Documents published in 2023 : Scipedia

Application of Piezoelectrics to Solar Cells to Optimize Energy Harvesting Abilities via Exposure to Varying Weather Conditions
M. Gupta, W. Wesson, A. Huenger

J. of Dawn. R. (2023). Vol. 5, 2

Abstract
There exists a great demand to utilize renewable energy sources instead of burning fossil fuels. Currently, power conversion efficiency of domestic solar cells is 23.6%, and further improvements are necessary. Furthermore, real-world domestic solar panels show an efficiency of just about 15 percent. Combining piezoelectric strips (harnessing vibrational energy) and solar cells can potentially enhance power generation and efficiency. Solar cells and piezoelectric strips were exposed to simulated sun, rain, and wind, and tilting angles (0o-75o), to determine optimal power output. Solar cells were tested within an enclosed testing chamber with a 100W Halogen bulb as a light source simulating the sun (30.48cm from the cells). Power generation remained constant during the trials with and without piezoelectric strips, producing 10.0 mW and 10.2 mW, respectively. To simulate wind, a fan was utilized at 8.9m/s, 8.0m/s, and 7.2m/s. When assessing wind, 8.9m/s (0o) produced the highest power (0.36mW) in comparison to 7.2m/s (0.3mW). To simulate rain, a peristaltic-pump (10mL/min and 25mL/min) dispersed water droplets onto piezoelectric strips for testing. High water droplet (diameter=1.0 cm) speed produced the highest power in comparison to low speeds, 0.058mW and 0.053mW respectively. Mixed condition testing produced 10.3 mW, an 8.3% increase in comparison to solar alone, showcasing that piezoelectric strips can effectively be implemented in conjunction with solar cells. In order to maximize power output with this combined setup, areas with higher annual rainfall and wind speeds could benefit the most.
Abstract
There exists a great demand to utilize renewable energy sources instead of burning fossil fuels. Currently, power conversion efficiency of domestic solar cells is 23.6%, and [...]
- 0
- read
PEDESTRIAN PERFORMANCE ON MID-BLOCK CROSSINGS USING A ROAD INFORMATION ASSISTANCE SYSTEM IN A VIRTUAL REALITY EXPERIMENT
A. Figueroa-Medina, D. Valdés-Díaz, N. Cardona-Rodríguez, A. Chamorro-Parejo

RIDNAIC (2023). Vol. 23, 7

Abstract
The increase in crash-related pedestrian fatalities, primarily in urban streets, has promoted the development of technological innovations to mitigate this global problem. This article presents the results of an experiment that used virtual reality technology to study the performance of pedestrians at mid-block crossings of urban streets and the impact of a Road Information Assistance System [RIAS]. The RIAS was simulated as a handheld device that displays warning symbols or a combination of symbols and real-time information about the vehicles approaching the crosswalk to assist pedestrians in making the crossing decision. The experiment simulated a connected urban environment that can receive and transmit data from sensors in the infrastructure, vehicles, and pedestrians [via the RIAS]. The study evaluated the walking speeds, the vehicle gaps selected to cross the street, and the number of successful crossing events with no collisions. Three groups of twelve subjects [no RIAS, simple RIAS, and complex RIAS] were selected. The age and gender of the subjects, as well as the RIAS type used to cross the street, had significant effects on the average walking speed. The distributions of the average gap accepted by each of the three groups, based on the RIAS type, were statistically different. The group that used the RIAS device displaying symbols only had the worst performance and the highest average gap accepted when crossing the street.
Abstract
The increase in crash-related pedestrian fatalities, primarily in urban streets, has promoted the development of technological innovations to mitigate this global problem. [...]
- 0
- read
STATE OF PRACTICE IN NATURE-BASED/INSPIRED SOLUTIONS FOR COASTAL EROSION
S. Ortiz Rosa, I. Pagán-Trinidad

RIDNAIC (2023). Vol. 23, 6

Abstract
Nature-based Solutions (NbS) are imperative now, in view of the resulting effects of climate change and man-made alterations in coastal areas. The perspective to address coastal solutions may not be possible to be limited exclusively to ecological solutions. This article, based on a literature review, focuses on hybrid solutions for coastal erosion control. The review highlights examples from around the World that can be applied to islands, having Puerto Rico (PR) as a typical scenario. It presents a summary of how gray infrastructure commonly applied in the past decades can be re-designed and adapted to integrate natural solutions. This article provides significant facts about the merits of structural, ecological, and economical aspects that should be considered on NbS projects. This article helps understand the state of practice and possible solutions that can be implemented, especially, in tropical and sub-tropical regions.
Abstract
Nature-based Solutions (NbS) are imperative now, in view of the resulting effects of climate change and man-made alterations in coastal areas. The perspective to address coastal [...]
- 0
- read
SEISMIC SOIL PRESSURES ON EMBEDDED WALLS WITH VARYING STIFFNESS AND CONTACT CONDITIONS
A. Cruz-Chamorro, A. Vidot-Vega

RIDNAIC (2023). Vol. 23, 5

Abstract
This article evaluates how the seismic pressures developed in embedded walls are affected by different wall stiffness and various contact soil-wall conditions. Several two-dimensional numerical models of an embedded wall-soil system were developed in Abaqus® by varying the wall stiffness. One model considered the wall as very rigid with a large modulus of elasticity and the other one considered the wall as flexible with original modulus of elasticity. Wall heights of 10, 20 and 30 meters were considered on the models to obtain different wall stiffness. The contact between the soil and the wall is modified by changing the friction coefficient between 0 to 0.75. The response of the soil is validated using 1D nonlinear site response analyses. The analyses are performed using records that match a narrow-band modified target spectrum for a moment magnitude of 7.70. The results show that the rigid walls developed larger seismic pressures than the flexible walls when subjected to the same earthquake records. The seismic soil pressures in the rigid walls do not change considerably by varying the contact condition between the soil and wall. Changes in the friction coefficient have a major impact on the seismic pressure distributions on flexible walls.
Abstract
This article evaluates how the seismic pressures developed in embedded walls are affected by different wall stiffness and various contact soil-wall conditions. Several two-dimensional [...]
- 0
- read
REFLECTIONS ON THE DESIGN OF STEEL POLES FOR TRANSMISSION LINES IN MEXICO
C. Cordero-Macías, L. Mendoza-Mendoza

RIDNAIC (2023). Vol. 23, 4

Abstract
The use of steel poles as support structures for lines in Mexico has increased in the last 30 years, mainly due to the increase in urban and suburban sprawl that demand less right of way for this type of infrastructure and less space for their foundations. To fulfill these requirements, numerous studies have been carried out related to dielectric sizing, optimization of the distance between phases to reduce electrical losses, wind hazard associated with the cable-insulator-hardware-structure-foundation system, structural design criteria based on reliability, natural-scale mechanical tests, among others. This article presents some reflections related to the different stages of the design of metal poles for transmission lines, from input data to structural designs, following the criteria of the Mexican electrical industry for a 230 kV pole, 2 circuits, located in Mexicali, B.C.
Abstract
The use of steel poles as support structures for lines in Mexico has increased in the last 30 years, mainly due to the increase in urban and suburban sprawl that demand less [...]
- 0
- read
CONTRIBUTIONS AND INNOVATIONS IN THE GEOTECHNICAL ENGINEERING PRACTICE OF THE SOILS ENGINEERING OFFICE OF THE PUERTO RICO HIGHWAYS AND TRANSPORTATION AUTHORITY
R. Romero-Ramírez, M. Arroyo-Caraballo

RIDNAIC (2023). Vol. 23, 3

Abstract
The Puerto Rico Soil Engineering Office (OIS) was founded in 1975 and is currently under the Design Area of the Highway and Transportation Authority (ACT). In its foundation, the SEO was composed of a Soils Engineering Division and a Geology Division. Its main function was the subsoil exploration for the geotechnical structures designed and constructed by the PRHTA. Over time, the functions of the SEO evolved while soil engineering and rock engineering were evolving. Today, the SEO continues to attend to inquiries during projects’ design and construction phases. Additionally, the SEO attends several geotechnical initiatives like Geotechnical Asset Management and Unstable Slope Management. This article presents the contributions and innovations in the practice of geotechnical engineering that the OIS has attended and has had a leading role with emphasis on new analyzes and equipment that meet state and federal requirements and current codes that have potential to be implemented in geographic areas in the Caribbean and Latin America with similar geotechnical and geological characteristics.
Abstract
The Puerto Rico Soil Engineering Office (OIS) was founded in 1975 and is currently under the Design Area of the Highway and Transportation Authority (ACT). In its foundation, [...]
- 0
- read
SUSTAINABLE DEVELOPMENT OF SMART CITIES BASED ON INFORMATION TECHNOLOGY AND EDUCATION
C. Chang, T. Salinas-Gamero, M. Vélez-Canchanya, G. Tejada-Salinas

RIDNAIC (2023). Vol. 23, 2

Abstract
Cities have become much more complex, and public agencies are facing increasing challenges to provide efficient and inclusive services to the community. Cities are highly dependent on civil infrastructure and the technologies adopted for the management of public services including transportation, energy, security, water resources, first aid, and supply chain systems. The Smart City concept is interdisciplinary in nature and represents a new way of managing civil infrastructure by identifying problems with the support of advanced technologies. Within this concept, it is necessary to model various scenarios and analyze potential outcomes to seek the best solution for the situations raised. However, the technological components are insufficient by themselves if they do not allow interaction among the parties involved in the management process. In this context, Building Information Modeling (BIM) is a tool that can improve collaboration and communication among the parties involved in the management of civil infrastructure in a city. This article describes a humanistic concept of a Smart City with emphasis on the quality of life and the role of education in its development and sustainability, integrating modern technology for an efficient interaction of health, transportation, public safety, energy, building management subsystems, among others. These interconnected subsystems must provide the services to sustain the quality of life of citizens. In this humanistic approach, practice of civic values has a fundamental role in the responsible use of resources and technological tools to transform a city into a smart one.
Abstract
Cities have become much more complex, and public agencies are facing increasing challenges to provide efficient and inclusive services to the community. Cities are highly [...]
- 0
- read
COMPARATIVE STRESS ANALYSIS OF ELBOWS IN PIPING SYSTEMS APPLYING THE NORMATIVE SAFETY MARGIN
A. Giudici, N. Wechselberg, J. Stuardi, G.

RIDNAIC (2023). Vol. 23, 1

Abstract
Elbows are components in piping systems whose primary function is to achieve a change in flow direction. Their study is relevant, since they present higher stress levels than those observed in straight sections. Early investigations determined that this effect is caused by the ovalization effect and the presence of external moments. The capacity of a cross section to ovalize when external loads are applied results in increased flexibility of the elbows by decreasing the moment of inertia compared to a straight pipe. In this work, stress levels in elbows caused by external moments and internal pressure are studied. As a case study, a series of elbows of various diameters and thicknesses with suitable characteristics for understanding the phenomenon of ovalization and the comparison of different calculation methodologies is proposed. The stresses obtained by applying the ASME B31.1 and ASME B31.3 codes are compared with those obtained by a numerical model of finite elements, through a novel indicator called the Normative Safety Margin. This indicator considers the admissible stresses established by the specifications for the materials of the accessories. Applying B31.1 Code, higher normative safety margins are obtained than those obtained with B31.3. For the entire series under study and all types of applied loads, lower normative safety margins were obtained when the accessories are more flexible.
Abstract
Elbows are components in piping systems whose primary function is to achieve a change in flow direction. Their study is relevant, since they present higher stress levels than [...]
- 0
- read
Dilute Phase Conveying System
S. projects

stratgem projects's personal collection (2023). 2
- 0
- read
Smart manufacturing approach for developing shipyard 4.0 strategy.
A. Rodriguez, P. Corral, A. Rodríguez Antuñano

Andrés Rodríguez Antuñano's personal collection (2023). 1

Abstract
TSI is currently, among other activities, developing and managing smart manufacturing in the framework of the FIBRE4YARDS project, which has as one of its main objectives to increase the production capacity of shipyards for ships made of composite materials through the implementation of highly automated methods and the implementation of Industry 4.0 technologies. Within the project, several demonstrators of different parts of a catamaran and a patrol boat will be built using new manufacturing processes that will have the industry 4.0 philosophy implemented. For this, TSI has designed and built 6 monitoring systems, one for each manufacturing process, and collaborated in the development of the IoT platform for the Shipyard4.0. The objective of TSI is to improve the knowledge of the state of the manufacturing processes and to visualise in real time the parameters of interest of the different manufacturing processes. This research has been carried out in the framework of the FIBRE4YARDS project, composed of relevant stakeholders from the shipbuilding and FRP sectors. This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement no. 101006860.
Abstract
TSI is currently, among other activities, developing and managing smart manufacturing in the framework of the FIBRE4YARDS project, which has as one of its main objectives [...]
- 0
- read
Discussion of “Explicit Solution for Pipe Diameter Problem Using Lambert W-Function”
D. Brkić, P. Praks

Journal of Irrigation and Drainage Engineering (2023). Brkić, D. and Praks, P., 2023. Discussion of “Explicit Solution for Pipe Diameter Problem Using Lambert W-Function”. Journal of Irrigation and Drainage Engineering, 149(7), p.07023016. https://doi.org/10.1061/JIDEDH.IRENG-10071
- 0
- read
Bulk Bag Discharge System
B. Systems:, S. projects

stratgem projects's personal collection (2023). 1
- 0
- read
Thermoset prepreg materials to act as local thermal barrier for the main CFRP structural laminate
C. Saleiro, J. Guerrero, C. Saleiro

Carlos Saleiro's personal collection (2023). 1

Abstract
Carbon fibre polymer composites (CFRP) are widely used in the aeronautical industry thanks of their excellent properties. However, they also have some limitations mainly due to the polymeric nature of their matrix. One of the most significant is their poor resistance to high temperatures
Abstract
Carbon fibre polymer composites (CFRP) are widely used in the aeronautical industry thanks of their excellent properties. However, they also have some limitations mainly due [...]
- 0
- read
The Effect of Astragalus membranaceus Root Extract on Parkinson Inflicted Caenorhabditis elegans
J. Lin, D. Brogna, O. Chaudhry, J. Cohen

J. of Dawn. R. (2023). Vol. 5, 1

Abstract
The effect of Astragalus membranaceus on Caenorhabditis elegans was assessed in this experiment. Parkinson’s Disease directly causes dopamine depletion and other related symptoms. Astragalus contains complex carbohydrates linked to dopamine neuron protection, which could be used to treat Parkinson’s. In this experiment, C.elegans inflicted with Parkinson’s were treated with different concentrations of Astragalus. C.elegans are free-living nematodes that can be genetically engineered to model or stimulate various diseases caused by genetics, Parkinson’s being one of them. The concentrations of astragalus solution were 2 mg/mL, 4 mg/mL, and 8 mg/mL, which were added to the agar that the C.elegans inhabited. Mechanosensory tests included tap reflex and gentle and harsh touch assessment. M9 Buffer was used to inhibit the egg-laying behaviors of C.elegans, and the thrashing rate was assessed for each group. The results indicate that 4 mg/mL is the optimal concentration to treat disease-inflicted C.elegans and had the best results out of the 3 trials. The 4 mg/mL group constantly had the highest tap reflex, gentle, and harsh touch scores that were similar or greater than the wild-type control group. Additionally, the 2 mg/mL also had high scores in trials 2 and 3 in both the gentle and harsh touch assessments. No definite conclusions can be determined from thrashing rate data. The results imply that lower and intermediate concentrations of Astragalus may treat the symptoms of Parkinson’s Disease.
Abstract
The effect of Astragalus membranaceus on Caenorhabditis elegans was assessed in this experiment. Parkinson’s Disease directly causes dopamine depletion and other related [...]
- 0
- read
Surrogate Models of Geometrically Parameterized Flow Systems
A. Huerta, Á. Borrás, R. Perelló-Ribas, M. Giacomini

admos2023.
- 0
- read
Adaptive mixed isogeometric analysis of a highly convective benchmark problem for the Boussinesq equations
A. Abdulhaque, T. Kvamsdal, M. Kumar, A. Kvarving

admos2023.
- 0
- read
High Continuity Basis’s Impact on Continuous Global L2 (CGL2) Recovery
T. Kvamsdal, A. Abdulhaque, M. Kumar, K. Johannessen, A. Kvarving, K. Okstad

admos2023.
- 0
- read
Generating Near-Optimal Meshes Using Green AI
C. Lock, O. Hassan, R. Sevilla, J. Jones

admos2023.
- 0
- read
Adaptive and Parallel Local Mesh Generation Method and its Application
W. Zhang, Y. Nie, W. Guo

admos2023.
- 0
- read
Goal-Oriented Mesh Adaptation based on Optimization Approaches
S. Prudhomme, D. Guignard, K. Kergrene, J. Vacher

admos2023.
- 0
- read
Dimensionality reduction and physics-based manifold learning for parametric models in biomechanics and tissue engineering
A. Muixí, A. García-González, S. Zlotnik, P. Díez

admos2023.
- 0
- read
Enforcing boundary conditions for finite elements in problems requiring continuity higher than C⁰
J. Moitinho de Almeida

admos2023.
- 0
- read
Fast Simulation of Wheel-Rail Contact Using Proper Generalized Decomposition
C. Ansin, F. Larsson, R. Larsson, M. Ekh, B. Pålsson

admos2023.
- 0
- read
A ”ROM+DDCM” framework for thermo-mechanical simulations
N. Blal, A. Gravouil

admos2023.
- 0
- read
Relaxation of an over-constrained thermal problem for the determination of a geophysical temperature distribution
M. Fernandez, P. Díez, S. Zlotnik

admos2023.
- 0
- read
A Reduced Order Approximation for Identification of Non-linear Material Parameters using Optimal Control Method
M. Bhattacharyya, P. Feissel

admos2023.
- 0
- read
Assessment of tailings dams using Model Order Reduction
S. Zlotnik, C. Nasika, P. Díez, P. Gerard, T. Massart

admos2023.
- 0
- read
SEC4TD Project To Improve the Safety of Tailings Storage Facilities
B. Bursa, P. Stefaniak, I. Kakogiannos, I. Garcia-Milà, R. Protasiuk

admos2023.

Abstract
Tailings storage facilities (TSFs) are structures designed to contain tailings (a byproduct of extracting valuable minerals and metals from mined ore) and to manage associated water. Despite all the data collected and a basic understanding of the mechanisms resulting in tailings dam failures, these large structures have consistently failed over the past 50 years, causing human and economic losses and huge environmental consequences to ecosystems and local communities. Therefore, the day-to-day management of these structures is a very challenging task. One needs to focus not only on keeping the tailings discharge plan but also on the construction (the constantly raised embankments) and the structural safety of the TSFs. The operational controls comprise inspections, surveys, installation of the monitoring instrumentations, interpretation of the monitoring readings, and safety analysis of the structure. The article presents the SEC4TD project as a tool to assist the engineering and management staff in day-to-day operations related to keeping the safety of the facility structure.
Abstract
Tailings storage facilities (TSFs) are structures designed to contain tailings (a byproduct of extracting valuable minerals and metals from mined ore) and to manage associated [...]
- 0
- read
Goal-Oriented Adaptive Finite Element Multilevel Monte Carlo with Convergence Rates
J. Beck, Y. Liu, E. von Schwerin, R. Tempone

admos2023.
- 0
- read
Segmentation of Inhomogeneous Noisy Images via a Bayesian Model Coupled with Anisotropic Mesh Adaptation
M. Giacomini, S. Perotto

admos2023.
- 0
- read
Comparing FE2 procedures with seamless scale-bridging using a primal and dual formulation
K. Carlsson, F. Larsson, K. Runesson

admos2023.
- 0
- read
A Piggyback-Style Algorithm for Learning Improved Shearlets and TGV Discretizations
L. Bogensperger, A. Chambolle, T. Pock

admos2023.

Abstract
This work demonstrates how to use a piggyback-style algorithm to compute derivatives of loss functions that depend on solutions of convex-concave saddle-point problems. Two application scenarios are presented, where the piggyback primal-dual algorithm is used to learn an enhanced shearlet transform and an improved discretization of the second-order total generalized variation.
Abstract
This work demonstrates how to use a piggyback-style algorithm to compute derivatives of loss functions that depend on solutions of convex-concave saddle-point problems. Two [...]
- 0
- read
The use of IoT technologies for advanced risk management in tailings dams
A. Bartoli, F. Hernández-Ramírez

admos2023.
- 0
- read
Efficient unstructured mesh deformation using randomized linear algebra in Fluid Structure Interaction
Y. Mesri

admos2023.
- 0
- read
Goal oriented error adaptivity for dynamic stress concentration With a Symmetric Boundary Element Galerkin Method
S. Touhami, D. Aubry

admos2023.
- 0
- read
Gravity Load Effects on Inelastic Simulation of Buildings Subjected to Wind Loads
J. Judd, J. Niedens

admos2023.

Abstract
Reduced-order (single-degree-of-freedom) models of buildings subjected to wind loads were analyzed to determine the effect of gravity loads on inelastic behavior. The lateral wind loads were based on data from atmospheric boundary layer wind tunnel tests to capture the temporal and spatial variation of wind pressure on a building envelope. The lateral load resisting system of the building was idealized using a bilinear relationship, and gravity load effects were introduced using a stability coefficient. Nonlinear response history analyses were solved using direct implicit integration of the equation of motion, and an energy balance was used to assess the quality of the numerical solution. The resulting response histories were used to interrogate the relationship between inelastic displacement, ductility, period of vibration, and gravity loads. The results indicate that inelastic displacements were approximately equal to the elastic displacements even in the presence of gravity loads for cross wind excitation. For along wind excitation, the inelastic displacements were approximately equal to the elastic displacements regardless of gravity loads. The findings suggest that the equal displacement concept may have application to the wind design of high-rise buildings where cross-wind loads control the design of the lateral system
Abstract
Reduced-order (single-degree-of-freedom) models of buildings subjected to wind loads were analyzed to determine the effect of gravity loads on inelastic behavior. The lateral [...]
- 0
- read
Machine Learning Assisted Mesh Adaptation for Geophysical Fluid Dynamics
S. Li, E. Johnson, J. Wallwork, S. Kramer, M. Piggott

admos2023.
- 0
- read
Sparse recovery problem in a hierarchical Bayesian framework
M. Pragliola, D. Calvetti, E. Somersalo

admos2023.
- 0
- read
Dimension Reduction of Dynamic Superresolution and Application to Cell Tracking in PET
A. Schlüter, M. Holler, B. Wirth

admos2023.
- 0
- read
Towards patient-specific modelling of Atherosclerotic Arterial Sections
S. Gahima, P. Díez, M. Stefani, J. Rodríguez, A. García-González

admos2023.
- 0
- read
Digital Volume Correlation techniques for patient-specific simulation of vertebrae with metastasis
L. Person, F. Hild, E. Nadal, J. Roderas, O. Allix

admos2023.
- 0
- read
Clustering-based Parametric Surrogate Modeling of Vibroacoustic Problems Assisted by Neural Networks and Active Subspace Method
H. Sreekumar, L. Outzen, U. Römer, S. Langer

admos2023.

Abstract
This contribution presents a combined framework to perform parametric surrogate modeling of vibroacoustic problems that enables efficient training of large-scale problems. The proposed framework combines the active subspace method to perform dimensionality reduction of high-dimensional problems and thereafter a clustering-based approach within the identified active subspace region to yield smaller training clusters. Finally, a trained neural network assists the cluster classification task for any desired parameter point so as to query the parametric system response during the online phase.
Abstract
This contribution presents a combined framework to perform parametric surrogate modeling of vibroacoustic problems that enables efficient training of large-scale problems. [...]
- 0
- read
Mesh- and model adaptivity for elasto-plastic mean-field and full-field homogenization based on downwind and upwind approximations
A. Tchomgue-Simeu, R. Mahnker

admos2023.

Abstract
Materials such as composites are heterogeneous at the micro-scale, where several constituents with different material properties can be distinguished like elastic inclusions and the elasto-plastic matrix with isotropic hardening. One has to deal with these heterogeneities on the micro-scale and then perform a scale transition to obtain the overall behavior on the macro-scale, which is often referred to as homogenization. The present contribution deals with the combination of numerically inexpensive mean-field and numerically expensive full-field homogenization methods in elasto-plasticity coupled to adaptive finite element method (FEM) which takes into account error generation and error transport at each time step on the macro-scale. The proposed adaptive procedure is driven by a goal-oriented a posteriori error estimator based on duality techniques. The main difficulty of duality techniques in the literature is that the backwards-in-time al gorithm has a high demand on memory capacity since additional memory is required to store the primary solutions computed over all time steps. To this end, several down wind and upwind approximations are introduced for an elasto-plastic primal problem by means of jump terms [1]. Therefore, from a computational point of view, the forwards-in time duality problem is very attractive. A numerical example illustrates the effectiveness of the proposed adaptive approach based on forwards-in-time method in comparison to backwards-in-time method.
Abstract
Materials such as composites are heterogeneous at the micro-scale, where several constituents with different material properties can be distinguished like elastic inclusions [...]
- 0
- read
111111
Research Reports of the International Centre for Numerical Methods in Engineering (CIMNE) (2023). 1
- 0
- read
Replace the AC with the Modern Ceiling Fan!
W. head, Y. hot, U. outdated, I. it., S. Reddy

Replace the AC with the Modern Ceiling Fan! (Select a year).
- 0
- read
Multiscale Finite Element approaches: error estimations and adaptivity for an enriched variant
F. Legoll

admos2023.
- 0
- read
Design Allowables generation by High Fidelity Models for Interlaminar damage propagation based on Uncertainty Quantification
J. Ninyerola-Gavaldà, A. Sasikumar, A. Turon-Travesa

admos2023.
- 0
- read
Runge Kutta (ELDIRK) methods for embedding of low order implicit time integration schemes for goal oriented global error estimation
R. Mahnken

admos2023.
- 0
- read
Modified Constitutive Relation Error for Multi-Physics Wind Turbine Calibration
A. Roussel, L. Chamoin, J. Argaud, P. Bousseau

admos2023.
- 0
- read
Verifying and applying LES-C turbulence models for turbulent incompressible flow and fluid-fluid interaction problems
M. Aggul, Y. Batugerada, A. Labovsky, E. Onal, K. Schwiebert

admos2023.
- 0
- read
Error control and propagation in Adaptive Mesh Refinement applied to elliptic equations on quadtree/octree grids
L. Prouvost, A. Belme, D. Fuster

admos2023.
- 0
- read
Learning Viscoelastic Responses with a Thermodynamic Recurrent Neural Network with Maxwell Encoding
N. Pistenon, S. Cantournet, J. Bouvard, D. Pino-Muñoz, P. Kerfriden

admos2023.
- 0
- read
Quadrilateral Mesh Untangling and Mesh Quality Improvement Via Multiobjective Mesh Optimization
M. Moradi, S. Shontz

admos2023.
- 0
- read
A posteriori error estimates for the Crank-Nicolson method: application to parabolic partial differential equations with small random input data
S. Nakidi, M. Reddy, M. Vynnycky

admos2023.
- 0
- read
Elliptic reconstruction and a posteriori error estimates for the parabolic partial differential equations with small random input data
S. Nakidi, M. Reddy

admos2023.
- 0
- read
Numerical model reduction of the electro-chemically coupled ion transport
V. Tu, K. Runesson, F. Larsson, R. Jänicke

admos2023.
- 0
- read
Moving mesh methods for implicit moving boundary problems
M. Hubbard, A. Cangiari, T. Radley, H. Wells

admos2023.
- 0
- read
An Adaptive Trefftz Method to Analyze the Influence of the Midfield Propagation Conditions on Environmental Railway Noise
N. Ta, L. Chamoin, A. Barbarulo, G. Puel, B. Faure

admos2023.
- 0
- read
A posteriori error estimates of elliptic and parabolic equations for the weak Galerkin finite element methods
Y. Nie, Y. Liu

admos2023.
- 0
- read
A Posteriori Error Estimation and Adaptivity for Second-Order Optimally Convergent G/XFEM and FEM
M. Bento, S. Proença, C. Duarte

admos2023.
- 0
- read
Human Brain Solute Transport Quantified by Glymphatic MRI-informed Biophysics during Sleep and Sleep Deprivation
B. Zapf, V. Vinje, G. Ringstand, P. Eide, M. Rognes, K. Mardal

admos2023.
- 0
- read
Error estimation for surrogate models with noisy small-sized training sets
J. Wackers, H. Pehlivan Solak, R. Pellegrini, A. Serani, M. Diez

admos2023.
- 0
- read
Model updating with a Modified Dual Kalman Filter acting on distributed strain measurements
S. Farahbakhsh, L. Chamoin, M. Poncelet

admos2023.
- 0
- read
A POD-Galerkin Model for Convection-Diffusion-Reaction Equations with Parametric Data based on Adaptive Snapshots
C. Mueller, J. Lang

admos2023.
- 0
- read
Adaptive mesh refinement procedures for the virtual element method
D. van Huyssteen, F. López-Rivarola, G. Etse, P. Steinmann

admos2023.
- 0
- read
An Efficient hp-Adaptive Approach for Compressible Two-Phase Flows using the Level-Set Ghost Fluid Method
P. Mossier, D. Appel, A. Beck, C. Munz

admos2023.
- 0
- read
Assessing the performance of Data-based and Physics-based Model Order Reduction techniques for Geometrically nonlinear problems
P. Babbepalli, J. Remmers, O. van der Sluis

admos2023.
- 0
- read
A modified Constitutive Relation Error (mCRE) framework to learn nonlinear constitutive models from strain measurements with thermodynamics-consistent Neural Networks
A. Benady, L. Chamoin, E. Baranger

admos2023.
- 0
- read
A Coupled HDG-FV Method for Incompressible Flows Simulations
A. Felipe, R. Sevilla, O. Hassan

admos2023.
- 0
- read
A Convergence Proof for Adaptive Parametric PDEs with Unbounded Coefficients
N. Farchmin, M. Eigel

admos2023.
- 0
- read
A new Certified Hierarchical and Adaptive RB-ML-ROM Surrogate Model for Parametrized PDEs
B. Haasdonk, H. Kleikamp, M. Ohlberger, F. Schindler, T. Wenzel

admos2023.
- 0
- read
Adaptive Flow Modelling for Coupled Thin Film and Bulk Fluid Flow
P. Suchde

admos2023.
- 0
- read
Goal-oriented placement of depolluting panels in urban areas - application to a Paris district
J. Waeytens, T. Hamada, R. Chakir, D. Lejri, F. Dugay

admos2023.
- 0
- read
A Mesh Adaptation algorithm for highly deforming domains in the Particle Finite Element Method
T. Leyssens, J. Remacle

admos2023.
- 0
- read
On the Discretization of the Continuous Adjoint to the Euler Equations in Aerodynamic Shape Optimization
M. Kontou, X. Trompoukis, V. Asoutis, K. Giannakoglou

admos2023.

Abstract
In aerodynamic shape optimization, gradient-based algorithms usually rely on the adjoint method to compute gradients. Working with continuous adjoint offers a clear insight into the adjoint equations and their boundary conditions, but discretization schemes significantly affect the accuracy of gradients. On the other hand, discrete ad joint computes sensitivities consistent with the discretized flow equations, with a higher memory footprint though. This work bridges the gap between the two adjoint variants by proposing consistent discretization schemes (inspired by discrete adjoint) for the con tinuous adjoint PDEs and their boundary conditions, with a clear physical meaning. The capabilities of the new Think-Discrete-Do-Continuous adjoint are demonstrated, for in viscid flows of compressible fluids, in shape optimization in external aerodynamics.
Abstract
In aerodynamic shape optimization, gradient-based algorithms usually rely on the adjoint method to compute gradients. Working with continuous adjoint offers a clear insight [...]
- 0
- read
Generation of Massive Databases for Deep Learning Inversion: A Goal-Oriented hp-Adaptive Strategy
J. Álvarez-Aramberri, V. Darrigrand, F. Caro, D. Pardo

admos2023.
- 0
- read
A Multiscale Method with Continuous Matter Addition in DED Additive Manufacturing Processes
M. Picos, Q. Quintela, J. Rodríguez, P. Barral

admos2023.

Abstract
Additive manufacturing (AM) is a production method with great potential for creating complex geometries and reducing material and energy waste. Numerical simulations are crucial to minimize fabrication failures and optimize designs. Nevertheless, the high computational cost of simulating the multi-scale behaviour of AM processes is a challenge. To address this, an Arlequin-based method is proposed, which uses two distinct meshes to capture the high thermal gradients near the melt pool: a coarse mesh for the entire domain and a fine mesh that moves with the heating source. Additionally, a change of variable simplifies calculations on each time step by transforming the moving fine mesh into a fixed mesh. The proposed methodology has the potential to reduce computational costs and improve the efficiency of AM simulations
Abstract
Additive manufacturing (AM) is a production method with great potential for creating complex geometries and reducing material and energy waste. Numerical simulations are crucial [...]
- 0
- read
Accelerated Simulation via Combination of Model Reduction, Surrogate Modeling and Reuse of Simulation Data
A. Strauß, J. Kneifl, J. Fehr, M. Bischoff

admos2023.
- 0
- read
Massively Parallel Simulation and Adaptive Mesh Refinement for 3D Elastostatics Contact Mechanics Problems
A. Epalle, I. Ramière, G. Latu, F. Lebon

admos2023.
- 0
- read
On a direct procedure to construct a basis for the divergence free polynomial stress field space in 3D.
E. Maunder

admos2023.

Abstract
A procedure is proposed for the direct construction of a basis of a space of symmetric divergence free polynomial stress fields in 3D. Such a basis may be used in the formulation of equilibrium finite elements
Abstract
A procedure is proposed for the direct construction of a basis of a space of symmetric divergence free polynomial stress fields in 3D. Such a basis may be used in the formulation [...]
- 0
- read
The use of adaptive FEM-SPH technique in high-velocity impact simulations
A. Cherniaev

admos2023.
- 0
- read
Error Assessment for an Adaptive Finite Elements - Neural Networks Approach Applied to Parametric PDEs
A. Caboussat, M. Girardin, M. Picasso

admos2023.
- 0
- read
Interpretable and Reusable Reduced Order Models for Digital Twins in Manufactory as a Service
V. Zambrano, I. Viejo, G. López, J. Alfonso, J. Rodríguez, M. López-Blanco, P. Talasila, S. Calvo, M. Sánchez

admos2023.
- 0
- read
Space-Time Goal Oriented Error Estimation and Adaptivity for Discretization and Reduced Order Modeling Errors
J. Roth, H. Fischer, J. Thiele, U. Köcher, A. Fau, L. Chamoin, T. Wick

admos2023.
- 0
- read
Adaptive Strategies for Frequency Domain MOR - A Comparative Framework
Q. Aumann, S. Chellappa, A. Nayak

admos2023.
- 0
- read
Adaptive Finite Elements With large aspect ratio for Aluminium Electrolysis
P. Passelli, M. Picasso

admos2023.

Abstract
A continuation anisotropic adaptive algorithm to solve elliptic PDEs is pre sented. The p-laplacian problem and the Stokes equation are considered. The algorithm is based on an a posteriori error indicator justified in [7] and [10]. The goal is to produce an anisotropic mesh such that the relative estimated error is close to a preset tolerance TOL. A continuation method is used to decrease TOL. Numerical results show that the computational time is considerably reduced when using such a continuation algorithm.
Abstract
A continuation anisotropic adaptive algorithm to solve elliptic PDEs is pre sented. The p-laplacian problem and the Stokes equation are considered. The algorithm is based [...]
- 0
- read
DynAMO: Dynamic Anticipatory Mesh Optimization for Hyperbolic PDEs using Reinforcement Learning
K. Mittal, T. Dzanic, J. Yang, S. Petrides, D. Kim, B. Keith, A. Gillette, R. Anderson, D. Faissol

admos2023.
- 0
- read
On the Use of Neural Networks for Inverse Problems
L. Herrmann, T. Bürchner, S. Kollmannsberger

admos2023.
- 0
- read
SuperAdjoint: Super-Resolution Neural Networks in Adjoint-based Output Error Estimation
T. Hunter, S. Hulsoff, A. Sitaram

admos2023.

Abstract
Numerical simulations and optimisation methods, such as mesh adaptation, rely on the accurate and inexpensive use of error estimation methods. Adjoint-based error estimation is the most accurate method, and generally the most costly. A strong contributor to this cost is the need to compute a higher resolution adjoint solution, using time dependent information. Here, recontruction methods applied to the primal and adjoint solutions are proposed to alleviate both the storage footprint of the primal problem and the adjoint computational cost. The method is compared to reference error estimators on an unsteady Burgers’ equation using the method of manufactured solutions. Two reconstruction methods, a proper orthogonal decomposition and a static convolutional neural network were used to demonstrate both the computational cost reduction and the potential for the reduction of the storage footprint of the primal problem. When reconstruction methods are applied to the primal problem, one can use both proposed approaches to reduce the footprint of the solution and reconstruct the effectively compressed primal solution to be recalled for the adjoint solution. The second approach consists in solving an adjoint solution from a coarse primal solution and using reconstruction methods to obtain a higher resolution adjoint solution, necessary for output error estimation and mesh adaptation. The obtained results give great confidence in the use of reconstruction methods for the reduction of both computational cost and storage requirements of adjoint-based error estimation, and goal-oriented mesh adaptation.
Abstract
Numerical simulations and optimisation methods, such as mesh adaptation, rely on the accurate and inexpensive use of error estimation methods. Adjoint-based error estimation [...]
- 0
- read
A hybrid adaptive method for initial-boundary value problems
K. Mattsson, G. Eriksson, V. Stiernström, T. Ahn Dao

admos2023.
- 0
- read
Error Estimation for the Material Point and Particle in Cell Methods
M. Berzins

admos2023.

Abstract
The Material Point Method (MPM) is widely used for challenging applica tions in engineering, and animation. The complexity of the method makes error estimation challenging. Error analysis of a simple MPM method is undertaken and the global error is shown to be first order in space and time for a widely-used variant of the method. Computational experiments illustrate the estimated accuracy.
Abstract
The Material Point Method (MPM) is widely used for challenging applica tions in engineering, and animation. The complexity of the method makes error estimation challenging. [...]
- 0
- read
Real-time monitoring of additive manufacturing processes using a variational data assimilation method with model reduction and bias correction
L. Chamoin, W. Haik, Y. Maday

admos2023.
- 0
- read
Algal Cultivation for Bioenergy Production: First Mathematical Modelling Results in Raceways
A. Martínez, L. Alvarez-Vázquez, C. Rodríguez, M. Vázquez-Méndez

admos2023.

Abstract
The most used algae cultivation systems are the open-channel raceway ponds for their low maintenance and energy costs. Raceways allow algal cultivation using wastewater, where algae mass can be employed as source for bioenergy production. One of the main external factors influencing algal productivity is the velocity of the liquid inside the pond, that can be easily controlled by the position and/or rotational speed of the turning paddle wheel, and by the height of water. In this work we introduce a novel methodology to automate the optimization of the design of raceway ponds based on techniques of optimal control of partial differential equations. So, we formulate the problem as a control problem where the state system is given by the coupled nonlinear equations for hydrodynamics and algae/nitrogen/phosphorus concentrations, and the objective function to be maximized represents the global concentration of algae at final time. We present here a detailed, rigorous mathematical formulation of the optimal control problem, we propose a numerical algorithm for its resolution, and we show some preliminary computational results related to the numerical modelling of the problem.
Abstract
The most used algae cultivation systems are the open-channel raceway ponds for their low maintenance and energy costs. Raceways allow algal cultivation using wastewater, where [...]
- 0
- read
Towards a More Efficient Evacuation of Crowds by Means of an Optimal Location of Exit Doors
L. Alvarez-Vázquez, N. García-Chan, A. Martínez, C. Rodríguez, M. Vázquez-Méndez

admos2023.
- 0
- read
Accelerating model order reduction by multi-fidelity error estimation
L. Feng, L. Lombardi, G. Antonini, P. Benner

admos2023.
- 0
- read
D8.3 (WP8): Development of the exploitation plan
D. Bao

prodPhD OA (2023). 10

Abstract
This document presents the exploitation strategy jointly designed by the consortium as well as individual exploitation intentions of each partner organisation. It includes the actions to be carried out beyond the project lifetime to ensure that prodPhD outcomes are as widely reused as possible, including improvement of the project results, pre-commercialisation action and future exploitation ideas and intentions.
Abstract
This document presents the exploitation strategy jointly designed by the consortium as well as individual exploitation intentions of each partner organisation. It includes [...]
- 0
- read
D8.2 (WP8): Development of the exploitation plan
D. Bao

prodPhD OA (2023). 9

Abstract
This document presents the exploitation strategy jointly designed by the consortium as well as individual exploitation intentions of each partner organisation. It includes the actions to be carried out beyond the project lifetime to ensure that prodPhD outcomes are as widely reused as possible, including improvement of the project results, pre-commercialisation action and future exploitation ideas and intentions.
Abstract
This document presents the exploitation strategy jointly designed by the consortium as well as individual exploitation intentions of each partner organisation. It includes [...]
- 0
- read
D6.3 (WP6): Report on monitoring the project developments
E. Sanz, P. Alonso, J. García-Espinosa

prodPhD OA (2023). 8

Abstract
Deliverable D6.3, ‘Report on monitoring the project developments’, aims to monitor the mid-term progress of the prodPhD project. This deliverable monitors the Key Performance Indicators (KPIs) of the actions in each work package of the project and provides an overall assessment of the results of each pilot action. KPI monitoring was based on the descriptive and evaluative operationalization of the KPIs in D6.1 and the structure developed in D6.2. The KPIs corresponding to each work package were monitored by the leader of each work package in line with their operationalization in D6.1. This end of the project monitoring of the progress of the prodPhD project shows that most of the implemented activities met their targets
Abstract
Deliverable D6.3, ‘Report on monitoring the project developments’, aims to monitor the mid-term progress of the prodPhD project. This deliverable monitors the [...]
- 0
- read
D5.3 (WP5): Report on the development results of the pilot actions
E. Sanz, P. Alonso, J. García-Espinosa

prodPhD OA (2023). 7

Abstract
Deliverable D5.3, ‘Report on the development results of the pilot actions,’ aims to monitor the pilot actions carried on by the partners to test the entrepreneurship courses proposed during the project. The pilots consisted on the collaborative development of entrepreneurship projects, using the ‘learning by doing’ methodology and materials developed in WP3, and were implemented by using the customized social network platform and collaborative work tools developed in WP4. The evaluation of the pilot actions was carried out using surveys directed towards the students of the courses, and technical staff. As two pilot actions were organized, two surveys were distributed: one to the students of the first demonstration action (July 2022) and one to the students of the second action (January 2023). In the case of technical staff one survey was distributed at the end of the second pilot. The results show that the course improved between the first and the second pilot. However, there are still some issues to address. Some students find it difficult to compaginated the course with their PhD duties. The partners tested the possibility of designing shorter seminars that might be easier for the students to fit in their schedules. As students’ satisfaction with the seminars was high, this might be a possibility for future courses at the PhD level
Abstract
Deliverable D5.3, ‘Report on the development results of the pilot actions,’ aims to monitor the pilot actions carried on by the partners to test the entrepreneurship [...]
- 0
- read
A Descriptive Analysis on the Gender Issues in Teaching Physical Education
A. Mortejo, . IJMERI

International Journal of Multidisciplinary Educational Research and Innovation (2023). https://www.ijmeri.com/mortejo-a

Abstract
The aim of the study is to examine the gender issues in physical education instruction at several state colleges and university schools in the Philippines. Utilizing descriptive research, data revealed that physical education teachers need to work on delivering subject matter, planning lessons, and developing didactics in a way that is more gender sensitive. More information demonstrated that physical education teachers lacked the education required to discuss gender concepts, regulations, and standards as well as development approaches in instructing physical education. It is advised that gender equality tools, learning resources, and knowledge products be produced and made accessible for usage in the classroom and coaching context in order to increase gender sensitivity in the teaching of physical education. Physical education instructors are also invited to take part in gender and development training to increase their understanding of gender issues and their capacity to give instruction that is gender sensitive.
Abstract
The aim of the study is to examine the gender issues in physical education instruction at several state colleges and university schools in the Philippines. Utilizing descriptive [...]
- 0
- read