintuitive when considered in isolation. Additionally, in pregnancies complicated by a disorder, such as gestational hypertension, kidney function may be altered from normal pregnancy. To analyze how renal function is altered during pregnancy, we developed epithelial cell-based computational models of solute and water transport in a nephron of the kidney for a rat in midand late-pregnancy. The model represents known pregnancy-induced changes in renal transporters, including reduction in proximal tubule and medullary loop transporters. The pregnant rat nephron models predicted urine output and excretion consistent with measured values. Additionally, we simulated the inhibition and knockout of the ENaC and H+-K+-ATPase transporters.
Abstract
During pregnancy, major adaptations in renal morphology, hemodynamics, and transport occur to achieve the volume and electrolyte retention required in pregnancy. These complex [...]
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A time-staggered CFD scheme for variable density moist air Flow
H. Amino, C. Flageul, B. Carissimo, M. Ferrand

eccomas2022.

Abstract
We present a conservative second order staggered time scheme for dry and moist variable density air flow implemented in the open source CFD solver code saturne. The staggered time arrangement introduced by Pierce and Moin [1] is extended to finite volumes and discontinuous solutions. An Helmholtz equation is solved in order include the thermodynamical pressure variation and to remove the acoustic CFL restriction. The internal energy equation supplemented by a corrective source term based on the kinetic energy dissipation [2] is solved, allowing the scheme to be consistent with discontinuous solutions. The water phase change is treated by considering thermodynamical equilibrium. Dalton’s law is used to compute the density and the temperature is obtained from the internal energy equation, solving with Newton’s method in case of phase change. A numerical analysis is presented to insure the positivity of the thermodynamic variables, followed by the scheme verification and validation. First, dry air cases are presented: a natural convection and shock cases are used to verify its accuracy related to singularities and buoyancy effects. Moreover, a pressure cooker like system shows the scheme good reproduction of pressure variations and correct time error convergences rates. Finally, the moist air module is verified against analytical cases.
Abstract
We present a conservative second order staggered time scheme for dry and moist variable density air flow implemented in the open source CFD solver code saturne. The staggered [...]
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Mathematical and numerical analysis of a simplified model for boiling flows
T. Pichard

eccomas2022.

Abstract
We focus on a toy problem which corresponds to a simplification of a boiling twophase flow model. This model is a hyperbolic system of balance laws with a source term defined as a discontinuous function of the unknown. Several discretizations of this source terms are studied, and we illustrate their capacity to capture steady states.
Abstract
We focus on a toy problem which corresponds to a simplification of a boiling twophase flow model. This model is a hyperbolic system of balance laws with a source term defined [...]
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Application of interface capturing schemes on multiphase/multicomponent compressible flow of underwater explosion
E. Adebayo, P. Tsoutsanis, K. Jenkins

eccomas2022.

Abstract
We present in this work shock-/interface-capturing numerical methods in the finitevolume central-weighted essentially non-oscillatory (CWENO) reconstruction scheme on unstructured grids for the simulation of multi-component or multiphase compressible flows. Using the five-equation interface capturing models of Allaire et al. and Kapila et al. in the open-source unstructured compressible flow solver UCNS3D, we will demonstrate the capabilities and robustness of the CWENO in capturing and resolving the material interface in multicomponent/multiphase flows in the presence of strong gradients and material discontinuities, with oscillation free solutions and reduced numerical diffusion. To test our numerical methods, a simple one-dimensional test case and a more sophisticated 2d underwater test case with cavitation are considered. The numerical results of our study are compared with results from existing high-order methods. The results show that the CWENO is less dissipative without the spurious oscillations that typically develop at material boundaries and also gives a high-resolution description of the moving material interface with less artificial smearing than other high other schemes.
Abstract
We present in this work shock-/interface-capturing numerical methods in the finitevolume central-weighted essentially non-oscillatory (CWENO) reconstruction scheme on unstructured [...]
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Development lengths for non-newtonian flows in pipes and tubes based on the wall shear stress
C. Lambride, A. Syrakos, G. Georgiou

eccomas2022.

Abstract
The development length needed for tube flows to re-adjust from a uniform to the fully-developed velocity profile is usually defined as the length required for the centerline velocity to reach 99% of its fully-developed value. This definition, however, may be quite inaccurate in non-Newtonian flows with almost flat velocity distributions near the centerline, since the velocity far from the axis of symmetry develops more slowly. Shear-thinning and viscoplasticity may cause the flow close to the centerline to evolve faster than that closer to the walls. Thus, alternative definitions of the development length have been proposed for viscoplastic flows. Given that blood exhibits shear thinning, we numerically solve the flow development of power-law fluids in pipes and calculate the development length as a function of the radius, determining the global development length along with the standard centerline estimate. We also consider an alternative definition, based on the evolution of the wall shear stress. Results have been obtained for values of the power-law exponent ranging from 0.
Abstract
The development length needed for tube flows to re-adjust from a uniform to the fully-developed velocity profile is usually defined as the length required for the centerline [...]
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On the effect of Prandtl number to subgrid-scale heat flux models
F. Trias, D. Santos, J. Hopman, A. Gorobets, A. Oliva

eccomas2022.

Abstract
Estimations of the grid size and computational cost for direct numerical simulation (DNS) and large-eddy simulation (LES) of Rayleigh-Bénard convection (RBC) are presented in the {Ra, P r} phase space. Computational requirements to reach the so-called asymptotic Kraichnan or ultimate regime of turbulence using DNS are far too expensive. Therefore, we turn to LES to predict the large-scale behavior at very high Ra-numbers. However, a priori alignment studies clearly show why the modelization of the SGS heat flux is the main difficulty that (still) precludes reliable LES of buoyancy-driven flows at (very) high Ra-numbers. This inherent difficulty can be by-passed by carrying out simulations at low-P r numbers where no SGS heat flux activity is expected. This opens the possibility to reach the ultimate regime carrying out LES of RBC at low-P r using meshes of 10101011grid points. Nevertheless, to do so, we firstly need to combine proper numerical techniques for LES (also DNS) with an efficient use of modern hybrid supercomputers.
Abstract
Estimations of the grid size and computational cost for direct numerical simulation (DNS) and large-eddy simulation (LES) of Rayleigh-Bénard convection (RBC) are presented [...]
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Towards proper subgrid-scale model for jet aerodynamics and aeroacoustics
A. Duben, J. Ruano, F. Trias, A. Gorobets

eccomas2022.

Abstract
This article presents the investigation of different grey-area mitigation (GAM) techniques towards achieving accurate subsonic turbulent round jet aerodynamics and aeroacoustics results. Combinations of new adapting subgrid length scales with 2D detecting LES models are used as the GAM technique. The numerical simulations are carried out on a set of refining meshes using two different scale-resolving codes: NOISEtte and OpenFOAM. The results show that all the considered techniques provide appropriate accuracy to predict the noise generated and the importance of both the numerical scheme and how subgrid eddy viscosity is modelled.
Abstract
This article presents the investigation of different grey-area mitigation (GAM) techniques towards achieving accurate subsonic turbulent round jet aerodynamics and aeroacoustics [...]
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FEM analysis and monolithic Newton-multigrid solver for thixo-viscoplastic flow problems
N. Begum, A. Ouazzi, S. Turek

eccomas2022.

Abstract
In this contribution, we shall be concerned with the question of wellposedness of thixoviscoplastic flow problems in context of FEM approximations.We restrict our analysis to a quasiNewtonian modeling approach with the aim to set foundations for an efficient monolithic Newtonmultigrid solver. We present the wellposedness of viscoplastic subproblems and structure subproblems in parallel/independent fashion showing the possibility for a combined treatment. Then, we use the fixed point theorem for the coupled problem. For the numerical solutions, we choose 4:1 contraction configuration and use monolithic Newton-multigrid solver. We analyse the effect of taking into consideration thixotropic phenomena in viscoplastic material and opening up for more different coupling by inclusions of shear thickening and shear thinning behaviors for plastic viscosity and/or elastic behavior below the critical yield stress limit in more a general thixotropic models.
Abstract
In this contribution, we shall be concerned with the question of wellposedness of thixoviscoplastic flow problems in context of FEM approximations.We restrict our analysis [...]
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Computational micro-magneto-mechanics
C. Dorn, S. Wulfinghoff

eccomas2022.

Abstract
We formulate a material model for micro-magneto-mechanics based on the generalized standard material approach. Our model includes exchange, elastic, anisotropy, demagnetizing and Zeeman energy. Furthermore we account for dissipative micro-magnetic behavior by means of a dissipation potential. For the constrained optimization problem w.r.t. magnetization we rely on the exponential map algorithm. We demonstrate our ideas with numerical examples. In particular we apply our model to a thin film composite. With this composite we represent the magneto-mechanical part of a magneto-electric composite sensor (resp. small sensor segment). Our numerical experiments focus on FeCoSiB as the magnetostrictive material. We discuss the coupling effects for the considered thin film composite in detail.
Abstract
We formulate a material model for micro-magneto-mechanics based on the generalized standard material approach. Our model includes exchange, elastic, anisotropy, demagnetizing [...]
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Unsteady Aerodynamic Sensitivity Analysis with FEniCS
C. Ruiz, M. Chávez-Modena, A. Martínez-Cava

eccomas2022.

Abstract
Sensitivity analysis is considered a fundamental tool in aerospace engineering, allowing to evaluate the impact of parameters variations, and optimize the aerodynamic and structural design. There has been much effort in the development of both theoretical and numerical frameworks for sensitivity calculations through adjoint solutions. Regarding the implementation of these analyses into agile and versatile numerical tools, the use of scalable and transferable libraries has become of particular importance. In this work, FEniCS is used to calculate the sensitivity of aerodynamic observables in different flow condition. A comparison with different theoretical and benchmark cases is used to validate the methodology before applying it to further and more complex configurations, expanding the scope of the analyses to unsteady flows.
Abstract
Sensitivity analysis is considered a fundamental tool in aerospace engineering, allowing to evaluate the impact of parameters variations, and optimize the aerodynamic and [...]
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Incorporating effective transmission conditions between fluid and solid domains in transient wave propagation problems using the mortar element method
A. Imperiale

eccomas2022.

Abstract
We derive an efficient numerical scheme for transient wave propagation in configurations where a fluid domain and a solid domain are separated by a thin coating material. These type of configurations are numerically challenging for multiple factors: managing fluid solid coupling, enabling non-conform space discretizations, and rendering robust time discrete algorithm w.r.t the thin layer thickness. By combining the mortar element method with effective transmission conditions we are able to address these challenges. We illustrate our approach by proposing relevant 2D numerical illustrations inspired from simple ultrasonic testing experiments.
Abstract
We derive an efficient numerical scheme for transient wave propagation in configurations where a fluid domain and a solid domain are separated by a thin coating material. [...]
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Discretize first, filter next – a new closure model approach
S. Agdestein, B. Sanderse

eccomas2022.

Abstract
Simulating multi-scale phenomena such as turbulent fluid flows is typically computationally very expensive. Filtering the smaller scales allows for using coarse discretizations, however, this requires closure models to account for the effects of the unresolved on the resolved scales. The common approach is to filter the continuous equations, but this gives rise to several commutator errors due to nonlinear terms, non-uniform filters, or boundary conditions. We propose a new approach to filtering, where the equations are discretized first and then filtered. For a non-uniform filter applied to the linear convection equation, we show that the discretely filtered convection operator can be inferred using three methods: intrusive (`explicit reconstruction') or non-intrusive operator inference, either via `derivative fitting' or `trajectory fitting' (embedded learning). We show that explicit reconstruction and derivative fitting identify a similar operator and produce small errors, but that trajectory fitting requires significant effort to train to achieve similar performance. However, the explicit reconstruction approach is more prone to instabilities.
Abstract
Simulating multi-scale phenomena such as turbulent fluid flows is typically computationally very expensive. Filtering the smaller scales allows for using coarse discretizations, [...]
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Robust Topology Optimization of Static Systems with Unilateral Frictional Contact
T. Schmidt, B. Kriegesmann, R. Seifried

eccomas2022.

Abstract
In this paper a robust topology optimization algorithm for linear elastic structures in unilateral contact is presented. The deformation of the linear elastic structure is constrained by support structures that are modeled with the help of Signorini's contact conditions. The contact conditions in turn are enforced with the augmented Lagrangian approach. Doing so, the robust optimization considers uncertainties at the support such as manufacturing tolerances and its local friction behavior. Due to high numerical costs in robust optimization, the firstorder second-moment approach is used to approximate the mean and variance of the objective. This approximation results in minimal additional costs to approximate the mean, the variance and their gradients. Consequentially, a gradient-based optimization algorithm can be used to minimize a weighted sum of both. The results show that the presented approach indeed improves the robustness with respect to uncertain contact conditions compared to a deterministic optimization.
Abstract
In this paper a robust topology optimization algorithm for linear elastic structures in unilateral contact is presented. The deformation of the linear elastic structure is [...]
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A fluid-structure interaction study of hemodynamics in arterial bypass-graft anastomoses
G. Bletsos, L. Radtke, A. Düster, T. Rung

eccomas2022.

Abstract
This paper reports on numerical experiments on arterial bypass-graft anastomoses. Bypass-grafts are oftentimes used in surgical procedures to divert blood around narrowed or occluded parts of an artery. The diverted blood flow is crucial to the success of the operation as it may lead to undesirable peculiarities that can result to a renewed occlusion in the distal connection of the graft. However, an a priori prediction of detrimental hemodynamic aspects due to undesirable flow properties is difficult to perform in vitro or in vivo conditions. To this end, this work targets to enhance our understanding of harming mechanisms through in silico experiments using computational fluid dynamics (CFD) and fluid-structure interaction (FSI) simulations. The latter are realized through a partitioned coupled approach which is verified for a 2D benchmark case against literature-reported results. Finally, we present numerical results on grafts with different cuff sizes. Wall shear stress (WSS), oscillatory shear index (OSI) and hemolysis are monitored and compared in the context of either rigid or elastic walls and cuff sizes. Special interest is given to the prediction of hemolysis induction which is often not considered in such studies. We show that wall elasticity is the key parameter in terms of WSS prediction while cuff size mainly affects the estimation of OSI.
Abstract
This paper reports on numerical experiments on arterial bypass-graft anastomoses. Bypass-grafts are oftentimes used in surgical procedures to divert blood around narrowed [...]
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Low Mach preconditioned non-reflecting boundary conditions for the harmonic balance solver
P. Sivel, C. Frey

eccomas2022.

Abstract
In computational fluid dynamics (CFD), unsteady computations are cost-intensive. The Harmonic Balance (HB) method [7] represents a cost-efficient alternative. Here, for timeperiodic flows, the governing equations are recasted in the Fourier domain. In the low Mach regime, the compressible governing equations are stiff. Therefore, densitybased solvers converge slowly. Low Mach preconditioning equalizes the eigenvalues of the system of equations, to improve the condition number and remove the stiffness of the system [14]. In this paper, low Mach preconditioning is applied to the HB method, with emphasis on the non-reflecting boundary conditions (NRBCs). These boundary conditions have a crucial impact on the flow inside the truncated computational domains used in CFD. Improper boundary conditions reflect waves exiting the computational domain and deteriorate the quality of the solution. However, NRBCs [6] avoid spurious reflections. We explain that to precondition the NRBC its formulation in terms of characteristics has to be adapted. An academic wave propagation test case is computed for different wave configurations to validate the preconditioned boundary conditions. The use of non-preconditioned NRBCs in a preconditioned computation leads to instabilities and reflections at the boundaries of the domain. A consistent setup with preconditioned NRBCs improves the stability and leads to good non-reflecting properties for all presented wave configurations.
Abstract
In computational fluid dynamics (CFD), unsteady computations are cost-intensive. The Harmonic Balance (HB) method [7] represents a cost-efficient alternative. Here, for timeperiodic [...]
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High fidelity fluid-structure interaction simulation of a multi-megawatt airborne wind energy reference system in cross-wind flight
N. Pynaert, J. Wauters, G. Crevecoeur, J. Degroote

eccomas2022.

Abstract
Airborne wind energy (AWE) is an emerging technology for the conversion of wind energy into electricity by flying crosswind patterns with a tethered aircraft connected to a generator either on board or on the ground. Having a proper understanding of the unsteady interaction of the air with the flexible and dynamic system during operation is key to developing viable AWE systems. The research goal is to simulate the time-varying fluid-structure interaction (FSI) of an AWE system in a crosswind flight maneuver using high fidelity simulation tools. In this work a framework is presented that serves as a proof of concept to perform high fidelity simulations of airborne wind energy systems. This is done using a partitioned and explicit approach in the open-source coupling tool CoCoNuT. An existing finite element method (FEM) model of the wing structure is coupled with a newly developed computational fluid dynamics (CFD) model of the wing aerodynamics including rigid body motion. It has been found that the mesh deformation is quite sensitive to dynamic mesh parameters. On the other hand, the overset/Chimera technique has been proven to be a robust approach to simulate the motion of an AWE system in CFD simulations.
Abstract
Airborne wind energy (AWE) is an emerging technology for the conversion of wind energy into electricity by flying crosswind patterns with a tethered aircraft connected to [...]
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Novel immersed boundary method for fluid-structure interaction of compressible flow
F. Kristoffersen, M. Larsson, S. Johnsen, W. Schröder, B. Müller

eccomas2022.

Abstract
A 3D fluid-structure interaction (FSI) code is under development. The fluid domain (Navier-Stokes) solver will employ a sharp interface ghost node immersed boundary method (IBM) to apply the boundary conditions at fluid-solid interfaces. The Navier-Stokes (N-S) solver has been verified using a classic Poiseuille channel flow. The current version of the immersed boundary method is being tested by solving a heat conduction problem. The order of accuracy of the IBM was shown to be just above second order.
Abstract
A 3D fluid-structure interaction (FSI) code is under development. The fluid domain (Navier-Stokes) solver will employ a sharp interface ghost node immersed boundary method [...]
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A semi-implicit method for thrombus formation in haemodynamic fluid-structure interaction
R. Schussnig, S. Dreymann, A. Jafarinia, T. Hochrainer, T. Fries

eccomas2022.

Abstract
Aortic flows with thrombus formation represent a challenging application of fluidstructure interaction (FSI) in biomechanics where blood flow, thrombus, and vessel wall are strongly coupled. Considering patient-specific FSI and thrombus formation on identical time scales remains unfeasible. To resolve this issue, we propose incorporating the dynamics-based thrombus formation model of Menichini et al. [1] into our recently presented semi-implicit, splitstep partitioned FSI scheme for non-Newtonian fluids [2, 3]. Herein, we formulate the basic split-step scheme and present the first promising results, merely coupling the fluid pressure and structure displacement iteratively at each time step.
Abstract
Aortic flows with thrombus formation represent a challenging application of fluidstructure interaction (FSI) in biomechanics where blood flow, thrombus, and vessel wall are [...]
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The iPGDZ+ technique for compressing primal solution time-series in unsteady adjoint - applications & assessment
A. Margetis, E. Papoutsis-Kiachagias, K. Giannakoglou

eccomas2022.

Abstract
Gradient-based optimization for large-scale problems governed by unsteady PDEs, in which gradients with respect to the design variables are computed using unsteady adjoint, are characterized by the backward in time integration of the adjoint equations, which require the instantaneous primal/flow fields to be available at each time-step. The most widely used technique to reduce storage requirements, at the expense of a controlled number of recomputations, is binomial check-pointing. Alternatively, one may profit of lossless and lossy compression techniques, such as iPGDZ+, this paper relies upon. iPGDZ+is a hybrid algorithm which consists of (a) an incremental variant of the Proper Generalized Decomposition (iPGD), (b) the ZFP and (c) the Zlib compression algorithms. Two different implementations of iPGDZ+are described: (a) the Compressed Full Storage (CFS ) strategy which stores the whole time-history of the flow solution using iPGDZ+and (b) the Compressed Coarse-grained Check-Pointing (3CP ) technique which combines iPGDZ+with check-pointing. Assessment in aerodynamic shape optimization problems in terms of storage saving, computational cost and representation accuracy are included along with comparisons with binomial check-pointing. The methods presented are implemented within the in-house version of the publicly available adjointOptimisation library of OpenFOAM, for solving the flow and adjoint equations and conducting the optimization.
Abstract
Gradient-based optimization for large-scale problems governed by unsteady PDEs, in which gradients with respect to the design variables are computed using unsteady adjoint, [...]
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Fluid-structure interaction tool for morphing blades
G. Abate, J. Riemenschneider

eccomas2022.

Abstract
The design of aeronautical components commonly involves two highly coupled disciplines: aerodynamics and structural mechanics. The interaction between them becomes even more relevant when morphing aeronautical structures are studied. Considering the importance of morphing technology for the future of the aerospace industry, several tools have already been developed to couple these two disciplines together, but all of them deal with pure twodimensional or three-dimensional aero-structural problems. In some circumstances, the study of aeronautical components requires to couple a 2D computational fluid-dynamics (CFD) analysis with a 3D finite element analysis (FEA). This usually happens in the preliminary design phase of aeronautical engine blades (i.e. compressor blades) where the aerodynamic study of the original 3D geometry is replaced by the analysis of a 2D blade cascade in order to reduce the overall computational cost. However, such an approach requires a specific method to couple the 2D CFD geometry/mesh with the 3D FEA geometry/mesh in order to transfer the aerodynamic loads from the CFD analysis to the structural one. As mentioned before, the existing fluid-structure interaction (FSI) tools cannot be implemented to solve a 2D-3D problem; therefore, a novel 2D3D aero-structure coupling approach needs to be developed. This paper describes step-by-step the 2D-3D aero-structure coupling strategy applied to the performance analysis of a morphing blade cascade with the goal of enhancing its aerodynamic performance. The results show a relevant decrease in the total pressure losses of the morphing cascade thanks to the adapting blade leading-edge. In order to highlight the reliability of the FSI framework, the developed approach is applied to four different blade configurations which differ in size and location of the two morphing devices.
Abstract
The design of aeronautical components commonly involves two highly coupled disciplines: aerodynamics and structural mechanics. The interaction between them becomes even more [...]
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Unstructured high-order solutions of hovering rotors with and without ground effect
P. A. S. F. Silva, P. Tsoutsanis, A. Antoniadis, K. Jenkins

eccomas2022.

Abstract
This work describes the computational cost and accuracy of high-order numerical schemes on a simplified concept of multiple reference frame (MRF) technique using mixedelement unstructured grid framework widely tested for aerospace applications. The Reynolds averaged Navier-Stokes equations are approximated with up to fourth spatial order using Spalart Allmaras turbulence model on two types of reconstruction scheme: monotonic upwind scheme for conservation laws (MUSCL) and weighted non-oscillatory (WENO). The calculations were made for both out-of-ground-effect (OGE) and in-ground-effect (IGE) cases and compared with experimental data in terms of pressure distribution, tip-vortex trajectory, vorticity contours and integrated thrust and torque. The predictions were obtained for several ground distances. Our findings suggest that the resolution of the vortex path and wake breakdown were considerably improved with increased scheme order. It is noticeable how low-order scheme struggles to deal with the large amount of diffusion. This numerical nature contributes to the vortex system settle down and achieve this stable ring state structure as seen on a couple radii downstream the rotor. As the wake is transported downwards, it can be clearly seen the interaction primary and secondary structures, which stretch between the tip vortices making an S-shaped path also seen experimentally. The presence of the vortex-ring close to the rotor blade contributes to a larger induced flow and under predictions of thrust coefficient . As we increase the scheme-order, it becomes more evident how the helical system convects down and breakdown toroidal vortex into smaller scales.
Abstract
This work describes the computational cost and accuracy of high-order numerical schemes on a simplified concept of multiple reference frame (MRF) technique using mixedelement [...]
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Large-eddy simulations of turbulent compressible supersonic jet flows using discontinuous Galerkin methods
D. Abreu, C. Junqueira-Junior, E. Dauricio, J. Azevedo

eccomas2022.

Abstract
In this work, a discontinuous Galerkin scheme is employed to perform large-eddy simulations of supersonic jet flows. A total of four simulations are performed with different meshes and order of accuracy to identify the resolution requirements to reproduce the physical characteristics from experiments. The number of degrees of freedom from the simulations varies from 50 × 106to 400 × 106. The results indicate that by increasing the resolution of simulation, in general, the results got closer to experimental data. The comparison of velocity distribution in the jet centerline and lipline from the simulation with 400 × 106with experimental shows that important characteristics of the flow are represented. The study investigated a procedure of using lower-order simulations to initialize high-order simulations to reduce the total computational cost of the calculation. This strategy is successful and allows the performance of high-order simulations with only 6% more computational effort than a second-order simulation with the same number of degrees of freedom.
Abstract
In this work, a discontinuous Galerkin scheme is employed to perform large-eddy simulations of supersonic jet flows. A total of four simulations are performed with different [...]
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Accelerating the simulation of elastohydrodynamic lubrication in a line contact using a surrogate model
N. Delaissé, P. Havaej, D. Fauconnier, J. Degroote

eccomas2022.

Abstract
Elastohydrodynamically lubricated contacts are an example of a strongly coupled fluid-structure interaction problem. Typically, these problems are solved in a partitioned way and require multiple flow-structure iterations per time step to reach convergence. The manner in which these iterations are performed is determined by the coupling algorithm. In the previous decade, several algorithms have been proposed, most of which are based on a quasi-Newton principle. These methods use an approximate Jacobian, which is constructed during the calculation itself. However, in many cases, a simpler model is available, which provides an approximate solution and Jacobian, and is denoted as surrogate model. For the elastohydrodynamically lubricated contact, this model is the coupled Reynolds-Boussinesq approach, which evaluates significantly faster than the CFD-CSM simulation. The incorporation of a surrogate model in a quasi-Newton method is realized with the IQN-ILSM algorithm. This work is a first step towards employing this coupling method for the elastohydrodynamically lubricated contact and, in this way, combining the speed of the Reynolds-Boussinesq approach with the accuracy and versatility of the CFD-CSM modelling. In the current work, only the surrogate solution will be used as initial solution. The use of the surrogate Jacobian is future work.
Abstract
Elastohydrodynamically lubricated contacts are an example of a strongly coupled fluid-structure interaction problem. Typically, these problems are solved in a partitioned [...]
- 11
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An extended discontinuous Galerkin method for high-order shock treatment
J. Sebastian, F. Kummer

eccomas2022.

Abstract
In this paper, we are going to present a high-order shock fitting approach based on a cut-cell method. We formulate a suitable Constraint Optimization Problem and develop an algorithm aiming to reconstruct the shock front represented by the zero iso-contour of a Level Set function.
Abstract
In this paper, we are going to present a high-order shock fitting approach based on a cut-cell method. We formulate a suitable Constraint Optimization Problem and develop [...]
- 6
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Hybrid High-Order Finite Volume/Discontinuous Galerkin Methods for Turbulent Flows
D. Yuan, P. Tsoutsanis, K. Jenkins

eccomas2022.

Abstract
In this paper we develop a family of arbitrarily high-order non-oscillatory hybrid Finite Volume/Discontinuous Galerkin schemes for turbulent flows on mixed-element unstructured meshes. The schemes are inherently compact in the sense that the central stencils employed are as compact as possible, and that the directional stencils are reduced in size, simplifying their implementation. Their key ingredient is the switch between a DG method and a FV method based on the CWENOZ scheme when a troubled cell is detected. Therefore, in smooth regions of the computational domain, the high order of accuracy offered by DG is preserved, while in regions with sharp gradients, the robustness of FV is utilized. This paper also presents the time evolution of troubled cells in unsteady test cases and the use of extended bounds for troubled cell detection. We assess the performance of these schemes in terms of accuracy, robustness and computational cost through a series of stringent 2D and 3D test problems. The results obtained demonstrate the accuracy and robustness that the schemes offer and highlight areas of future improvements that are considered.
Abstract
In this paper we develop a family of arbitrarily high-order non-oscillatory hybrid Finite Volume/Discontinuous Galerkin schemes for turbulent flows on mixed-element unstructured [...]
- 32
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Deep Neural Network-driven hp-adaptive Finite Element Method in three dimensions
M. Paszynski, R. Grzeszczuk, W. Dzwinel, D. Pardo

eccomas2022.

Abstract
Numerical solutions of Partial Differential Equations with Finite Element Method have multiple applications in science and engineering. Several challenging problems require special stabilization methods to deliver accurate results of the numerical simulations. The advection-dominated diffusion problem is an example of such problems. They are employed to model pollution propagation in the atmosphere. Unstable numerical methods generate unphysical oscillations, and they make no physical sense. Obtaining accurate and stable numerical simulations is difficult, and the method of stabilization depends on the parameters of the partial differential equations. They require a deep knowledge of an expert in the field of numerical analysis. We propose a method to construct and train an artificial expert in stabilizing numerical simulations based on partial differential equations. We create a neural network-driven artificial intelligence that makes decisions about the method of stabilizing computer simulations. It will automatically stabilize difficult numerical simulations in a linear computational cost by generating the optimal test functions. These test functions can be utilized for building an unconditionally stable system of linear equations. The optimal test functions proposed by artificial intelligence will not depend on the right-hand side, and thus they may be utilized in a large class of PDE-based simulations with different forcing and boundary conditions. We test our method on the model one-dimensional advection-dominated diffusion problem.
Abstract
Numerical solutions of Partial Differential Equations with Finite Element Method have multiple applications in science and engineering. Several challenging problems require [...]
- 8
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A numerical set-up for the simulation of infection probability from SARS- CoV-2 in public transport vehicles
E. Schillaci, J. Vera, N. Morozova, J. Rigola

eccomas2022.

Abstract
In this work, a numerical framework aimed at simulating the transport of contaminants and infectious agents within a closed domain is presented. The method employs mature CFD algorithms to calculate air fields with reasonable computational costs. The main objective is to give fast response to stakeholders about air quality indicators in the design phase of HVAC systems. A discussion regarding the size and characteristics of different contaminants is proposed, highlighting the most appropriate methods and coefficients needed to simulate their transport. Next, the methodology employed to evaluate the risk of infection is presented. The numerical set-up, based on the buoyantBoussinesqPimpleFoam solver in OpenFOAM, was tuned by simulating the well-known case of the heated floor cavity, providing accurate results. Hence, the case study of a transport vehicle of generic shape is presented, in order to show possible results in terms of air-age distribution, PM2.5 distribution, and global infection risk matrix.
Abstract
In this work, a numerical framework aimed at simulating the transport of contaminants and infectious agents within a closed domain is presented. The method employs mature [...]
- 2
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A CFD-based multi-fidelity surrogate model for prediction of flow parameters in a ventilated room
N. Morozova, F. Trias, V. Vanovskiy, C. Oliet, E. Burnaev

eccomas2022.

Abstract
In this work, we present a multi-fidelity machine learning surrogate model, which predicts comfort-related flow parameters in a ventilated room with a heated floor. The model uses coarseand fine-grid CFD data obtained using LES turbulence models. The dataset is created by changing the width aspect ratio of the rooms, inlet flow velocity, and temperature of the hot floor. The surrogate model takes the values of temperature and velocity magnitude at four different cavity locations as inputs. These probes are located such that they could be replaced by actual sensor readings in a practical case. The model's output is a set of comfort-related flow parameters. We test two multi-fidelity approaches based on Gaussian process regression (GPR), among them GPR with linear correction (LC GPR), and multi-fidelity GPR (MF GPR) or cokriging. The computational cost and accuracy of these approaches are compared with GPRs based on single-fidelity data. All of the tested multi-fidelity approaches successfully reduce the computational cost of dataset generation compared to high-fidelity GPR while maintaining the required level of accuracy. The co-kriging approach demonstrates the best trade-off between computational cost and accuracy.
Abstract
In this work, we present a multi-fidelity machine learning surrogate model, which predicts comfort-related flow parameters in a ventilated room with a heated floor. The model [...]
- 2
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Refinement techniques for spline spaces with cloud-based geomiso TNL software
P. Karakitsios, P. Kolios, A. Leontaris, G. Karaiskos

eccomas2022.

Abstract
Geomiso TNL is a new both on-premises and cloud-based software, which delivers isogeometric analysis (IGA) and 3D design with splines. It combines IGA and cloud computing, one of the fastest growing fields in IT industry. The combination of cloud computing and advanced refinement techniques constitutes a real game changer in CAD/CAE fields. Cloud-based IGA represents the future of product engineering, soon to become an industry standard. Automatic mesh refinement has not been widely adopted in industry, because it requires access to the exact geometry. This hybrid program achieves seamless and automatic communication with CAD, thus mesh refinement utilizes the exact geometry, while cloud computing enables users to execute large-scale simulation experiments without the need for dedicated hardware. The recently developed cloud-based platform www.geomiso.cloud is introduced to help engineers and industries make effective use of inelastic static isogeometric analysis and design with advanced spline techniques. It is argued that Geomiso TNL is a new, more efficient, alternative to FEA software packages. This is the first time ever such a cloud-based program has been developed.
Abstract
Geomiso TNL is a new both on-premises and cloud-based software, which delivers isogeometric analysis (IGA) and 3D design with splines. It combines IGA and cloud computing, [...]
- 7
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PSYDAC: a high-performance IGA library in Python
Y. Güçlü, S. Hadjout, A. Ratnani

eccomas2022.

Abstract
Psydac is a Python 3 library for the solution of partial differential equations, which combines the convenience of a domain specific language with the speed of a high-performance parallel engine. Its main focus is on isogeometric analysis using tensor-product B-spline finite elements; to this end it uses an optimized sparse format called 'stencil matrix', which drastically reduces memory storage compared to the popular CSR/CSC formats. It supports multi-patch mapped geometries, and finite element exterior calculus. It can distribute each domain patch across many MPI processes, with multiple OpenMP threads operating in each block. The users of Psydac define a weak form of the model equations through SymPDE, an extension of Sympy that provides the mathematical expressions and checks their semantic validity. Simple mappings can be defined analytically, and multi-patch NURBS geometries can be imported from file. Once a finite element discretization is chosen, Psydac maps abstract concepts onto concrete objects, the basic building blocks being MPI-distributed vectors and matrices. Python code is automatically generated for the model-specific operations, namely matrix and vector assembly, and user-defined diagnostics. Finally, Psydac accelerates all computationally intensive operations using Pyccel, a transpiler which converts Python code to either C or Fortran. We present the library design, the typical usage workflow, the user interface for a simple 2D example, and the parallel scaling results in a large 3D simulation. In addition we show a few complex applications in fluid dynamics and electromagnetism, where the accuracy of the solver is verified against manufactured and reference solutions.
Abstract
Psydac is a Python 3 library for the solution of partial differential equations, which combines the convenience of a domain specific language with the speed of a high-performance [...]
- 9
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Advanced Experiments on Gaussian Process-based Multi-fidelity Methods over Diverse Mathematical Characteristics
S. Yildiz, H. Pehlivan-Solak, M. Diez, O. Goren, M. Nikbay

eccomas2022.

Abstract
Advanced applications of multi-fidelity surrogate modelling techniques provide significant improvements in optimization and uncertainty quantification studies in many engineering fields. Multi-fidelity surrogate modelling can efficiently save the design process from the computational time burden caused by the need for numerous computationally expensive simulations. However, no consensus exists about which multi-fidelity surrogate modelling technique usually exhibits superiority over the other methods given for certain conditions. Therefore, the present paper focuses on assessing the performances of the Gaussian Process-based multi-fidelity methods across selected benchmark problems, especially chosen to capture diverse mathematical characteristics, by experimenting with their learning processes concerning different performance criteria. In this study, a comparison of Linear-Autoregressive Gaussian Process and NonlinearAutoregressive Gaussian Process methods is presented by using benchmark problems that mimic the behaviour of real engineering problems such as localized behaviours, multi-modality, noise, discontinuous response, and different discrepancy types. Our results indicate that the considered methodologies were able to capture the behaviour of the actual function sufficiently within the limited amount of budget for 1-D cases. As the problem dimension increases, the required number of training data increases exponentially to construct an acceptable surrogate model. Especially in higher dimensions, i.e. more than 5-D, local error metrics reveal that more training data is needed to attain an efficient surrogate for Gaussian Process based strategies.
Abstract
Advanced applications of multi-fidelity surrogate modelling techniques provide significant improvements in optimization and uncertainty quantification studies in many engineering [...]
- 8
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Simulation of wind induced excitation of a membrane structure with ponding water
N. Kodunthirappully Narayanan, R. Wüchner, J. Degroote

eccomas2022.

Abstract
This paper proposes a new partitioned coupling approach to simulate the wind induced excitation of a membrane structure with ponding water. This approach uses three different solvers to simulate wind, water and membrane structure. The main assumption here is that the interaction between the wind and water can be neglected due to the small depth and small fetch of the water, relative to the size of the membrane structure. This assumption results in a coupling strategy where the structural solver independently interacts with the wind and water solver. The results from this method is compared with a straightforward approach, where a two-phase solver, modeling the wind and water, is coupled to a structural solver. The obtained results agreed very well with the reference modeling approach, where all the interactions are taken into account. Furthermore, the proposed method was found to be computationally more efficient.
Abstract
This paper proposes a new partitioned coupling approach to simulate the wind induced excitation of a membrane structure with ponding water. This approach uses three different [...]
- 3
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Isogeometric analysis of industry applications with Geomiso SEA: a new hybrid software for shell analysis
P. Karakitsios, V. Tsotoulidi, P. Kolios, G. Mprellas

eccomas2022.

Abstract
In this paper the new Geomiso SEA software (www.geomiso.com) is proposed for applications on inelastic static isogeometric analysis with shell elements. This hybrid program is applicable to real world structures, while it satisfies the rising need for technical software of dual CAD/CAA nature. It is based on the new isogeometric method, which has attracted a lot of attention for solving boundary value problems. T-spline-based isogeometric shell analysis efficiently handles multi-patch geometries. Geomiso SEA is not just a plug-in, but a complete software solution, used to simulate spline models of structures or machine components, for analyzing their strength and behavior. The utilization of the exact mesh for analysis vanishes geometric errors, while there is no need of repeating the geometry design for refinement purposes. Industry applications on both thick and thin shells are demonstrated with a comparison between Geomiso SEA and FEA programs. This unique solution for seamless integration of the industrial design of shell geometries with its computational realtime testing, appears to be preferable to FEA programs, representing major improvements, such as higher accuracy, and considerably reduced computational cost.
Abstract
In this paper the new Geomiso SEA software (www.geomiso.com) is proposed for applications on inelastic static isogeometric analysis with shell elements. This hybrid program [...]
- 5
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A mechanically consistent model for fluid-structure interactions with contact including seepage
S. Frei, E. Burman, M. Fernandez, F. Gerosa

eccomas2022.

Abstract
In order to make the numerical simulation of atherosclerotic plaque growth feasible, a temporal homogenization approach is employed. The resulting macro-scale problem for the plaque growth can be further accelerated by using parallel time integration schemes, such as the parareal algorithm. However, the parallel scalability is dominated by the computational cost of the coarse propagator. Therefore, in this paper, an interpolation-based coarse propagator, which uses growth values from previously computed micro-scale problems, is introduced. For a simple model problem, it is shown that this approach reduces both the computational work for a single parareal iteration as well as the required number of parareal iterations.
Abstract
In order to make the numerical simulation of atherosclerotic plaque growth feasible, a temporal homogenization approach is employed. The resulting macro-scale problem for [...]
- 3
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Multi-fidelity active learning for shape optimization problems affected by noise
J. Wackers, R. Pellegrini, M. Diez, A. Serani, M. Visonneau

eccomas2022.

Abstract
The efficiency of simulation-driven design optimization based on surrogate models, depends strongly on the suitability of the surrogate model for the simulation data on which it is based. We investigate adaptive surrogate modelling methods that maximize the efficiency and the robustness for any optimization problem. Specific techniques include: adaptive sampling, noise filtering by metamodel tuning, and small initial datasets to give maximum freedom to the adaptation. These methodological advancements are demonstrated for an analytical test problem, as well as the shape optimization of the DTMB 5415 ship model for calm-water resistance.
Abstract
The efficiency of simulation-driven design optimization based on surrogate models, depends strongly on the suitability of the surrogate model for the simulation data on which [...]
- 1
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Reduced-order model for large amplitude vibrations of flexible structures coupled with a flow
T. Flament, J. Deü, A. Placzek, M. Balmaseda, D. Tran

eccomas2022.

Abstract
This work concerns the numerical modeling of the vibrations of geometrically nonlinear structures coupled with a fluid flow. Firstly, a reduced-order model (ROM) for the geometrically nonlinear structure is proposed. Then, the aforementioned ROM is used to replace a Finite Element solver (FE) in the frame of a fluid-structure partitioned coupling on a two-dimensional example involving vortex induced vibrations.
Abstract
This work concerns the numerical modeling of the vibrations of geometrically nonlinear structures coupled with a fluid flow. Firstly, a reduced-order model (ROM) for the geometrically [...]
- 4
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Fluid-structure interaction simulation of a wire-wrapped tube array using overset grids
H. Dolfen, D. Van Hauwermeiren, A. Bral, J. Degroote

eccomas2022.

Abstract
Axial flows in tube bundle geometries are omnipresent in nuclear power plants, including fuel assemblies and heat exchangers. The tubes are often long and slender which makes them susceptible to flow-induced vibrations. Current reactor research investigates the use of wires helicoidally wound around each rod, to preserve their mutual distance. This poses new challenges for numerical simulations. The wire-wrapped geometry is complex, among other things due to small gaps, making the meshing process complicated and cumbersome. This research explores the use of overset grids for such wire-wrapped tube bundles. This meshing method allows grids to overlap and the flow solution is interpolated between the different grids, providing more freedom for meshing. In this case the approach consists of making one grid for a single tube with a wire, termed the component mesh, and placing this grid in a so-called background mesh that takes into account other geometrical features (e.g. the bundle duct). In the case of bundles, the same tube mesh can be repeated several times without additional meshing effort, regardless of the bundle size. The approach is verified using 4 cases found in literature, using the same component mesh either one or multiple times for each case, thus reducing the meshing effort to a minimum thanks to the freedom and re-usability overset offers. The first two cases involve a fluid-structure interaction simulation of a single wire-wrapped tube in a cylindrical domain, the first one simulating a steady deformation and the second one a free vibration of the tube. Good agreement with results in literature was found. The latter two cases are Computational Fluid Dynamics simulations of a 7-pin and 19-pin bundle in a hexagonal duct, and excellent agreement with literature results was obtained. The overset approach was proven beneficial for simulating wire-wrapped bundle geometries: with largely reduced effort the same predictive capabilities can be obtained and potentially even extended.
Abstract
Axial flows in tube bundle geometries are omnipresent in nuclear power plants, including fuel assemblies and heat exchangers. The tubes are often long and slender which makes [...]
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Fuzzy logic based rapid visual screening methodology for structural damage state determination of URM buildings
N. Bektaş

eccomas2022.

Abstract
Most of the Unreinforced Masonry (URM) buildings are quite old in Europe based on 'Building stock inventory to assess seismic vulnerability across Europe' [1] report. Following the earthquakes (Albania, Italy, etc.) that occurred in Europe, it was revealed that masonry buildings are extremely vulnerable. While probabilistic and deterministic approaches are important for examining a small number of buildings, they do not offer the opportunity to examine a large building stock in a short period of time. Rapid Visual Screening (RVS) methods are used to identify building preand post-earthquake vulnerability. Several RVS techniques have been presented in literature over last 30 years. Recent earthquakes have highlighted critical necessity of a rapid vulnerability assessment method for pre-earthquake warning, mitigation, preparedness, and post-earthquake damage state assessment of existing buildings. These findings demonstrate the importance of using an accurate RVS technique to inspect buildings. Due to the subjectivity of the screener, these RVS methods contain uncertainty and vagueness. Fuzzy Inference System (FIS) overcomes nonrandom uncertainty and vagueness by considering building characteristics in terms of their degree of truth. This paper introduces a FIS-based SRVS case implementation and compares FIS-based Soft-RVS (S-RVS) to traditional RVS methods for identifying building damage state taking into account rapid visual assessment reports about damage caused by the 2019 Albania earthquake. To determine the damage states of URM buildings, 40 buildings damaged in the 2019 Albania earthquake were analyzed and processed to use in the applied fuzzy logic mathematical model. Initial findings demonstrate that the site-specific FIS-based S-RVS method is capable of accurately determining the damage states of at least half of the buildings.
Abstract
Most of the Unreinforced Masonry (URM) buildings are quite old in Europe based on 'Building stock inventory to assess seismic vulnerability across Europe' [1] report. [...]
- 23
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Space-time fluid-structure interaction: formulation and dG(0) time discretization
D. Khimin, J. Roth, T. Wick

eccomas2022.

Abstract
This contribution is related to the key-note lecture `Space-time fluid-structure interaction with adjoint-based methods for error estimation and optimization' given in the Minisymposium `Innovative Methods for Fluid-Structure Interaction'. The main objective is twofold. First, we design function spaces and a space-time variational-monolithic formulation of fluid-structure interaction in arbitrary Lagrangian-Eulerian coordinates. Second, we apply a Galerkin-time discretization using discontinuous finite elements of degree r = 0. Therein, the main emphasis is on the correct derivation of the jump terms and the integration of nonlinear time derivatives, as the latter arise due to the arbitrary Lagrangian-Eulerian transformation.
Abstract
This contribution is related to the key-note lecture `Space-time fluid-structure interaction with adjoint-based methods for error estimation and optimization' given in [...]
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A Mixed Finite Element Formulation for Arbitrary Element Geometries and Nearly-Incompressible Finite Elasticity
B. Sauren, S. Klarmann, S. Klinkel

eccomas2022.

Abstract
In this contribution, the displacement-based scaled-boundary finite element method (SBFEM) is extended to a mixed displacement-pressure formulation for the geometrically and materially nonlinear analysis of nearly-incompressible solids. The displacements and pressures are both parameterized by a scaled-boundary approach, for which an interpolation in the scaling direction is used. Here, higher-order interpolation functions may be employed. It is shown that by introducing the pressure as a field variable, volumetric locking is no longer present. The approach is valid for arbitrary scaling center locations, which can be either inside or outside of the element domain. Other than that, the formulation is valid for non-star-convex element geometries. Numerical examples show that the method is capable of alleviating volumetric locking for arbitrary polygonal meshes and is beneficial in comparison to the displacement-based method when it comes to modeling nearly-incompressible materials.
Abstract
In this contribution, the displacement-based scaled-boundary finite element method (SBFEM) is extended to a mixed displacement-pressure formulation for the geometrically and [...]
- 10
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Multiscale kinetic transport models for the spread of epidemics with uncertain data
G. Bertaglia

eccomas2022.

Abstract
Most epidemiological models are rooted in the pioneering work proposed by Kermack and McKendrick and are based on systems of deterministic ODEs, which describe the temporal evolution of the spread of an infectious disease assuming population and territorial homogeneity. Generally, the concept of the average behavior of a population is sufficient to have a first reliable description of an epidemic development, but the inclusion of the spatial component becomes crucial when it is necessary to consider spatially heterogeneous interventions, as in the case of the COVID-19 pandemic. Moreover, any realistic data-driven model must take into account the large uncertainty in the values reported by official sources such as the amount of infectious individuals. In this work, drawing inspiration from kinetic theory, recent advances on the development of stochastic multiscale kinetic transport models for the spread of epidemics under uncertain data are presented. The propagation of the infectious disease is described by the spatial movement and interactions of individuals divided into commuters moving in the territory on a wide scale and non-commuters acting only on urban scales. The resulting models are solved numerically through a suitable stochastic Asymptotic-Preserving IMEX Runge-Kutta Finite Volume Collocation Method, which ensures a consistent treatment of the system of equations, without loss of accuracy when entering in the stiff, diffusive regime. Application studies concerning the spread of the COVID-19 pandemic in Italy assess the validity of the proposed methodology.
Abstract
Most epidemiological models are rooted in the pioneering work proposed by Kermack and McKendrick and are based on systems of deterministic ODEs, which describe the temporal [...]
- 4
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Modelling the COVID-19 pandemic: variants and vaccines
A. Kubik, A. Ramos, B. Ivorra, M. Vela-Pérez, M. Ferrández

eccomas2022.

Abstract
In December 2019, a new coronavirus, the SARS-CoV-2, was detected in the Chinese city of Wuhan. Since then, many mathematical models have been developed to study the possible evolution of the COVID-19 disease and shed some light on the different biological processes of concern. On 14 December 2020, the United Kingdom reported a potentially more contagious and lethal variant of the virus, at the same time that different vaccines were being tested in order to prevent severe forms of the disease. In the following lines, we revisit a model proposed by our team, which took into account these two determining facts, showing its performance with real Italian data.
Abstract
In December 2019, a new coronavirus, the SARS-CoV-2, was detected in the Chinese city of Wuhan. Since then, many mathematical models have been developed to study the possible [...]
- 23
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Extended virtual element method for two-dimensional fracture modeling in linear elasticity
A. Chiozzi, E. Benvenuti, G. Manzini, N. Sukumar

eccomas2022.

Abstract
The virtual element method (VEM), is a stabilized Galerkin scheme deriving from mimetic finite differences, which allows for very general polygonal meshes, and does not require the explicit knowledge of the shape functions within the problem domain. In the VEM, the discrete counterpart of the continuum formulation of the problem is defined by means of a suitable projection of the virtual shape functions onto a polynomial space, which allows the decomposition of the bilinear form into a consistent part, reproducing the polynomial space, and a correction term ensuring stability. In the present contribution, we outline an extended virtual element method (X-VEM) for two-dimensional elastic fracture problems where, drawing inspiration from the extended finite element method (X-FEM), we extend the standard virtual element space with the product of vector-valued virtual nodal shape functions and suitable enrichment fields, which reproduce the singularities of the exact solution. We define an extended projection operator that maps functions in the extended virtual element space onto a set spanned by the space of linear polynomials augmented with the enrichment fields. Numerical examples in 2D elastic fracture are worked out to assess convergence and accuracy of the proposed method for both quadrilateral and general polygonal meshes.
Abstract
The virtual element method (VEM), is a stabilized Galerkin scheme deriving from mimetic finite differences, which allows for very general polygonal meshes, and does not require [...]
- 3
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Numerical treatment of the vectorial equations of solar oscillations
T. Alemán, M. Halla, C. Lehrenfeld, P. Stocker

eccomas2022.

Abstract
Driven by the challenging task of finding robust discretization methods for Galbrun's equation, we investigate conditions for stability and different aspects of robustness for different finite element schemes on a simplified version of the equations. The considered PDE is a second order indefinite vector-PDE which remains if only the highest order terms of Galbrun's equation are taken into account. A key property for stability is a Helmholtz-type decomposition which results in a strong connection between stable discretizations for Galbrun's equation and Stokes and nearly incompressible linear elasticity problems.
Abstract
Driven by the challenging task of finding robust discretization methods for Galbrun's equation, we investigate conditions for stability and different aspects of robustness [...]
- 5
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Hybrid Finite-Volume/Discontinuous Galerkin framework for the solution of Multiphysics problems using unstructured meshes
V. Maltsev, P. Tsoutsanis, M. Skote

eccomas2022.

Abstract
A hybrid FV/DG framework is developed for the simulation of compressible multispecies flows on unstructured meshes with a five-equation Diffuse-Interface Model [1]. The high order DG method is employed for the purpose of limiting the material interface smearing typical of the diffuse-interface models resulting from excessive numerical dissipation [2, 3]. In order to ensure high-order accuracy in smooth flow regions and non-oscillatory behaviour near shocks or material interfaces, the hybrid scheme resorts to the underlying FV method when invalid cells are detected by a troubled cell indicator checking the unlimited DG solution, and enables a highorder non-linear CWENOZ reconstruction [4,5] if the solution present oscillations. The CWENO and CWENOZ type reconstruction uses a high-order polynomial for the central stencil and a lower-order polynomial for the directional stencils enhancing robustness and efficiency of classic WENO schemes. To achieve consistency in advecting material interfaces at constant pressure and velocity, the source term from the non-conservative equation is discretised compatibly with the Riemann solver, following the work of Johnsen and Colonius [6].
Abstract
A hybrid FV/DG framework is developed for the simulation of compressible multispecies flows on unstructured meshes with a five-equation Diffuse-Interface Model [1]. The high [...]
- 10
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Under-resolved Direct Numerical Simulation of NACA0012 at Stall
M. Lahooti, G. Vivarelli, F. Montomoli, S. Sherwin

eccomas2022.

Abstract
In this work a high-order spectral-h/p element solver is employed to efficiently but accurately resolve the flow field around the NACA0012 aerofoil.
- 3
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A PINN computational study for a scalar 2D inviscid Burgers model with Riemann data
R. Carniello, J. Florindo, E. Abreu

eccomas2022.

Abstract
In this work, we present an application of modern deep learning methodologies to the numerical solution of two dimensional hyperbolic partial differential equations in transport models. More specifically, we employ a supervised deep neural network that takes into account of initial-boundary value problems for a scalar, 2D inviscid Burgers model including the case with Riemann data, whose solutions develop discontinuity, containing both shock wave and rarefaction wave. We also apply the proposed PINN approach to the linear advection equation with periodic sinusoidal initial condition. Our results suggest that a relatively simple deep learning model was capable of achieving promising results in the linear advection and inviscid Burgers equation with rarefaction, providing numerical evidence of good approximation of weakentropy solutions to the case of nonlinear 2D inviscid Burgers model. For the Riemann problems, the neural network performed better when rarefaction wave is predominant. The premises underlying these preliminary results as an integrated physics-informed deep learning approach are promising. However, there are hints of evidence suggesting specific fine tuning on the PINN methodology for solving hyperbolic-transport problems in the presence of shock formation in the solutions.
Abstract
In this work, we present an application of modern deep learning methodologies to the numerical solution of two dimensional hyperbolic partial differential equations in transport [...]
- 4
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Using Graph Neural Network for gas-liquid interface reconstruction in Volume Of Fluid methods
M. BUCCI, J. GRATIEN, T. FANEY, T. NAKANO, G. CHARPIAT

eccomas2022.

Abstract
The volume of fluid (VoF) method is widely used in multi-phase flow simulations to track and locate the interface between two immiscible fluids. A major bottleneck of the VoF method is the interface reconstruction step due to its high computational cost and low accuracy on unstructured grids. We propose a machine learning enhanced VoF method based on Graph Neural Networks (GNN) to accelerate the interface reconstruction on general unstructured meshes. We first develop a methodology to generate a synthetic dataset based on paraboloid surfaces discretized on unstructured meshes. We then train a GNN based model and perform generalization tests. Our results demonstrate the efficiency of a GNN based approach for interface reconstruction in multi-phase flow simulations in the industrial context.
Abstract
The volume of fluid (VoF) method is widely used in multi-phase flow simulations to track and locate the interface between two immiscible fluids. A major bottleneck of the [...]
- 2
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Parametric Compressible Flow Predictions using Physics-Informed Neural Networks
S. Wassing, S. Langer, P. Bekemeyer

eccomas2022.

Abstract
The numerical approximation of solutions to the compressible Euler and Navierstokes equations is a crucial but challenging task with relevance in various fields of science and engineering. Recently, methods from deep learning have been successfully employed for solving partial differential equations by incorporating the equations into a loss function that is minimized during the training of a neural network. This approach yields a so-called physics-informed neural network which does not rely on a classical discretization and can address parametric problems in a straightforward manner. Therefore, it avoids characteristic difficulties of traditional approaches, such as finite volume methods. This has raised the question, whether physics-informed neural networks may be a viable alternative to conventional methods for computational fluid dynamics. Here, we show a new physics-informed neural network training procedure to approximately solve the two-dimensional compressible Euler equations, which makes use of artificial dissipation during the training process. We demonstrate how additional dissipative terms help to avoid unphysical results and how the additional numerical viscosity can be reduced during training while iterating towards a solution. Furthermore, we showcase how this approach can be combined with parametric boundary conditions. Our results highlight the appearance of unphysical results when solving compressible flows with physics-informed neural networks and offer a new approach to overcome this problem. We therefore expect that the presented methods enable the application of physics-informed neural networks for previously difficult to solve problems.
Abstract
The numerical approximation of solutions to the compressible Euler and Navierstokes equations is a crucial but challenging task with relevance in various fields of science [...]
- 4
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Feedback reconstruction techniques for optimal control problems on a tree structure
A. Alla, L. Saluzzi

eccomas2022.

Abstract
The computation of feedback control using Dynamic Programming equation is a difficult task due the curse of dimensionality. The tree structure algorithm is one the methods introduced recently that mitigate this problem. The method computes the value function avoiding the construction of a space grid and the need for interpolation techniques using a discrete set of controls. However, the computation of the control is strictly linked to control set chosen in the computation of the tree. Here, we extend and complete the method selecting a finer control set in the computation of the feedback. This requires to use an interpolation method for scattered data which allows us to reconstruct the value function for nodes not belonging to the tree. The effectiveness of the method is shown via a numerical example.
Abstract
The computation of feedback control using Dynamic Programming equation is a difficult task due the curse of dimensionality. The tree structure algorithm is one the methods [...]
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Structure-Preserving Neural Networks for the N-body Problem
P. Horn, B. Koren, S. Portegies Zwart

eccomas2022.

Abstract
In order to understand when it is useful to build physics constraints into neural networks, we investigate different neural network topologies to solve the N -body problem. Solving the chaotic N -body problem with high accuracy is a challenging task, requiring special numerical integrators that are able to approximate the trajectories with extreme precision. In [1] it is shown that a neural network can be a viable alternative, offering solutions many orders of magnitude faster. Specialized neural network topologies for applications in scientific computing are still rare compared to specialized neural networks for more classical machine learning applications. However, the number of specialized neural networks for Hamiltonian systems has been growing significantly during the last years [3, 5]. We analyze the performance of SympNets introduced in [5], preserving the symplectic structure of the phase space flow map, for the prediction of trajectories in N -body systems. In particular, we compare the accuracy of SympNets against standard multilayer perceptrons, both inside and outside the range of training data. We analyze our findings using a novel view on the topology of SympNets. Additionally, we also compare SympNets against classical symplectic numerical integrators. While the benefits of symplectic integrators for Hamiltonian systems are well understood, this is not the case for SympNets.
Abstract
In order to understand when it is useful to build physics constraints into neural networks, we investigate different neural network topologies to solve the N -body problem. [...]
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An accelerated deflation preconditioner for parametric systems based on subspace recycling
D. Panagiotopoulos, W. Desmet, E. Deckers

eccomas2022.

Abstract
Krylov subspace recycling [1] is often deployed to accelerate the iterative solution of sequences of linear systems. Such approaches reuse a continuously updated deflation subspace to reach a converged solution within a low number of iterations. This procedure is justified for problems that describe gradually evolving phenomena, such as crack propagation, and thus involve a sequence of systems that are not simultaneously available. However considering parametric systems, these techniques might induce an unnecessary overhead cost. Specifically, by constantly updating the recycled subspace a new projection on the newly constructed subspace needs to be operated for each new system, inducing a cost that scales with O( × N2) for dense systems, where N is the size of the system and is the size of the employed recycled basis. In that context, this work proposes an accelerated recycling procedure for parametric systems that is inspired by the Galerkin Model Order Reduction strategy and employs an offline online operation splitting. In the offline part, the subspace to be recycled is constructed via an Automatic Krylov subspaces Recycling algorithm (AKR) [2] and the parametric system is projected on the subspace to yield a Reduced Order Model (ROM). Then, in the online part the construction of the deflation preconditioner only requires employing the ROM and as a result the cost of constructing the preconditioner is reduced to O(2). The proposed procedure is tested on a randomly parametrized linear system and is compared the non-deflated GMRES algorithm and a conventional recycling strategy presented in [11].
Abstract
Krylov subspace recycling [1] is often deployed to accelerate the iterative solution of sequences of linear systems. Such approaches reuse a continuously updated deflation [...]
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Mixed finite element formulations and energy-momentum time integrators for thermo-viscoelastic gradient-based fiber-reinforced continua
J. Dietzsch, M. Groß, I. Kalaimani

eccomas2022.

Abstract
Nowadays, fibre-reinforced materials and their accurate dynamic simulation play a significant role in the construction of lightweight structures. On the one hand, we are dealing with locking of the matrix material as well as the fibres, thermal expansion, the directed heat conduction through the fibres and viscoelastic behaviour in such materials. The material reinforcement is performed by fiber rovings with a separate bending stiffness, which can be modelled by second order gradients. On the other hand, we also want to perform accurate long-term simulations. In this presentation, we focus on numerically stable dynamic long-time simulations with locking free meshes, and thus use higherorder accurate energy-momentum schemes emanating from mixed finite element methods. We adapt the variational-based space-time finite element method in Reference [1] to the material formulation, and additionally include independent fields to obtain well-known mixed finite elements [2, 3].
Abstract
Nowadays, fibre-reinforced materials and their accurate dynamic simulation play a significant role in the construction of lightweight structures. On the one hand, we are dealing [...]
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A tensor-product finite element cochain complex with arbitrary continuity
F. Bonizzoni, G. Kanschat

eccomas2022.

Abstract
We develop tensor product finite element cochain complexes of arbitrary smoothness on Cartesian meshes of arbitrary dimension. The first step is the construction of a onedimensional Cm-conforming finite element cochain complex based on a modified Hermite interpolation operator, which is proved to commute with the exterior derivative by means of a general commutation lemma. Adhering to a strict tensor product construction we then derive finite element complexes in higher dimensions.
Abstract
We develop tensor product finite element cochain complexes of arbitrary smoothness on Cartesian meshes of arbitrary dimension. The first step is the construction of a onedimensional [...]
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Least-Squares and DPG approximation of eigenvalue associated to coupled problems
F. Bertrand

eccomas2022.

Abstract
The Arts and Science Contest of the ECCOMAS Young Investigators Committee (EYIC) aims to show science in all its beauty and elegance, by visualizing scientific works with an artistic point of view. The competition was open to every participant with an accepted the visuals were uploaded in 4 groups on the ECCOMAS Facebook page, one group per week. The visual with the most likes of each group was put in the finalists short-list, and a jury chose the final winners of the contest. The starry night of reaction diffusion won this competition and the present contribution presents the numerical method behind the picture.
Abstract
The Arts and Science Contest of the ECCOMAS Young Investigators Committee (EYIC) aims to show science in all its beauty and elegance, by visualizing scientific works with [...]
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DEVELOPMENT OF METHODOLOGICAL APPROACHES TO LONG-TERM BUDGET FORECAST IN THE REGIONS OF THE RUSSIAN FEDERATION
A. Deryugin, A. Komarnitskaya, N. Barbashiova

RUSSIAN PRESIDENTIAL ACADEMY OF NATIONAL ECONOMY AND PUBLIC ADMINISTRATION (2022). 169

Abstract
The subject of this research is the analysis of long-term budget forecasts of the constituent units of the Russian Federation. The relevance of the study is determined by the need to update the Methodological Recommendations of the Ministry of Finance of Russia on the preparation of long-term regional budget forecasts, which have not been updated since 2015. The goal of the study is to develop recommendations for the constituent units of the Russian Federation to improve the long-term budget forecasting. The scientific novelty of the study lies in identifying, based on the examination of subnational experience of foreign countries, “the best practices” that can be used in Russia for long-term budget forecasting, and analyzing the quality of existing long-term budget forecasts of the constituent units of the Russian Federation. The research method is the analysis of international and domestic experience of building budget forecasts, methods of grouping, system analysis and synthesis. This study used data from official websites of the foreign authorities responsible for long-term budget forecasting, as well as approved long-term budget forecasts of the constituent units of the Russian Federation, presented in the ConsultantPlus: Regions legal reference system and on the official Internet sites of the executive authorities of the constituent units of the Russian Federation. Based on the results of the study, recommendations were formulated for the regions of the Russian Federation to improve the quality of budget forecasting: increase of the forecasting horizon to at least 30 years, which includes short-term, medium-term and long-term components, with a description of each component’s features, modification of the composition and structure of long-term budget forecasts, determination of the relationship with the regional budget, medium-term budget forecasts, specifying the practical role of the forecast in political and budgeting processes. The authors conclude that a forecast should be used not only in its conventional form of a document approved by the regional regulatory documents, but also as a calculator with parameters (a set of formulas) for internal use by the regional financial authorities, used to assess the budgetary implications of the proposed measures and decisions and to calculate the limitations of budget parameters in the process of drafting the budget. Research prospects are to analyze the results of pilot implementation of the proposed approach to long-term budget forecasting in Russian regions
Abstract
The subject of this research is the analysis of long-term budget forecasts of the constituent units of the Russian Federation. The relevance of the study is determined by [...]
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THEORETICAL AND EMPIRICAL ASPECTS OF DETERMINING THE EXPECTATIONS OF ECONOMIC AGENTS BASED ON TEXT ANALYSIS
V. Gracheva, D. Petrova

RUSSIAN PRESIDENTIAL ACADEMY OF NATIONAL ECONOMY AND PUBLIC ADMINISTRATION (2022). 170

Abstract
The Internet is a public source of information, where information can be found at minimum search cost. Social media are becoming increasingly popular among web users trying to find and analyze information about the current economic situation. Web users get the opportunity to exchange views or discuss various issues in the news communities of social networks. This information can be used by economic agents to make decisions. Thus, the study of user behavior in social networks makes it possible to identify the expectations and preferences of economic agents. The goal of this study is to assess the expectations and sentiments of economic agents based on textual analysis of social media data. The study addresses the following objectives: Analysis of the mechanisms of influence of the information dissemination and networking effects on the behavior of economic agents; Systematization of the results of theoretical and empirical analysis of the economic agents’ expectations; An overview of machine learning methods used in text processing; Development of an algorithm for identifying sources of information for web scraping and rules for selecting text information to create a body of posts and comments; Collecting a database and preparing posts and comments for text analysis; Application of topic modeling to the identification of topics and keywords in social media data; Assessment of high-frequency indicators of the public sentiment. The subject of the research is a quantitative assessment of the sentiment of web users based on Russian data. The novelty of the study is the assessment of inflation expectations, sentiments in the foreign exchange market and indices of economic conditions using structured and unstructured internet data. Methods: topic modeling; machine learning methods and econometric methods of time series analysis. The study is based on data for Russia in 2014-2021. The study shows that social media posts, search queries and online news articles can be good proxy variables for the economic agents’ expectations. We construct three types of public confidence indicators based on internet data: inflation expectations; sentiment in the foreign exchange market and index of economic conditions. The results of econometric analysis indicate that the quality of macroeconomic performance models with sentiment indicators is higher than without these indicators. Additionally, indicators based on VK posts, RBC news articles and Google Trends search queries are more informative compared to comments. The main conclusion of the study is that internet data can improve the quality of macroeconomic performance models. In a further study, we plan to expand the list of indicators of the sentiment of economic agents and to evaluate advanced time series models
Abstract
The Internet is a public source of information, where information can be found at minimum search cost. Social media are becoming increasingly popular among web users trying [...]
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MODELLING THE EFFECTS OF BANK OF RUSSIA’S MONETARY POLICY ON EAEU COUNTRIES
E. Dobronravova, M. Orekhov, I. Yakovleva

RUSSIAN PRESIDENTIAL ACADEMY OF NATIONAL ECONOMY AND PUBLIC ADMINISTRATION (2022). 171

Abstract
In this paper we estimate the effects of the Bank of Russia’s monetary policy on the Eurasian Economic Union members. The relevance of the study arises from two points: first, economic integration implies coordination in macroeconomic policy; second, fluctuations of Russian economy as the biggest economy in the region cause fluctuations in the whole EAEU, changing the flows of goods and resources. The purpose of this paper is to identify key effects and channels of cross-border transmission of Bank of Russia’s monetary policy under changing monetary regimes of the EAEU countries. For the empirical model we use quarterly data on EAEU key macroeconomic indicators from 2000 to 2021, the basic method is block-exogenous structural vector autoregression. Our results show that interest rate channel plays the key role in cross-border transmission of monetary policy effects in the region. The exception is the case when the recipient’s country central bank employs fixed exchange rate regime, rendering international interest rate channel ineffective. Another important channel is international trade: monetary policy tightening leads to the contraction of demand for the imported goods, so the exports of the recipient countries decrease. We conclude that despite heterogenous response among the EAEU countries to monetary shocks occurring in Russia, monetary policy tightening decreases economic activity in the whole economic union. The study can be extended in several ways like the analysis of the synchronization in systematic monetary policy decisions in EAEU or detailed estimations of financial channels of international transmission using banking statistics
Abstract
In this paper we estimate the effects of the Bank of Russia’s monetary policy on the Eurasian Economic Union members. The relevance of the study arises from two points: [...]
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THEORETICAL BASIS OF STATE DECENTRALIZATION
A. Mikhaylova, E. Timushev

RUSSIAN PRESIDENTIAL ACADEMY OF NATIONAL ECONOMY AND PUBLIC ADMINISTRATION (2022). 172

Abstract
The issue of decentralization in the public administration system in Russia has acquired new urgency in the context of the 2020 crisis. Other countries of the world have faced similar new challenges. The object of the research is the system of separation of powers between regions and the center in a federal state. The purpose of the study is to determine the principles and limitations of authority delegation from higher to lower tiers (i.e. decentralization), potential benefits and prerequisites of delegation. This research provides an extensive review of the literature on decentralization around the world. Based on the analysis of findings and their synthesis, theoretical ideas are formed as to how to distribute powers within the budgetary system, as well as how decentralization and economic growth are connected. Scientific novelty of the paper lies in revealing the prospective areas of research on the problems of authority delegation and economic growth. It is established that decentralization and close interdependence of revenues and expenditures of territorial budgets promotes private sector development. At the same time, the risks of inefficiency of
Abstract
The issue of decentralization in the public administration system in Russia has acquired new urgency in the context of the 2020 crisis. Other countries of the world have faced [...]
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ESEARCH OF THE PHENOMENON OF STUDENT BULLING
S. Krivtsova, A. Shapkina

RUSSIAN PRESIDENTIAL ACADEMY OF NATIONAL ECONOMY AND PUBLIC ADMINISTRATION (2022). 173

Abstract
Relevance. The Russian schooling system fails to effectively counteract bullying, a phenomenon common in educational organizations around the world, including the Russian Federation. According to the 2019 PISA report for OECD countries, 12% of all children in Russia were identified as victims of school bullying. More and more parents are transferring their children to homeschooling, having lost confidence in the school as an organization capable of ensuring safety: today, bullying experience is linked to child suicides and school shootings. Traditional disciplinary methods do not work in the case of bullying, due to the specificity of this socio-psychological phenomenon. Research object: the phenomenon of bullying in the student environment. Subject: scientifically grounded methodological basis for anti-bullying activities of an educational organization (EO), taking into account the specifics of bullying. Study goal: based on the analysis of international and domestic studies of the phenomenon of school bullying, to create a clear and scientifically grounded basis of anti-bullying activities for educational organizations (EO). Study objectives: to analyze international and domestic research of bullying; to create theoretical basis for the model of anti-bullying activities for schools; to develop guidelines for the organization of anti-bullying activities in schools. Results. Analysis of studies in Russian, English, German languages enabled us to answer key questions about the nature of bullying, patterns and mechanisms of its development, and to give a theoretical basis for the model of anti-bullying activities of EOs, to propose guidelines for organizing anti-bullying activities of EOs. Conclusions: Bullying as a socio-psychological phenomenon, due to its complexity, is immune to the traditional administrative pedagogical methods of influence: special knowledge and skills are required from all involved persons - adults and children. The global experience offers a number of models of anti-bullying activities of educational organizations that have empirically proven to be efficient. They are consistent, with a clear division of goals into levels (school-wide, intra-class, individual psychological: working with victims, working with initiators, working with witnesses, working with parents), assuming leadership and full responsibility by the principal. Recommendations: 1) practical recommendations for organizing anti-bullying activities of EOs – an organizational model, an “emergency response protocol”, and methodological support for the work of employees of an educational organization, – enable developing anti-bullying action programs, but the task of adapting them to the Russian environment, conditions of individual regions and EOs remains urgent, as well as the creation of advanced training programs for school principals and class teachers, educational psychologists and social educators by regional Advanced Training Institutes (ATI). 2) This research requires further development in particular, in relation to the figure of the teacher, who often acts both as a victim of bullying and as its initiator
Abstract
Relevance. The Russian schooling system fails to effectively counteract bullying, a phenomenon common in educational organizations around the world, including the Russian [...]
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THE RELEVANT SCIENTIFIC AND METHODOLOGICAL APPROACHES TO ENSURING FUNDAMENTAL HUMAN RIGHTS IN DATA PROCESSING IN PUBLIC ADMINISTRATION
E. Talapina, V. Yuzhakov, I. Chereshneva

RUSSIAN PRESIDENTIAL ACADEMY OF NATIONAL ECONOMY AND PUBLIC ADMINISTRATION (2022). 174

Abstract
Enforcing fundamental human rights is a constitutional obligation of the Russian Federation. In the digital age, the risks of human rights violations are increasing, making it increasingly relevant to implement a consistent state policy related specifically to data processing in public administration. The objective of this paper is to analyze the scientific and methodological approaches to enforcing fundamental human rights in data processing in public administration and the possibilities for consideration of human rights in the Russian public administration. The subject of the study includes scientific publications, court cases, international and national laws and regulations, including foreign countries. The study uses formal legal and historical legal methods, comparative legal method, method of legal interpretation, logical analysis, general scientific methods of classification and modeling. The results of the study are an analytical review of foreign and Russian scientific and methodological approaches to enforcing fundamental human rights in data processing in digital public administration; systematization of the basic legal grounds for enforcing fundamental human rights in data processing in public administration; the proposals for legal enforcement of fundamental human rights in data processing in the Russian public administration. The study allows drawing conclusions about the lack of attention in the Russian doctrine and practice to the issue of fundamental rights. Since Russian legislation in this area is based on the European model, the implementation of European approaches to data protection is recommended. It is necessary to create special legislation on data processing in public administration, to define the criteria for proper data processing and data storage, to differentiate the types of data collection and data processing, to ensure transparency. Based on advanced digital technologies, data processing rules in the public sector should be stricter and more transparent than in the private sector. The scientific novelty of the research is determined by insufficient regulation of data processing in public administration, where the constitutional function of enforcement and protection of fundamental human rights is not sufficiently regulated. Based on the results of the study, recommendations are to use the findings in the formation of an appropriate state policy to enforce fundamental human rights in data processing in the Russian public administration
Abstract
Enforcing fundamental human rights is a constitutional obligation of the Russian Federation. In the digital age, the risks of human rights violations are increasing, making [...]
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DEVELOPMENT TOOLS FOR THE FAR EAST AND THE ARCTIC OF RUSSIA
V. Klimanov, M. Kazakova

RUSSIAN PRESIDENTIAL ACADEMY OF NATIONAL ECONOMY AND PUBLIC ADMINISTRATION (2022). 175

Abstract
Studying the development problems of the Arctic and the Far East has always been relevant due to the specific nature of these territories. At the same time, the existing support tools do not always consider this specificity, which is why the effects of their use are minimal. In this regard, the purpose of this study is to develop recommendations for improving the social and economic development policy tools for the Far Eastern and Arctic regions. This goal will be addressed within the framework of solving the following tasks: systematization of existing development tools, assessment of the economic and social effects of the measures applied, producing recommendations for the development or exclusion of existing tools. The study was conducted using the methods of content analysis, retrospective analysis, and classification. The sources of information included regulatory documents and strategic planning documents, scientific publications, analytical data, and official statistics. As a result, a list of measures for the development of the regions of the Far East and the Arctic was produced, and areas that required improvement were identified. The key findings are as follows. Most of the development tools are focused on stimulating economic growth and increasing investment appeal, rather than improving the demographic situation. The measures taken fail to translate into the expected economic and social effects. The number of specific and individual instruments for stimulating the socio-economic development of the Far East and the Arctic is insignificant. Some of the instruments duplicate each other, which entails uncertainty when considering opportunities for capital investments, disorienting potential investors. As recommendations, it is proposed to review the list of instruments towards greater social support, development of individual mechanisms, and unification of territorial development instruments with overlapping scopes.
Abstract
Studying the development problems of the Arctic and the Far East has always been relevant due to the specific nature of these territories. At the same time, the existing support [...]
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EVALUATING STATE REGULATORY ENFORCEMENT ACTIVITY FROM CITIZEN PERSPECTIVE: BRIEF SOCIOLOGICAL SURVEY RESULTS
V. Yuzhakov, A. Pokida, E. Dobrolyubova, N. Zybunovskaya

RUSSIAN PRESIDENTIAL ACADEMY OF NATIONAL ECONOMY AND PUBLIC ADMINISTRATION (2022). 176

Abstract
Enhancing state regulatory enforcement activity aimed at minimizing risks to the public values (such as health, property, personal data, environment, and cultural heritage) is one of the key priorities of the current governance agenda in Russia. Therefore, monitoring studies intended to identify public perception of the efficiency and effectiveness of regulatory enforcement activities are highly relevant. The objective of this paper is to evaluate the dynamics of the public perceptions of the regulatory authorities’ performance in 2018 – 2011. The subject of the study is regulatory enforcement activities aimed at reducing risks to the public values. The method of the study is a representative sociological survey of the public conducted in 2021. The findings of the survey are then compared to those obtained from previous rounds of the research carried out in 2018, 2019, and 2020. The results presented in the paper contain an analysis of the dynamics in public perception of the effectiveness and efficiency of the state regulatory authorities. The paper concludes that while there are some positive trends in the public perception of the safety of public values from most of the controlled risks, the overall perception of safety levels is unsatisfactory. Most respondents find that the safety of public values is insufficient. Notably, the trends in public perception vary depending on the risk type. The greatest progress is noted in ensuring safety from environmental risks and the risks associated with healthcare services. On the contrary, the public perception of personal data protection is trending downwards. Public perceptions of the regulatory authorities’ performance in processing public complaints have not changed significantly. The novelty of the study is related to the collection and generalization of empirical data on the public assessment of effectiveness and efficiency of the state regulatory authorities based on the annual sociological surveys conducted since 2018. The paper highlights the need for further improvements in state regulatory enforcement activities. In particular, the study recommends streamlining the procedures for handling citizen complaints to state regulatory enforcement bodies and taking additional measures to ensure the protection of personal data and privacy
Abstract
Enhancing state regulatory enforcement activity aimed at minimizing risks to the public values (such as health, property, personal data, environment, and cultural heritage) [...]
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"Moments of mocking cynicism": gaining dignity through the humiliation of the humiliating
G. Zelenina

RUSSIAN PRESIDENTIAL ACADEMY OF NATIONAL ECONOMY AND PUBLIC ADMINISTRATION (2022). 177

Abstract
An article about bringing to justice the comic in the narratives of the Jewish national movement or the movement of refuseniks, in the late USSR, about the consequences both on late oral and written sensations, and on synchronous movements of letters to the authorities and foreign samples. Comic episodes and ironic passages lead to frequent exacerbation and suppression of Jewish activists with power exclusive to both mass and indirect goals, and are seen as "weapons of the weak" in the minority's symbolic resistance to his regime
Abstract
An article about bringing to justice the comic in the narratives of the Jewish national movement or the movement of refuseniks, in the late USSR, about the consequences both [...]
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ADAPTATION OF THE SOCIAL PROTECTION SYSTEM TO CRISIS CONDITIONS: EXPERT VIEWS
E. (Kovalenko), E. Grishina

RUSSIAN PRESIDENTIAL ACADEMY OF NATIONAL ECONOMY AND PUBLIC ADMINISTRATION (2022). 178

Abstract
The coronavirus pandemic has led to drastic economic and social disruption, increasing the need for social support and social services. The purpose of this study is to trace changes in the system of social protection and social services induced by the COVID-19 pandemic, and identify the related challenges faced by Russian regions. The objectives of this study include building a survey toolkit, conducting expert interviews with representatives of regional ministries responsible for social protection of the population and analyzing the data obtained. The methods used include expert interviews, analysis, comparison and generalization. The study explores the difficulties in organizing assistance to the population during the COVID-19 pandemic, analyzes the decisions made and the potential for making social assistance more effective, which underscores the importance of the study. The object of the research is the system of social protection of the population at the level of the constituent entities of the Russian Federation. The subject of the study is the social security system’s experience during the coronavirus pandemic. The results of the study show that the pandemic has necessitated quick decision-making and completely new approaches, and exacerbated problems such as poor interagency coordination, low salaries of specialists, underdevelopment of digital technologies and people’s insufficient readiness to use remote access technologies. Nevertheless, the period of the pandemic has pushed the social protection system to develop in several aspects. First of all, this concerned the development of digital technologies for administrative purposes as well as for informing the population and providing services, and efforts to meet the needs of the population and reduce bureaucratic barriers in providing social support and social services. Еxploring opportunities for using digital technologies to improve the availability and quality of social support and social services is very important and may be considered as a subject for further research.
Abstract
The coronavirus pandemic has led to drastic economic and social disruption, increasing the need for social support and social services. The purpose of this study is to trace [...]
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The trends in the non-resource development of the Russian regions during the last 20 years
S. Zemtsov, A. Mikhaylova, R. Semyonova, M. Goryachko

RUSSIAN PRESIDENTIAL ACADEMY OF NATIONAL ECONOMY AND PUBLIC ADMINISTRATION (2022). 179

Abstract
There is a lack of complex regional analysis studies in the economic research landscape. The relevance of this study has to do with the Russian government’s high interest in identifying the main trends and factors of non-commodity-based development in the 21st century. Obviously, a significant part of Russia’s national wealth is associated with the extractive sector, which limits the scope for economic diversification and can negatively affect Russia's long-term development. The novelty of this research is that it provides complex regional analysis over the past 20 years. The practical significance of the work lies in the possibility of using its findings to prepare policy recommendations, and to assess the impact of the decisions implemented. The aim of the research was to identify long-term trends and patterns of socioeconomic development in the Russian regions. The objectives were to observe the dynamics of a set of socioeconomic development indicators in various regions and identify spatial patterns of non-commodity growth. The work uses such scientific research methods as statistical analysis and graph-analytical methods, comparative-historical and cartographic methods. During the work, the following results were obtained: the overall growth dynamics of non-resource sectors of the Russian economy in the past 20 years has been determined by changes in the macroeconomic, geopolitical and institutional conditions; the global economic crisis of 2008, the introduction of anti-Russia sanctions and the import substitution policy in 2014-2015 have had the greatest impact on structural changes in the economy; gross regional product and GRP excluding extractive industries doubled or more in the period between 1998-2008 in most regions; after 2008, however, growth rates were close to zero in many regions, which caused a growing lag behind developed economies; in recent years, the share of investment in GRP and R&D spending have dropped to low values as in the early 2000s in most regions; internet access, and average years of schooling have been growing almost continuously in most regions; the air emissions to GRP ratio has been decreasing with the growing share of the service sector and the development of technologies, but has slightly increased in recent years due to motorization. Conclusions. Over the past 20 years, the regions with the largest conurbations that have lost many industrial features but have formed a service consumer economy have undergone the most significant transformation. The oil-producing regions in northern Russia, while showing significant per capita GRP, have not been able to fully diversify their economies and are dependent on fluctuations in energy prices. Many agricultural regions have benefited from the implementation of counter-sanctions, as the government supported large agricultural holdings. Certain regions have vigorously attracted investment through proactive policies: the Kaluga, Belgorod, Leningrad, and Tomsk regions. Most of the Far Eastern regions have been losing population and economic potential. As part of a long-term study, further research may include the identification of factors of non-resource development, its complex estimation with the use of indexes, estimation of the impact of the extractive industries on regional economic growth, as well as assessing the regions’ potential to improve the quality of education for technological development. This paper is based on research findings delivered in accordance with the State Assignment for RANEPA in 2021
Abstract
There is a lack of complex regional analysis studies in the economic research landscape. The relevance of this study has to do with the Russian government’s high interest [...]
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EVALUATING QUALITY OF GOVERNMENT REGULATORY ENFORCEMENT AND INSPECTION ACTIVITY FROM THE VIEWPOINT OF PRIVAT BUSINESS: KEY TRENDS
V. Yuzhakov, E. Dobrolyubova, A. Pokida, N. Zybunovskaya

RUSSIAN PRESIDENTIAL ACADEMY OF NATIONAL ECONOMY AND PUBLIC ADMINISTRATION (2022). 180

Abstract
Enhancing the government’s regulatory enforcement and oversight performance has been considered among critical measures aimed at improving the business environment in Russia; this makes the study relevant for the current governance agenda. The objective of this paper is to evaluate the dynamics of private businesses’ perceptions regarding the justified nature, efficacy, and efficiency of state oversight measures in 2017 – 2021. The subject of the study is the quality of state regulatory enforcement and oversight, including its rationality, efficacy, and efficiency. The key method used in this study is a representative sociological survey of private business entities conducted in 2021. The findings were then compared with those from similar surveys carried out in 2017 and 2020. The results presented in this paper include the analysis of businesses’ perceptions regarding all quality parameters of state regulatory and oversight interference (how justified, effective, and efficient it is). The study concludes that so far, the state regulatory system reform in Russia has not resulted in its performance being more effective (i.e., carrying lower risk of damage to the public values) or more justified. Notably, administrative costs borne by businesses due to state inspections have decreased due to a lower average cost per inspection as well as a reduction in the total number of inspections because of the anti-pandemic precautions, which included a moratorium on planned inspections of businesses. The novelty of the study has to do with the collection and analysis of new empirical data on how businesses assess the quality of the state’s regulatory enforcement and oversight activities. The recommendations based on the findings suggest the need for further improvement of both regulatory enforcement and state regulation proper. Both regulation and regulatory enforcement activities should focus more on minimizing the risks of damage to public values and on strengthening the positive impact of state oversight on supporting and improving the safety of business processes and production
Abstract
Enhancing the government’s regulatory enforcement and oversight performance has been considered among critical measures aimed at improving the business environment in [...]
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RUSSIAN PRESIDENTIAL ACADEMY FOR NATIONAL ECONOMY AND PUBLIC ADMINISTRATION
N. Korol, A. Kurdin, A. Morosanova

RUSSIAN PRESIDENTIAL ACADEMY OF NATIONAL ECONOMY AND PUBLIC ADMINISTRATION (2022). 181

Abstract
Digital transformation of industries and markets remains a key challenge for the modern competition policy. Digital ecosystems are playing increasingly important roles in the structure of the economy. That is why their regulation is becoming an especially relevant problem for antitrust regulators. The goal of this preprint is to identify key specific factors of competition restraints on markets for goods and services in the spheres of digital ecosystems functioning. The authors of the research aggregate and compare main concepts and models of digital ecosystems with a focus on procompetitive and anticompetitive factors of their activities. The authors also summarize main issues raised in the process of market behavior qualification and market structure assessment for artificial intelligence (AI) intensive companies (ecosystem leaders). These issues include enhanced market concentration, risks of price discrimination and algorithmic collusion. The main research method in this regard is the legal and economic analysis, which is based on the economic assessment of Russian and foreign legal documents. The specific challenge in that sphere is the dependence of AI efficiency on big-data-based machine learning. This feature causes an increase in market concentration, strengthens the positions of market leaders, and potentially weakens the competitive environment. The results of the research include the systematization of digital ecosystem concepts, the detection of main factors for their modeling and the identification of presumptions and consequences of the modernization of antitrust regulation. Antitrust bodies are recommended to improve their own digital competencies and analytical capabilities to prevent the loss of control over the market, as well as the elimination of AI benefits.
Abstract
Digital transformation of industries and markets remains a key challenge for the modern competition policy. Digital ecosystems are playing increasingly important roles in [...]
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Collective dominance and oligopoly markets: industrial organization theory approaches
A. Morozov, K. Ionkina

RUSSIAN PRESIDENTIAL ACADEMY OF NATIONAL ECONOMY AND PUBLIC ADMINISTRATION (2022). 182

Abstract
This paper studies the prerequisites for the emergence of a firm’s market power using basic models of oligopoly. The significance of the study is related to identifying theoretical prerequisites that are essential for modifying the collective dominance institution, which can be considered a legal analogue of the economic concept of oligopoly. The objective of the paper is to identify the elements associated with the emergence of market power under the oligopoly model, allowing to shape theoretical basis for the collective dominance concept application. Multiple objectives have to be met before the said objective can be achieved: 1) highlighting the relevant signs of interaction between oligopolistic firms; 2) identifying limitations for the application of collective dominance concept in practice. The scientific novelty of the research lies in the formation of theoretical basis for the legal concept of collective dominance in Russia. The subject of the paper is the relationship between the concept of collective dominance in Russia and the basic oligopoly models. The study is part of a complex project which represents a RANEPA state research assignment and aims at exploring the effects of the collective dominance concept application in Russia. The study is based on industrial organization methods. The main findings of the study consist of the following: highlighting the aspects associated with market power emergence in oligopoly models (small number of participants, high entry costs, significant goods differentiation, high switching costs, full information for competitors and low availability of information for consumers); reflecting the prerequisites for the market power emergence under oligopoly in the Russian version of the collective dominance concept; stating the importance of a comprehensive application of the prerequisites under consideration through the analysis of oligopoly models. The conclusions of the research will used to design the roadmap for further reforms of the Russian collective dominance concept
Abstract
This paper studies the prerequisites for the emergence of a firm’s market power using basic models of oligopoly. The significance of the study is related to identifying [...]
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Specificity of Professional Support Russian Teachers in Work with Vulnerable Children
I. Popova

RUSSIAN PRESIDENTIAL ACADEMY OF NATIONAL ECONOMY AND PUBLIC ADMINISTRATION (2022). 183

Abstract
The relevance of the study is the need to prepare the Russian teachers to work with children in difficult life situations. This task is put forward by the Russian government’s policy in the field of education. The subject of the study is the specifics of providing professional support to teachers working with vulnerable children in the vulnerable categories. The objective of the paper is to study the problems of Russian teachers in working with vulnerable children and to analyze the specifics of the professional support provided to them. The study was based on the results of an online survey of teachers and the information content of the official websites of regional executive authorities in the field of education, additional professional education institutions and Children's Rights Commissioners in various regions of the Russian Federation. We analyzed thesis research on developing the readiness of Russian teachers to work with children in difficult life situations in 2001-2021. Research methods: analysis of information sources, online survey, and content analysis of Internet resources, systematization, analysis, and generalization of the results obtained. The scientific novelty of the study is based on the assessment of the current state of the professional support system for Russian teachers helping vulnerable children based on the materials of information, methodological and educational resources of 85 regions of the Russian Federation. This is the first time such a study is conducted in the Russian Federation. As a result, it was found that teachers working with vulnerable children and their families experience professional difficulties and shortage of legal knowledge (40%) and lack mastery of psychological and pedagogical tools (over 70%). Only one third of regional organizations in the field of additional professional education provide scientific and methodological support to teachers to address existing problems in working with vulnerable children. Information and methodological materials that provide professional support for teachers do not fully cover all categories of children in difficult life situations. Based on the information received, the main conclusion is that the system of professional support for teachers working with children of vulnerable categories needs to be purposefully designed taking into account the current situation. Recommendations: proper implementation of professional support for teachers requires ensuring the continuity of this process, including on an interdepartmental basis, stimulating the research in this direction, improving educational, information and methodological resources, and promoting a wider use of the best practices
Abstract
The relevance of the study is the need to prepare the Russian teachers to work with children in difficult life situations. This task is put forward by the Russian government’s [...]
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Factors of regional development: theory, empirics, role of entrepreneurship
V. Akimova, S. Zemtsov, A. Mikhaylov, R. Semyonova

RUSSIAN PRESIDENTIAL ACADEMY OF NATIONAL ECONOMY AND PUBLIC ADMINISTRATION (2022). 184

Abstract
Economic activity is distributed unevenly, following human resettlement, so that high-concentration zones (large cities urban agglomerations) are combined with uninhabited lands. The relevance of the work is due to the close attention of the scientific community and governments to regional development. Scientific novelty is associated with the generalization of the factors of regional development. The objective of the work was to analyze the key theoretical approaches and empirical studies of the regional development factors. The text describes the main models of regional growth, analyzes the role of basic determinants, with a separate chapter devoted to entrepreneurial capital. In the course of the work, the following findings andconclusions were obtained: studies of regional development are widely covered in the literature, with several dozen regional development theories currently distinguished; each theory characterizes various aspects of this process. The determinants of regional development can be subdivided into factors of the first nature (those of natural origin) and the second nature (those of anthropogenic origin). The prospects and further areas of the study include an econometric assessment of the regional development factors in Russia (such as human capital, institutional conditions, technological development, etc.) and identification of new factors (embeddedness of entrepreneurship, influence of digital technologies, etc.). The paper is based on the materials of research work carried out in accordance with the RANEPA State Assignment for 2021.
Abstract
Economic activity is distributed unevenly, following human resettlement, so that high-concentration zones (large cities urban agglomerations) are combined with uninhabited [...]
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On the mechanism of indexation of pensions in the system of compulsory pension insurance
. Yu.M.Gorlin, V. Fedorov

RUSSIAN PRESIDENTIAL ACADEMY OF NATIONAL ECONOMY AND PUBLIC ADMINISTRATION (2022). 163

Abstract
Problems related to the mechanism of pension indexation in the framework of compulsory pension insurance are discussed in this paper. The analysis has allowed to identify major defects of this mechanism in accordance with current legislation [1], in particular: the procedure for determining the size of indexation and other key parameters of the insurance pension system is not transparent for its stakeholders (pensioners, employees and employers), the pension system is financially dependent on budget transfers and is not robust to external shocks. An indexation procedure has been proposed and this procedure is organically linked to the basic principles of the compulsory pension insurance system and a systematic approach to its planning. Such an approach ensures transparency and unambiguity of indexation procedures for pensions and other parameters related to the pension system. The developed procedure should ensure, in particular, a uniform and sustainable pensions growth in the long run in accordance with the target values, subject to the implementation of an appropriate set of measures to improve the insurance pension system.
Abstract
Problems related to the mechanism of pension indexation in the framework of compulsory pension insurance are discussed in this paper. The analysis has allowed to identify [...]
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Women - labor migrants in Russia: Russian women and natives of other countries
M. N.V., F. Yu.F

RUSSIAN PRESIDENTIAL ACADEMY OF NATIONAL ECONOMY AND PUBLIC ADMINISTRATION (2022). 164

Abstract
Work is assigned by the foreign labor inspectorate in Russia and the labor inspectorate of Russian women inside Russia. There are cases of detection of cases of freelance and external labor activity among women, analysis of the age group of women among those identified among able-bodied men. For foreign checks - women, the ranking of the main countries - donors of labor registration in Russia was carried out; for the internal labor sample of selected regions, the leaders in terms of employment of labor captures are women, the main regions are donors of the female labor sample. The data on the internal working population also require an assessment of the sectoral employment of women - the coverage of the population by the coverage of the population and by male migrants and the identification of some socio-demographic characteristics of this population group. For the analysis, data from Rosstat and the Ministry of Internal Affairs of Russia were used. The number of identified cases of detection of labor diseases is estimated at about one million people, the identified cases of detection of labor organs - women - are less than 300 thousand annually. Women - foreign migrants - are older than labor migrants - men, in contrast to foreign labor migrants, where women, on the contrary, are younger than men. The main countries are donors of women's labor in the CIS countries, while the share of women in the flows from those distributed throughout the country in the countries of Central Asia (Uzbekistan and Tajikistan) does not exceed 12-13%. The main sources of internal labor protection for women are such regions as the Republic of Kalmykia (the undisputed leader for a special purpose), the Republic of Mari El, Mordovia, Chuvashia, Kabardino-Balkaria, hereinafter referred to as the regions of Central Russia. Women labor migrants who practically do not leave the regions of the Far East and the North, as well as from Moscow and St. Petersburg. Women food labor migrants work in all regions of Russia, with a noticeably greater inclination towards agglomeration than male food labor migrants.
Abstract
Work is assigned by the foreign labor inspectorate in Russia and the labor inspectorate of Russian women inside Russia. There are cases of detection of cases of freelance [...]
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METHODOLOGICAL BASIS FOR THE INTRODUCTION OF DISTANCE LEARNING IN THE EDUCATIONAL PROCESS OF A GENERAL EDUCATIONAL SCHOOL
N. Tarasova, I. Pastukhova, S. Chigrina

RUSSIAN PRESIDENTIAL ACADEMY OF NATIONAL ECONOMY AND PUBLIC ADMINISTRATION (2022). 165

Abstract
Relevance. The digitalization of the life of society, forced by the COVID-19 pandemic, determined a number of new processes and phenomena in the economic and social spheres. In the context of a lockdown, an educational institution had to promptly respond to challenges such as maintaining stability and accessibility of education for all categories of students. Research object: the process of introducing distance learning into the general education system. Subject: methodological foundations affecting the quality of educational results of students of a general education school in the context of the transfer of the educational process to a distance mode. Purpose: to determine the methodological grounds for the introduction of distance learning into the educational process of a general education school. Tasks: to analyze the foreign and domestic experience of transferring the educational process to a remote mode in the context of the coronavirus (COVID-19) pandemic; to conduct a study to identify methodological foundations that affect the quality of educational results of students of a general education school in the context of the transfer of the educational process to a distance mode. Methods: methodological approaches: axiological, competence, system-activity; research methods: theoretical (analysis, generalization, systematization). Results: the main foreign and domestic scientific concepts, theories, and methods of distance (blended) learning are identified, which serve as prerequisites for the digital transformation of the educational process in the general education system. Conclusions: the digitalization of all levels of education is natural, a feature of the digitalization of education is the reciprocity of the transformation of the educational process, adapting to modern conditions, and digital technologies, and the means introduced into the learning process for the most complete and comfortable solution of the assigned pedagogical tasks. Recommendations: to continue research to study the essence of the phenomenon of digital transformation, the types and structure of the processes of its implementation in the general education system, which currently remain insufficiently studied
Abstract
Relevance. The digitalization of the life of society, forced by the COVID-19 pandemic, determined a number of new processes and phenomena in the economic and social spheres. [...]
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USING CLIENT-CENTRIC PERFORMANCE INDICATORS IN PUBLIC ADMINISTRATION: INTERNATIONAL EXPERIENCE
E. Dobrolyubova, V. Yuzhakov

RUSSIAN PRESIDENTIAL ACADEMY OF NATIONAL ECONOMY AND PUBLIC ADMINISTRATION (2022). 166

Abstract
Client centricity has been defined as one of the core directions for developing Russian strategy for social and economic development. Therefore, reviewing international practice of measuring client centricity in public administration is an urgent and relevant task. The objective of the study is to review international practice of using client-centric performance indicators in public administration and identifying the key trends of such practice which could be used for improving client orientation in the Russian public administration. The subject of the review includes performance indicators used for measuring and evaluating client-centric public administration by international organizations and foreign governments. The paper applies generic analytical scientific methods such as case study, content analysis, and comparative analysis. The study is based on review of international and Russian literature as well as official documents issued by public authorities. The study results include a review of international practice of evaluating client centricity in public service delivery as well as in performing regulatory and enforcement functions. The paper also reviews the impact of digital transformation of public administration on improving client centricity and analysis the existing approaches to forming composite indicators for measuring client centricity. The study concludes that there is significant international practice of using performance indicators reflecting government client centricity and representing the interests of citizens and businesses in public administration performance outcomes, i.e. improving accessibility and quality of public services, ensuring integrity-based and non-discriminatory approach to public service delivery, extending the opportunities for public participation in developing, monitoring, and evaluating public policies, and ensuring adequate protection of public values from risks. Citizen satisfaction with public service delivery (especially in areas such as health and education services) is among the most used performance indicator. Noteworthy, this indicator is not limited to measuring satisfaction with service delivery procedures. On the contrary, citizen satisfaction with quality of public services rendered is considered, too. Government digital transformation allows for integrating client centricity indicators in the processes of managing public service delivery and execution of other types of government functions. The key methods used for data collection include sociological surveys (of citizens, businesses, public servants), various feedback forms used in the process of public service delivery, and expert-based specialized assessments. The novelty of the paper is the broad approach to understanding client centricity as a means to acknowledge, ensure, and protect human rights and freedoms. The study demonstrates that achieving client centricity in public administration calls for introducing the practice of evaluating public administration performance from a citizen viewpoint. To undertake such evaluation, the paper recommends using a composite index measuring governance performance from the citizen viewpoint. Such index may be estimated based on the results of sociological surveys.
Abstract
Client centricity has been defined as one of the core directions for developing Russian strategy for social and economic development. Therefore, reviewing international practice [...]
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MEDIUM TERM AGENDA OF GOVERNMENT DIGITALIZATION IN RUSSIA: REVIEW OF PERFORMANCE INDICATORS IN MINISTERIAL DIGITAL TRANSFORMATION PROGRAMS
E. Dobrolyubova, I. Shemonchuk

RUSSIAN PRESIDENTIAL ACADEMY OF NATIONAL ECONOMY AND PUBLIC ADMINISTRATION (2022). 167

Abstract
Digital transformation is one of the national development objectives for Russia up to 2030. Its key implementation instruments at the federal level are ministerial digital transformation programs. The performance objectives of these programs developed in late 2020 establish a medium-term digital transformation agenda. Therefore, it is highly urgent and relevant to analyze such programs. Thegoal of this paper is to evaluate the potential impact of ministerial digital transformation programs on improving the quality of public services and regulatory enforcement functions. The subject of the report includes 43 ministerial digital transformation programs for 2021 – 2023 published as of March 1, 2021. The paper uses qualitative and quantitative analytical methods, including performance management methodology assuming differentiation of impacts, intermediate outcomes, and outputs. The novelty of the study is related both to the novelty of ministerial digital transformation programs, which have not been the subject of scientific analysis to date, and application of a methodology for evaluating benefits from government digital transformation for external beneficiaries (i.e., citizens and businesses). The results include a review of ministerial digital transformation programs and the assessment of their potential impact on improving the quality of public service delivery and effectiveness of state regulatory enforcement. The paper analyses the expected outcomes of digital transformation of 322 federal public services and 82 regulatory enforcement functions. Conclusions. The study demonstrates that while the targets on broadening digital interaction with citizens and businesses are ambitious both in public service delivery and in regulatory enforcement and control domain, the impact of government digital transformation on citizens, businesses, and public administration itself is either underestimated or neglected. Digital transformation of federal executive authorities is deemed to be a goal in itself, not a means for improving the governance quality. The indicators used to measure the digitalization of public services and functions do not account for digital transformation risks, including possible extra administrative costs for businesses, associated with remote regulatory control. The recommendations developed based on the study findings suggest the need to correct the existing approaches to developing digital transformation performance indicators at the ministerial level and implementing the practice of cost-benefit analysis of digital initiatives in the public sector.
Abstract
Digital transformation is one of the national development objectives for Russia up to 2030. Its key implementation instruments at the federal level are ministerial digital [...]
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Epidemics of the Ancient World and Religions of Salvation
I. Mikhel, D. Mikhel, A. Smolkin

RUSSIAN PRESIDENTIAL ACADEMY OF NATIONAL ECONOMY AND PUBLIC ADMINISTRATION (2022). 168

Abstract
The aim of the study is to analyze the history of epidemics in the ancient world and comprehend their consequences relating to the emergence of salvation religions. The relevance of the study is due to the need to comprehend the historical experience of managing social processes in complex epidemiological situations and developing the response of Russian society to the new great challenges associated with the spread of epidemics of dangerous diseases. The novelty of the study lies in the originality of the hypothesis, according to which several social institutions and related forms of social consciousness appear in the conditions of challenge to society from epidemics and symbolize a form of social response to these challenges. The study was conducted using written historical sources, primarily the works of ancient pagan and Christian historians, as well as the latest scientific research on the history of epidemics in the ancient world, carried out by modern historians. During the study, the following methods of historical knowledge were used: problem-chronological, historical-genetic, historical-typological, historical-comparative, historical-systematic. The theoretical basis of the study is the methodology of global history. The conclusions of the study are as follows. Epidemics have always been a challenge for any society, forcing it to seek an appropriate form of response. A distinctive feature of the epidemics of the ancient world was that they not only inflicted enormous damage on existing social systems and political institutions, but also gave birth to new forms of religiosity. The epidemic of the “Athenian plague” of the fifth century BC contributed to the decline of the Athenian maritime empire, bringing to life a new religious cult - the cult of Asclepius, the god of healing, which had become the salvation religion of the Greeks before the arrival of Christianity. The “Antonine Plague” and the “Cyprian Plague” (2nd–3rd centuries) caused a crisis in the Roman Empire, contributing to the spread of Christianity in the Mediterranean. The “Justinian plague” (6th–8th centuries) contributed to the undermining of the power of the Byzantine Empire and the collapse of the Persian Empire, the disappearance of Christianity and the spread of Islam in the Middle East.
Abstract
The aim of the study is to analyze the history of epidemics in the ancient world and comprehend their consequences relating to the emergence of salvation religions. The relevance [...]
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Comparative mechanical assessment of the common structural joining techniques implemented in the marine industries
F. Portugal), R. Pereira, D. Cardoso, R. Carbas, A. Barbosa, L. Silva

This presentation was made at 4th International Conference on Materials Design and Applications on 7-8 July 2022.

Abstract
The main objective of FIBRE4YARDS project is to maintain European global leadership in ship building and ship maintenance, through implementation of the Shipyard 4.0 concept in which advanced and innovative FRP manufacturing technologies are successfully introduced. This project has received funding from European Union's Horizon 2020 research and innovation programme under grant agreement n°101006860.
Abstract
The main objective of FIBRE4YARDS project is to maintain European global leadership in ship building and ship maintenance, through implementation of the Shipyard 4.0 concept [...]
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Parametric optimization of ultrasonic welding on thermoplastic fibre-reinforced composites by the implementation of statistical analysis of variance method (ANOVA)
F. Portugal), R. Pereira, D. Cardoso, A. Barbosa, L. Silva

This poster was presented at 4th International Conference on Materials Design and Applications on 7-8 July 2022.

Abstract
The main objective of FIBRE4YARDS project is to maintain European global leadership in ship building and ship maintenance, through implementation of the Shipyard 4.0 concept in which advanced and innovative FRP manufacturing technologies are successfully introduced. This project has received funding from European Union's Horizon 2020 research and innovation programme under grant agreement n°101006860.
Abstract
The main objective of FIBRE4YARDS project is to maintain European global leadership in ship building and ship maintenance, through implementation of the Shipyard 4.0 concept [...]
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Modular construction design of a composite catamaran based on FIBRE4YARDS technologies
P. Guijarro

This presentation was made at the E-LASS event on 13-15 September 2022.

Abstract
The main objective of FIBRE4YARDS project is to maintain European global leadership in ship building and ship maintenance, through implementation of the Shipyard 4.0 concept in which advanced and innovative FRP manufacturing technologies are successfully introduced. This project has received funding from European Union's Horizon 2020 research and innovation programme under grant agreement n°101006860.
Abstract
The main objective of FIBRE4YARDS project is to maintain European global leadership in ship building and ship maintenance, through implementation of the Shipyard 4.0 concept [...]
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FIBREGY & FIBRE4YARDS 2nd INFORMATION DAY
D. Sá

FIBRE4YARDS OA (2022). Vol. Presentations, 7
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Diseño de construcción modular de un catamarán de materiales compuestos basado en las tecnologías FIBRE4YARDS
P. Guijarro

The presentation was made at the 61° Congreso de Ingenieria Naval e Industria Maritima on 26-28 October 2022.
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Computational use of an Artificial Bee Colony approach for Model Predictive Control
J. Sa, A. Goldar

This presentation was made at the 41st Benelux Meeting on Systems and Control on 5-7 July 2022.

Abstract
The main objective of FIBRE4YARDS project is to maintain European global leadership in ship building and ship maintenance, through implementation of the Shipyard 4.0 concept in which advanced and innovative FRP manufacturing technologies are successfully introduced. This project has received funding from European Union's Horizon 2020 research and innovation programme under grant agreement n°101006860.
Abstract
The main objective of FIBRE4YARDS project is to maintain European global leadership in ship building and ship maintenance, through implementation of the Shipyard 4.0 concept [...]
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3D FE Modeling of Multi-Span Stone Masonry Arch Bridges for the Assessment of Load Carrying Capacity: The Case of Justinian’s Bridge September 2021
V. Menteşe

Abstract
Substantial part of heritage structures in Turkey is historic masonry arch bridges. To explore modeling issues, a numerical work has been initiated to better understand and preserve/transfer this heritage to the next eras. This paper specifically describes the influence of tensile fracture energy of stone material in determining their true load carrying capacities. A case study is presented to explain the modeling issues. With its historical background, current situation, geometric and material properties, this work focuses on numerical investigation of the historic multi-span stone masonry arch Justinian’s (or Sangarius) Bridge located in the city of Sakarya in Turkey over the Sakarya River. Numerical results show that the value of fracture energy in tension significantly affect the load carrying capacity and failure mechanism of multi-span masonry arch bridges. A more realistic nonlinear response has been obtained for an upper value of the tensile fracture energy of the stone masonry. The bridge model collapses by a-three-hinge mechanism occuring at the loaded arch in the upper value of the tensile fracture energy. The most critical loading point of the bridge is determined as the quarter-span.
Abstract
Substantial part of heritage structures in Turkey is historic masonry arch bridges. To explore modeling issues, a numerical work has been initiated to better understand and [...]
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Motivation and work performance in the nursing staff of a public institution of the Autonomous City of Buenos Aires
S. Bayser

Sal. Cienc. Tec. (2022). Vol. Vol. 2, 78

Abstract
Introduction: Motivation is an internal state that generates behaviors which trigger into actions in a specific direction and for a specific purpose. Objective: To describe the relationship between motivation and work performance in the nursing staff of a public institution in the Autonomous City of Buenos Aires. Methods: An observational, descriptive, cross-sectional, descriptive study was conducted between November 2021 and January 2022 in nursing professionals of a public institution in the Autonomous City of Buenos Aires. The sample consisted of 60 nursing professionals from a public institution selected by non-probabilistic convenience sampling. Two instruments were used: approach to motivation in three dimensions and a competency-based work performance evaluation. Results: The sample was characterized by being mostly females aged between 34 and 53, with a professional nursing degree. The professional performance in the three dimensions was of medium level in more than 96% of the sample studied, and it is noteworthy that there were no people with high performance. The inferential analysis between general motivation and the 3 dimensions of professional performance had a statistically significant positive correlation, so it can be stated that, in the three dimensions, the higher the general motivation, the higher the professional performance. Conclusions: One of the most important findings is the statistically significant positive correlation between motivation and professional performance. That demonstrates the need to work on future research where intervention strategies are evaluated in order to qualitatively characterize and raise both indicators in light of the obtained results.
Abstract
Introduction: Motivation is an internal state that generates behaviors which trigger into actions in a specific direction and for a specific purpose. Objective: To describe [...]
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On-the-job education as an active source of skills in the professional training of the stomatologist
L. Campello-Trujillo, M. Capote-Fernández

Sal. Cienc. Tec. (2022). Vol. Vol. 2, 77

Abstract
Introduction: One form of organization of the teaching-learning process is on-the-job education and it is essential to contribute to the improvement of this process. Objective: To describe the development of skills in on-the-job education as an integrating practice of the contents received. Methods: A descriptive study was carried out with 38 students of the Stomatology career of the Faculty of Medical Sciences "Miguel Enriquez", Havana, in February 2020, to whom a survey was applied. Results: 70.83% of the 5th year students consider that they are able to deploy clinical skills, 35.71% of the 4th year students and 66.66% of the 5th year students think that their teachers fulfill their functions in an appropriate way in this process. Conclusions: Very few 4th year students and more than half of the 5th year students assume to be able to develop skills in the clinic and appreciate that their professors perform their functions satisfactorily.
Abstract
Introduction: One form of organization of the teaching-learning process is on-the-job education and it is essential to contribute to the improvement of this process. Objective: [...]
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Author Guidelines
C. Editorial

Sal. Cienc. Tec. (2022). Vol. Vol. 2, 76

Abstract
Introduction: The improvement of professionals is a gradual process that occurs throughout life and through it significant learning is developed that influences professional, labor and social activity; all of which requires the harmonic linking of preparation and improvement with work. Objective: To analyze the influence of training on the professional performance of nursing professionals in a private institution in the Autonomous City of Buenos Aires. Methods: A descriptive, observational, cross-sectional study was carried out between February and March, with a sample of 25 nursing professionals. Three evaluation instruments were used. Results: 56% of the sample was female, the average age was 43.8±11.7, 68% of the sample had a Bachelor's degree in Nursing, and the average years of training were 10.9±8.0. The results found show that there are high overall training needs. No significant differences were found when comparing job performance dimensions in those who had received training or were currently undergoing training and those who had not or were not. Conclusions: There are high general and specific training needs, with low organizational management towards training motivation and stimulation. On the other hand, no relationship was found between training and professional performance; however, this study leaves open the possibility of developing other types of qualitative studies that analyze this problem in depth.
Abstract
Introduction: The improvement of professionals is a gradual process that occurs throughout life and through it significant learning is developed that influences professional, [...]
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Influence of training on professional performance in nursing professionals of a private institution in the Autonomous City of Buenos Aires
H. Bartoncello

Sal. Cienc. Tec. (2022). Vol. Vol. 2, 75

Abstract
Introduction: The improvement of professionals is a gradual process that occurs throughout life and through it significant learning is developed that influences professional, labor and social activity; all of which requires the harmonic linking of preparation and improvement with work. Objective: To analyze the influence of training on the professional performance of nursing professionals in a private institution in the Autonomous City of Buenos Aires. Methods: A descriptive, observational, cross-sectional study was carried out between February and March, with a sample of 25 nursing professionals. Three evaluation instruments were used. Results: 56% of the sample was female, the average age was 43.8±11.7, 68% of the sample had a Bachelor's degree in Nursing, and the average years of training were 10.9±8.0. The results found show that there are high overall training needs. No significant differences were found when comparing job performance dimensions in those who had received training or were currently undergoing training and those who had not or were not. Conclusions: There are high general and specific training needs, with low organizational management towards training motivation and stimulation. On the other hand, no relationship was found between training and professional performance; however, this study leaves open the possibility of developing other types of qualitative studies that analyze this problem in depth.
Abstract
Introduction: The improvement of professionals is a gradual process that occurs throughout life and through it significant learning is developed that influences professional, [...]
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Protocol for falls in hemato-oncology patients from the vision of Nursing Leadership in the services of the FUNDALEU Foundation
S. Fuentealba, J. Rojas, J. Valverde, R. Suárez, L. Ares

Sal. Cienc. Tec. (2022). Vol. Vol. 2, 74

Abstract
Introduction: The Protocols of protection for hemato-oncological patient care are based on the adequacy of existing and scientifically validated scales.Objective: To describe the advances related to the implementation of protection protocols for the care of hemato-oncological patients from the point of view of Nursing Leadership in the services of the FUNDALEU Foundation.Methods: A non-experimental, observational, descriptive and cross-sectional study was conducted in May 2020.Results: In terms of sociodemographic variables, the sample was represented mostly by women, aged between 38 and 45 years, graduates who have worked for more than 7 years in the service. Regarding the means recorded for different aspects of knowledge of protocols adapted for patients in the institution, it is worth noting that all of them were positive. It was found that for the three items (cytopenia, mental status and sensory deficit) the ANOVA test had statistical significance (p<0.001) between these groups. With the assessment of the fall risk protocol, the corresponding care can be planned and carried out (p < 0.001).Conclusions: there are no difficulties in terms of knowledge about the use of the care protocol for hemato-oncological patients. The nursing attitudes point out as difficulties that the items cytopenia, mental status and sensory deficit are not sufficient, so that sometimes the updates with respect to the fall risk protocol are not up to date.
Abstract
Introduction: The Protocols of protection for hemato-oncological patient care are based on the adequacy of existing and scientifically validated scales.Objective: To describe [...]
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Patient Handoff: relationship between internal communication and the role of teamwork in the services of the Hospital de Clínicas José de San Martín
I. López, J. Rojas, J. Valverde, R. Suárez, L. Ares

Sal. Cienc. Tec. (2022). Vol. Vol. 2, 73

Abstract
Introduction: The on-call pass is one of the means of coordination within each service that is used to schedule, manage and evaluate patient care.Objective: to describe the behavior of variables of the perception of nursing human resources on the quality of internal communication in on-call duty and the modalities of teamwork.Methods: An observational, descriptive, cross-sectional study was carried out. The sample consisted of 71 units of analysis. A semi-structured, self-administered questionnaire was used.Results: In relation to knowledge about internal communication during on-call duty, positive responses prevailed, with the Teamwork indicator standing out with 94.4% of positive responses (P = 0.006). Positive attitudes related to internal communication during the on-call duty shift dominated, with a predominance of strategic vision and complementarity with 99% positivity each (P < 0.001). In relation to practices in the on-call pass; all responses resulted negative above 70% (P<0.001), highlighting Performance evaluation over Internal communication with 90% negativity.Conclusions: Most professionals show knowledge of the dimensions of internal communication by virtue of teamwork. The attitudinal aspect of the nursing human resources showed favorable aspects to the on-call pass in relation to internal communication, taking into account criteria such as strategic vision, teamwork, responsibility, face-to-face transmission and confidentiality.
Abstract
Introduction: The on-call pass is one of the means of coordination within each service that is used to schedule, manage and evaluate patient care.Objective: to describe the [...]
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Impact of a quality management model of an immunization service of the Hospital de Alta Complejidad El Cruce
P. Roussel

Sal. Cienc. Tec. (2022). Vol. Vol. 2, 72

Abstract
Introduction: The horizontal integration of health services can be strengthened through process management that makes it possible to conceive how to work through systems that cross departmental, service and functional boundaries, by showing the internal relationships of users and providers.Objective: To describe the results of the implementation of the quality management model in the vaccination center of the Hospital el Cruce during the period 2015-2016 compared to subsequent periods (2017-2018).Methods: An analytical, non-experimental study was conducted in health systems and services at the Hospital de Alta Complejidad en Red El Cruce, comprising the evaluation of care quality indicators in the period from 2015 to 2018, a longitudinal and retrospective approach.Results: 57.7% (75) were female and 42.3% (55) were male. Using Spearman's test found only in the case of time and quality of care a statistically significant negative correlation. When it was analyzed that the number of doses discarded by years, in the second period (2017-2018) specifically in 2018 no doses were discarded in any of the vaccines, and secondly in 10 vaccines were not discarded in both periods.Conclusions: The results of the evaluation with a focus on improving the quality of care were evidenced. The multidimensional analysis provided relevant information that helped to find the causes that allowed the setting of objectives, possible solutions to the problem, as well as the evaluation of improvements.
Abstract
Introduction: The horizontal integration of health services can be strengthened through process management that makes it possible to conceive how to work through systems that [...]
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Satisfaction with the nurse in primary care: experiences in a primary health care center in La Pampa
M. Giménez

Sal. Cienc. Tec. (2022). Vol. Vol. 2, 71

Abstract
Introduction: Nursing as a health educator is the first to have contact with the patient who enters a service to consult or alleviate any ailment.Objective: to analyze satisfaction in relation to the care received by nursing staff in a primary health care center in the town of Winifreda, department of Conhelo in the province of La Pampa.Methods: An observational, descriptive, cross-sectional, prospective, descriptive study was carried out. A total of 174 patients were included. Three evaluation instruments were used, one for sociodemographic analysis and two for satisfaction analysis.Results: The study sample was 88.51% female and the remaining 11.49% were male. The average age was 39.81. Sixty percent of the sample attended preventive activities, while 20% of the respondents reported following up on care plans. Of the respondents, 82.9% obtained an appointment on the same day. Cronbach's Alpha for the AMABLE Questionnaire was 0.810; and for the Baker Questionnaire 0.826.Conclusions: Most patients perceive the care provided by nursing professionals as adequate, which is closely related to the quality of care, nursing services, participant health, and community care. In the context of primary health care, the people who attended the nursing consultations rated the care they received positively.
Abstract
Introduction: Nursing as a health educator is the first to have contact with the patient who enters a service to consult or alleviate any ailment.Objective: to analyze satisfaction [...]
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The quality of nurse-patient communication: experiences in the context of rurality in the province of Chaco
I. Kancheff

Sal. Cienc. Tec. (2022). Vol. Vol. 2, 70

Abstract
Introduction: The quality of the encounter between the nurse and the patient makes the difference between a humanized practice and an instrumental one; for this reason, an interpersonal relationship, beyond the execution of procedures and techniques, is a great opportunity for growth and maturation for the patient and the nurse herself.Objective: to analyze the communication between the patient and the nurse in the context of rurality in the San Pedro Pescador neighborhood of Chaco province.Methods: Observational, descriptive, retrospective, cross-sectional, retrospective study in the province of Chaco from January to March 2022. The sample consisted of 11 nurses and 72 patients. A questionnaire of sociodemographic and labor data elaborated ad hoc for the study was used; and on the other hand, a nurse-patient communication questionnaire comprising aspects related to the quality of communication in both samples.Results: the female sex prevailed with 81.8% and 55.6% in nurses and patients, respectively. The average age of nurses was 44.6±14.1 and 41.1±15.2 in patients. Significant differences were found in the perceptions of nursing staff and patients regarding the use of medical terminology by nurses and regarding the coverage of nurse-patient communication needs.Conclusions: The perceptions of both groups show a good assessment of the nursing staff which is in accordance with the self-perception of the nursing staff, of communication in a highly effective condition during their care.
Abstract
Introduction: The quality of the encounter between the nurse and the patient makes the difference between a humanized practice and an instrumental one; for this reason, an [...]
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Strategies to raise the standards of quality, standardization, visibility and scientific impact of the Master's Degree in Integrated Management of Nursing Services
J. Gonzalez-Argote, C. Lepez

Sal. Cienc. Tec. (2022). Vol. Vol. 2, 69

Abstract
Introduction: Academic excellence constitutes one of the most important and controversial elements in contemporary higher education; since its determination is closely linked to the processes of administrative management and teaching performance. The objective of a master's degree is to train professionals in specific areas of knowledge who are capable of conducting research with high scientific rigor, as well as to develop their professional practice with a high level of specialization.Objective: To describe the main results of the implementation of a strategy to raise the standards of quality, standardization, visibility and scientific impact of the Master's Degree in Integrated Management of Nursing Services.Results: The main strategies implemented are presented, grouped in three stages. In the first stage, the restructuring of the thesis follow-up was developed with the creation of the Scientific Tutoring section and the standardization of the pre-project, project and thesis models, the decision to follow up the thesis virtually, with traceability and transparency. The second stage included the creation of a thesis evaluation committee, development of a master's thesis repository, thesis director bank, and curricular adjustments. The third stage included the creation of the Scientific Tutoring Microsite and the implementation of the thesis in scientific article format.Conclusions: The implemented strategies developed have allowed to raise to 119 graduates in the last two years, of which 15 are theses in article format, to improve the flows of response and follow-up of theses.
Abstract
Introduction: Academic excellence constitutes one of the most important and controversial elements in contemporary higher education; since its determination is closely linked [...]
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Professional competencies of nursing personnel in maternal and newborn care: a comparative study in the Neonatology and Obstetrics
D. Miranda

Sal. Cienc. Tec. (2022). Vol. Vol. 2, 68

Abstract
Introduction: Competencies are understood as an integrated combination of knowledge skills and attitudes conducive to adequate and timely performance in various contexts of the health team.Objective: to carry out a comparative analysis of the competencies of the nursing staff in the care of the mother and newborn in the Neonatology and Obstetrics services.Methods: An observational, descriptive, retrospective, cross-sectional, retrospective study was carried out. The sample consisted of 65 nurses from a public institution of the Autonomous City of Buenos Aires, of whom 34 belonged to the Neonatology service and 31 to the Obstetrics service.Results: 84.62% were female, the average age was 45.09±9.94, and 63.08% had a degree in Nursing. Higher values were obtained in the obstetrics service in the three dimensions; on the other hand, there were significant differences between the own and crossed competencies in both the Neonatology and Obstetrics services (intra-service competencies); and on the other hand, no differences were found between the values of the own and crossed competencies between services (inter-service competencies). It can be affirmed that the nursing staff of the obstetrics service possesses as a whole higher own and cross competencies than those of the neonatology staff.Conclusions: In this study it was found that the staff of the Obstetrics area possesses overall higher number of competencies in maternal and infant care with respect to that of Neonatology.
Abstract
Introduction: Competencies are understood as an integrated combination of knowledge skills and attitudes conducive to adequate and timely performance in various contexts of [...]
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