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    Documents published in 2024

    • Simulation of time-dependent cement paste flow: Analysis of transient phenomena during slow flow

      M. Thiedeitz, J. Timothy
      ECCOMAS 2024.

      Abstract
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      • 77
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    • Development of a Coupling Methodology Between CFD Codes

      L. Sirotti, G. Barbi, A. Cervone, F. Giangolini, S. Manservisi
      ECCOMAS 2024.

      Abstract
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      • 4
      •  read

    • Design of an Acoustic Luneburg Lens via Topology Optimization of Pentamode Lattice

      M. Pozzi, S. Cominelli, F. Braghin
      ECCOMAS 2024.

      Abstract
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      • 38
      •  read

    • Projection Based Reduced Order Model of Elasto-Acoustic Vibrations Computed with Isogeometric Analyses

      T. Landi, C. Hoareau, J. Deü, R. Citarella, R. Ohayon
      ECCOMAS 2024.

      Abstract
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      • 138
      •  read

    • Convergence Analysis of Multirate Fixed-Stress Split with Contact Mechanics

      T. Almani, K. Kumar, O. Hamid
      ECCOMAS 2024.

      Abstract
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      • 10
      •  read

    • Towards the Creation of Synthetic Bridge Digital Twins What-If Scenarios: Study Case and Calibration

      A. Rios, K. Demirlioglu, V. Plevris, M. Nogal
      ECCOMAS 2024.

      Abstract
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      • 44
      •  read

    • Numerical Modelling of Multi-ply Polymeric Cords

      L. Costa, M. Moscatelli, P. Caracino, G. Novati, C. Comi
      ECCOMAS 2024.

      Abstract
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      • 62
      •  read

    • Active Control of Separated Flow over a Bump Under Unsteady and Turbulent Conditions

      H. Marbona, D. Rodríguez, A. Martínez-Cava, E. Valero
      ECCOMAS 2024.

      Abstract
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      • 22
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    • CFD-based design and performance analysis of a nose-on-chip device

      E. Fasil, R. Lamioni, A. Mariotti, E. Brunazzi, C. Galletti, M. Salvetti, S. Danti
      ECCOMAS 2024.

      Abstract
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      • 18
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    • A Dynamic CT Based Pipeline To Assess Hemodynamic Indexes and Wall Stiffness of the Aorta

      F. Dell'Agnello, E. Vignali, K. Capellini, M. Scarpolini, E. Gasparotti, F. Cademartiri, S. Celi
      ECCOMAS 2024.

      Abstract
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      • 0
      •  read

    • Numerical Study of Magnetohydrodynamic Hypersonic Flow Around a Blunt Body Using OpenFOAM

      O. Teixeira, J. Pascoa
      ECCOMAS 2024.

      Abstract
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      • 41
      •  read

    • Linear Static and Free Vibration of Functionally Graded Non-Symmetrical I-Shaped Beams

      M. Loja, A. Carvalho, I. Barbosa
      ECCOMAS 2024.

      Abstract
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      • 20
      •  read

    • An integrated multi-imaging AI-based pipeline to study cardiovascular hemodynamic indices: aortic and pulmonary vessels case studies

      M. Mazzoli, B. Fanni, M. Scarpolini, F. Dell'Agnello, S. Celi
      ECCOMAS 2024.

      Abstract
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      • 14
      •  read

    • Adaption of Classical Grain Nucleation Models for the Application in PBF-LB/M Microstructure Simulations

      H. Panzer, O. Boeckuen, W. Zhao, L. Reichert, M. Zaeh, D. Rauner
      ECCOMAS 2024.

      Abstract
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      • 154
      •  read

    • Computational Analysis of Pentamode Structures Under Compressive Loading

      P. Lymperopoulos, E. Theotokoglou
      ECCOMAS 2024.

      Abstract
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      • 3
      •  read

    • Key Components for Efficient High Re Flow Simulations Around an Airfoil Using LBM

      J. Gericke, K. Stahl, H. Klimach, S. Roller
      ECCOMAS 2024.

      Abstract
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      • 35
      •  read

    • Physics-Constrained NN-based Hyperelastic Constitutive Modeling of TPVs

      H. Lobato, J. Matxain, A. Burgoa
      ECCOMAS 2024.

      Abstract
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      • 162
      •  read

    • Local Immersed Boundary Method on body-conformal grids for the capture of geometrical features in aerodynamic simulations

      R. Soppi, F. Basile, S. Péron, M. Lagha, I. Hammani
      ECCOMAS 2024.

      Abstract
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      • 22
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    • Comparison of data -driven methods for the prediction of flows about a wing

      J. PETER, M. LIPPI
      ECCOMAS 2024.

      Abstract
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      • 27
      •  read

    • Optimal Design of Vehicle Dynamics Using Gradient-based, Mixed-fidelity Multidisciplinary Optimization

      H. Cheong, M. Ebrahimi, H. Salehipour, A. Butscher, A. Tessier
      ECCOMAS 2024.

      Abstract
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      • 4
      •  read

    • Towards domain decomposition of large neural networks

      B. Rosic, T. Goedde
      ECCOMAS 2024.

      Abstract
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      • 41
      •  read

    • Competition between 2D and 3D aerodynamic stall modes in transitional flows around a NACA0012 airfoil at Re=90000

      K. Sarras, O. Marquet
      ECCOMAS 2024.

      Abstract
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      • 70
      •  read

    • Algorithmic Differentiation of the pythonOCC Geometric Modeling Library

      M. Banovic, T. Hafemann, A. Stück
      ECCOMAS 2024.

      Abstract
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      • 37
      •  read

    • Study of hemodynamic in the iliac bifurcation through Fluid-Structure Interaction simulations

      F. Carneiro, L. Bastos, S. Teixeira, J. Teixeira
      ECCOMAS 2024.

      Abstract
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      • 247
      •  read

    • A Model-Reduction Technique based on Perturbation Method for the Analysis of Variable-Stiffness Shells

      C. Yan, R. Vescovini
      ECCOMAS 2024.

      Abstract
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      • 17
      •  read

    • Review and challenges for a realistic numerical SHM benchmark

      F. Marafini, G. Zini, A. Barontini, M. Betti, G. Bartoli, N. Mendes, A. Cicirello
      ECCOMAS 2024.

      Abstract
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      • 38
      •  read

    • Parametric model reduction for broad-band frequency analysis of nearly periodic structures

      J. Mencik
      ECCOMAS 2024.

      Abstract
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      • 2
      •  read

    • A non-intrusive surrogate model for hip implant positioning

      M. Reiber, F. Bensel, Z. Zheng, U. Nackenhorst
      ECCOMAS 2024.

      Abstract
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      • 35
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    • Topology Optimization subject to Constraints on the Interface Stiffness Matrix

      T. Wanninger, E. Gündoğan, M. Zimmermann
      ECCOMAS 2024.

      Abstract
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      • 184
      •  read

    • Mapping Manufacturing Variability to Composite Pressure Vessels’ Geometry

      R. Santos, A. Persoons, D. Moens
      ECCOMAS 2024.

      Abstract
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      • 8
      •  read

    • Clustered Active Subspaces for Surrogate-Based Aerodynamic Shape Optimisation

      M. Chapron, C. Blondeau, M. Bergmann, I. Din, D. Sipp
      ECCOMAS 2024.

      Abstract
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      • 15
      •  read

    • Efficient Mechanical Design of Lattice Metamaterials: a Multiscale Homogenization-based Approach

      L. Cibrario, C. Gastaldi, I. Cozza, C. Delprete
      ECCOMAS 2024.

      Abstract
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      • 53
      •  read

    • Strain Rate Sensitive Delamination Modelling in Fibre Reinforced Polymer Composites

      J. Ratkovic, D. Ivančević
      ECCOMAS 2024.

      Abstract
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      • 6
      •  read

    • Towards industrial relevance: Uncertainty in numerical resistance spot welding models

      B. Verkens, M. Faes, P. Rymenant, D. Moens
      ECCOMAS 2024.

      Abstract
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      • 0
      •  read

    • Accelerating the FlowSimulator: Mixed Precision Linear Solvers in Industrial Grade CFD

      J. Wendler, I. Huismann, O. Krzikalla, A. Rempke
      ECCOMAS 2024.

      Abstract
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      • 4
      •  read

    • Brick Masonry Constituent Material Property Characterization Through Impact Excitation and Ultrasonic Pulse Velocity Test.

      A. Owoeye, T. Larrard, Z. Djamai, F. Duprat
      ECCOMAS 2024.

      Abstract
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      • 36
      •  read

    • Towards an actuator line model for the interaction between air jets and slender multi-component structures

      A. Bral, L. Daelemans, J. Degroote
      ECCOMAS 2024.

      Abstract
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      • 43
      •  read

    • Multidisciplinary optimization of load adaptive wings for highly efficient long-haul airliners

      T. Wunderlich, S. Dähne
      ECCOMAS 2024.

      Abstract
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      • 13
      •  read

    • Comparison of Integration Methods for Cut Elements

      G. Teixeira, M. Loibl, B. Marussig
      ECCOMAS 2024.

      Abstract
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      • 149
      •  read

    • A High-Fidelity Framework Approach Enabling High-order Implicit Time Stepping For MDAO

      F. Roß, A. Büchner, S. Gottfried, A. Stück
      ECCOMAS 2024.

      Abstract
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      • 10
      •  read

    • Zonal Time-stepping Method for Multi-scale Unsteady Simulations within an Industrial CFD Code

      C. Touze
      ECCOMAS 2024.

      Abstract
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      • 4
      •  read

    • Efficient and Robust Implicit Solvers for Unsteady Flow Problems Using Harmonic Balance

      C. Frey, G. Ashcroft, J. Backhaus
      ECCOMAS 2024.

      Abstract
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      • 28
      •  read

    • Design Domain Distribution for Topology Optimization using Machine Learning

      F. Endress, S. Diaz, M. Zimmermann
      ECCOMAS 2024.

      Abstract
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      • 10
      •  read

    • A Practical Data Generation Framework for 4D Automotive MIMO Radar: Enabling Deep Learning and Radar Performance Analysis

      M. Jürgensen, J. Michel, M. Vossiek
      ECCOMAS 2024.

      Abstract
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      • 219
      •  read

    • Efficient high-fidelity simulations for the energy transition using ARM and x86 64 architectures

      A. Anciaux-Sedrakian, R. Gayno, T. Guignon, A. Maarouf
      ECCOMAS 2024.

      Abstract
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      • 34
      •  read

    • Level-set based composite voxels for FFT-based computational homogenization of thermal conductivity

      J. Lendvai, M. Schneider
      ECCOMAS 2024.

      • 148
      •  read

    • Postbuckling Analysis of Variable Stiffness Laminates via R-Function Method

      P. Foligno, C. Yan, R. Vescovini
      ECCOMAS 2024.

      Abstract
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      • 2
      •  read

    • Analysis of correlated flow fields via extended cluster-based network models

      A. Colanera, M. Reumschuessel, J. Beuth, M. Chiatto, L. Luca, K. Oberleithner
      ECCOMAS 2024.

      Abstract
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      • 27
      •  read

    • MRI-based Computational Modeling of Human Cortical Folding

      A. Kerachni, M. Alenyà, O. Camara, J. Lefèvre, F. Rousseau, T. Lavigne, S. Urcun
      ECCOMAS 2024.

      Abstract
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      • 71
      •  read

    • Accelerating the FlowSimulator: Mesh Deformation Performance Enhancement through Mixed Precisions

      M. Cristofaro, J. Wendler, I. Huismann, A. Rempke
      ECCOMAS 2024.

      Abstract
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      • 46
      •  read

    • Modeling of fiber-reinforced, pressurised and preformed hoses

      Q. Hoesch, M. Roller, F. Schneider-Jung, J. Linn, R. Müller
      ECCOMAS 2024.

      Abstract
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      • 92
      •  read

    • On the Use of Representative Inhomogeneous Poisson-Voronoi Tessellations for Brittle Fragmentation Modelling

      J. LHONNEUR
      ECCOMAS 2024.

      Abstract
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      • 10
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    • Behaviour of URM piers under horizontal actions – Comparison of experimental and numerical results

      I. Hafner, T. Kišiček, M. Gams
      ECCOMAS 2024.

      Abstract
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      • 18
      •  read

    • Evaluation of Material Models Used in Multi-Material Topology Optimization

      A. Ali, P. Gangl, M. Gföhler, M. Kapl, T. Cherrière
      ECCOMAS 2024.

      Abstract
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      • 39
      •  read

    • Thinning-induced breakup of a gravitational liquid jet driven by varicose perturbations

      A. Pia, M. Chiatto, L. Luca
      ECCOMAS 2024.

      Abstract
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      • 7
      •  read

    • Modeling Velocity Fluctuations for the Derivation of Automotive Component Loads

      P. Strähle, S. Wolff-Vorbeck, T. Leyendecker, C. Proppe
      ECCOMAS 2024.

      Abstract
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      • 47
      •  read

    • 3D Analysis of the behaviour of a foreign object in electromagnetic relays

      M. Saeki, Y. Saitou, K. Takahashi, Y. Wakabayashi, M. Kaneko, N. Sakai, M. IIda
      ECCOMAS 2024.

      Abstract
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      • 34
      •  read

    • A PDE-informed and Physics-informed neural network for learning weak solutions in two-dimensional conservation laws

      E. Abreu, J. Florindo, W. Lambert
      ECCOMAS 2024.

      Abstract
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      • 41
      •  read

    • Isogeometric Analysis for 2D Magnetostatic Computations with Multi-level Bézier Extraction for Local Refinement

      A. Grendas, M. Wiesheu, S. Schöps, B. Marussig
      ECCOMAS 2024.

      Abstract
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      • 110
      •  read

    • Stable, Efficient, and Higher-order Mesh Movement in Large-displacement Fluid-structure Interaction

      T. Schwentner, D. Bosnjak, T. Fries
      ECCOMAS 2024.

      Abstract
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      • 4
      •  read

    • Comparison between linear and non-linear multifidelity models for turbulent flow problems

      M. Glazunov, A. Revell, P. Schlatter, S. Rezaeiravesh
      ECCOMAS 2024.

      Abstract
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      • 120
      •  read

    • Enhancing industrial quality control efficiency: an innovative deep learning approach for sustainable process monitoring

      M. Zribi, P. Pagliuca, F. Pitolli
      ECCOMAS 2024.

      Abstract
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      • 52
      •  read

    • Harmonic Behavior of Functionally Graded I-shaped Beams Using the Thermoelastic Model

      A. Carvalho
      ECCOMAS 2024.

      Abstract
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      • 3
      •  read

    • Modeling GPR observations on railway tracks via black box and physics informed neural networks

      T. Rigoni, G. Arcieri, M. Haywood-Alexander, D. Haener, E. Chatzi
      ECCOMAS 2024.

      Abstract
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      • 85
      •  read

    • A Finite Element Method for the Simultaneous Analysis of Implicitly Defined Reissner-Mindlin Shells

      M. Kaiser, T. Fries
      ECCOMAS 2024.

      Abstract
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      • 47
      •  read

    • Software Implementation to Simulate the Hemodynamics in Patient-Specific Coronary Arteries: A Review from the Past to the Present

      S. Pinto
      ECCOMAS 2024.

      Abstract
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      • 37
      •  read

    • Droplet and particle formation in an X-microdevice

      A. Mariotti, S. Masoni, C. Galletti, M. Salvetti, E. Brunazzi
      ECCOMAS 2024.

      Abstract
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      • 14
      •  read

    • Back-Analysis of Multi-Drum Columns to Estimate Information about Past Earthquakes

      L. Papaloizou, P. Polycarpou, E. Sarris, M. Kyriakides
      ECCOMAS 2024.

      Abstract
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      • 12
      •  read

    • Effect of the Carotid Geometry on the Onset of Atherosclerotic Plaques

      M. Salvetti, J. Singh, K. Capellini, A. Mariotti, S. Celi
      ECCOMAS 2024.

      Abstract
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      • 10
      •  read

    • Simulating Two-Phase Flow with a Sharp, Structure-Preserving Two-Velocity Model

      A. Veldman, R. Remmerswaal
      ECCOMAS 2024.

      Abstract
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      • 24
      •  read

    • Numerical Analysis of a Large Scale Distributed Propulsion Experiment at High Lift

      J. Oldeweme, T. Lindner, C. Bode, P. Scholz, J. Friedrichs, M. Kamphues
      ECCOMAS 2024.

      Abstract
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      • 31
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    • Review of liquid hydrogen tanks for short- and medium-haul aircraft

      D. Terlizzi, A. Bamoshmoosh, G. Valenti
      ECCOMAS 2024.

      Abstract
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      • 172
      •  read

    • Data Science Approach to Modeling Data Center Energy Efficiency

      Y. Gebreyesus, D. dalton, D. chiara, M. chinnici
      ECCOMAS 2024.

      Abstract
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      • 20
      •  read

    • On a Skin Effect in Magnetic Conductors

      V. Péron
      ECCOMAS 2024.

      Abstract
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      • 11
      •  read

    • Skeleton-based Block-structured Mesh Generation of Vascular Domains

      D. Bosnjak, T. Fries
      ECCOMAS 2024.

      Abstract
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      • 18
      •  read

    • Linear stability exploration of transcritical non-isothermal Poiseuille flows

      M. Bernades, F. Capuano, L. Jofre
      ECCOMAS 2024.

      Abstract
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      • 6
      •  read

    • On The Numerical Simulation Of Left Ventricle Models

      E. Lazpita, M. Nagargoje, S. Clainche, J. Garicano-Mena
      ECCOMAS 2024.

      Abstract
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      • 56
      •  read

    • Spatio-Temporal Analysis of the Structures in High-Pressure Transcritical Fluid Flows

      G. Barea, L. Jofre
      ECCOMAS 2024.

      Abstract
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      • 11
      •  read

    • Buoyant High-Pressure Transcritical Fluid Duct Flows

      C. Monteiro, L. Jofre
      ECCOMAS 2024.

      Abstract
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      • 5
      •  read

    • Collocation and Galerkin isogeometric approximations of acoustic waves: a numerical comparison of spectral properties

      E. Zampieri, L. Pavarino, S. Scacchi
      ECCOMAS 2024.

      Abstract
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      • 0
      •  read

    • Data-Driven Acceleration of Statistical Convergence in Turbulent Flows

      N. Masclans, L. Jofre
      ECCOMAS 2024.

      Abstract
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      • 23
      •  read

    • Fuel Burn Efficiency Potential of Load Alleviation and Wing Planform Optimization in Conceptual Overall Aircraft Design

      M. Krengel
      ECCOMAS 2024.

      Abstract
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      • 10
      •  read

    • Implicit LES via spectral/hp methods: rationale and comparison to traditional LES

      D. Garcia-Ribeiro, A. Zanca, R. Moura, S. Sherwin, V. Malatesta
      ECCOMAS 2024.

      Abstract
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      • 27
      •  read

    • Dispersion Characteristics of Fiber-Reinforced Prestretched Materials: A SAFE Approach

      A. Patra, R. Sapru, M. Joglekar
      ECCOMAS 2024.

      Abstract
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      • 16
      •  read

    • Flow Manipulation Strategies: Detached Eddy Simulation Study of DBD Plasma Actuators in a Bluff Body Burner

      F. Bagherighajari, J. Pascoa, M. Abdollahzadehsangroudi
      ECCOMAS 2024.

      Abstract
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      • 21
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    • Generating support structures for Additive Manufacturing using topology optimization and AM-guidelines

      J. Castro, C. Medina, P. Flores, P. Duysinx, E. Fernández
      ECCOMAS 2024.

      Abstract
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      • 47
      •  read

    • Inverse Uncertainty Quantification in Passive Automobile Safety: Bayesian Inversion for Optimal Safety Ratings with Robustness Quantification

      M. Herold, J. Jehle, M. Gerdts
      ECCOMAS 2024.

      Abstract
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      • 25
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    • Automated transport separation using the neural shifted proper orthogonal decomposition

      B. Zorawski, S. Burela, P. Krah, A. Marmin, K. Schneider
      ECCOMAS 2024.

      Abstract

      This paper presents a neural network-based methodology for the decomposition of transport-dominated fields using the shifted proper orthogonal decomposition (sPOD). Classical sPOD methods typically require an a priori knowledge of the transport operators to determine the co-moving fields. However, in many real-life problems, such knowledge is difficult or even impossible to obtain, limiting the applicability and benefits of the sPOD. To address this issue, our approach estimates both the transport and co-moving fields simultaneously using neural networks. This is achieved by training two sub-networks dedicated to learning the transports and the co-moving fields, respectively. Applications to synthetic data and a wildland fire model illustrate the capabilities and efficiency of this neural sPOD approach, demonstrating its ability to separate the different fields effectively

      Abstract
      This paper presents a neural network-based methodology for the decomposition of transport-dominated fields using the shifted proper orthogonal decomposition (sPOD). Classical [...]

      • 229
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    • A Novel EHD-Jet System to Achieve High Performance in Terms of Energy Consumption and Heat Transfer

      M. Abdollahzadehsangroudi, F. Dolati, M. khodkameh, J. Pascoa
      ECCOMAS 2024.

      Abstract
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      • 181
      •  read

    • A new approach towards assessing convergence of partitioned fluid-structure interaction simulations

      N. Delaissé, T. Spenke, N. Hosters, J. Degroote
      ECCOMAS 2024.

      Abstract
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      • 4
      •  read

    • Multiscale Finite Element Study of the Effects of the Water Retention Curve Hysteresis on Chloride Ingress in Recycled Aggregates Concrete.

      A. Fanara, L. Courard, F. Collin
      ECCOMAS 2024.

      Abstract
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      • 20
      •  read

    • A New Metamaterial Plate With Tunable Thermal Expansion

      M. Latella, D. Faraci, C. Comi
      ECCOMAS 2024.

      Abstract
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      • 26
      •  read

    • Model Order Reduction for Coupled Multi-Domain Simulations Applied to Helicopters

      L. Frie, O. Wengrzyn, M. Keßler, E. Krämer, P. Eberhard
      ECCOMAS 2024.

      Abstract
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      • 44
      •  read

    • Implicit Neural Representation For Accurate CFD Flow Field Prediction

      L. Vito, N. Pinnau, S. Dey
      ECCOMAS 2024.

      Abstract
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      • 56
      •  read

    • Flow Structures around the Burj Khalifa in 2D and 3D

      L. Fan, T. Teschner, J. Li
      ECCOMAS 2024.

      Abstract
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      • 29
      •  read

    • State Space System Identification and Impact Aided Damping Ratio Estimation for a Strengthened Stone Masonry Building

      D. Gautam, R. Adhikari, S. Olafsson, R. Rupakhety
      ECCOMAS 2024.

      Abstract
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      • 20
      •  read

    • Numerical simulation of vectoring of arc plasma jet using Coanda effect

      F. Rodrigues, M. Modanloujoubari, F. Dolati, H. Deylami, J. Pascoa, M. Abdollahzadehsangroudi
      ECCOMAS 2024.

      Abstract
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      • 46
      •  read

    • Enhancing Thermal Conductivity Modeling of Polyurethane with Phase Change Materials via Physics-Informed Neural Networks at Multiple Scales

      B. Liu
      ECCOMAS 2024.

      Abstract
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      • 5
      •  read

    • Multidisciplinary Modular Approach to Kinematic Mechanism Synthesis

      N. Shahmansouri, H. Cheong, A. Tessier, A. Butscher
      ECCOMAS 2024.

      Abstract

      In kinematic mechanism synthesis, the goal is to find the optimal configuration and parameters of a mechanism system that produces desired mechanical performance such as motion or force. For a problem involving a complex set of requirements, the optimal system often comprises of many mechanism components, known as Mechanical Building Blocks (MBBs). For example, a complex power transmission system is created with a series of gears, shafts, belts, etc. During the search for an optimal system, the algorithm must be able to evaluate the perfor mance of a candidate system made up of an arbitrary collection of building blocks. To address this challenge, we propose modular modelling of the MBBs that can be composed on-the-fly as a system of equations to be solved. This approach is largely based on multidisciplinary design optimization framework, where the model is composed by considering all relevant disciplines simultaneously to find an optimal solution. In this work, we present the first set of MBBs modelled so far, and three use cases where these building blocks are automatically composed to create a complex mechanism system and analyzed to find the optimal parameters of the system. Our approach is implemented using Dymos, which employs modular analysis and unified derivatives (MAUD) for computing the total derivatives out of the partial derivatives of individual building blocks for gradient-based optimization and a direct collocation method for integrating the kinematic equations. In sum mary, our work demonstrates the value of the multidisciplinary design optimization approach in solving a mechanism synthesis problem

      Abstract
      In kinematic mechanism synthesis, the goal is to find the optimal configuration and parameters of a mechanism system that produces desired mechanical performance such as motion [...]

      • 4
      •  read

    • Approximate calculation of changes in local and global quantities due to design modifications

      D. Materna
      ECCOMAS 2024.

      Abstract

      This contribution introduces a method for goal-oriented and global reanalysis. It allows the prediction of changes in selected quantities of interest by using the changes in the primal and dual so lutions resulting from structural modifications (e.g., changes in shape, topology, or material properties). Theapproach uses a goal-oriented method that includes both primal and dual problems. In particular, this method is easy to integrate into existing finite element programs because it does not require derivatives with respect to design variables

      Abstract
      This contribution introduces a method for goal-oriented and global reanalysis. It allows the prediction of changes in selected quantities of interest by using the changes [...]

      • 61
      •  read
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