Documents published in Scipedia

• Accelerated Simulation via Combination of Model Reduction, Surrogate Modeling and Reuse of Simulation Data

  A. Strauß, J. Kneifl, J. Fehr, M. Bischoff

  admos2023.

  
  

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• Massively Parallel Simulation and Adaptive Mesh Refinement for 3D Elastostatics Contact Mechanics Problems

  A. Epalle, I. Ramière, G. Latu, F. Lebon

  admos2023.

  
  

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• 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 [...]

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• The use of adaptive FEM-SPH technique in high-velocity impact simulations

  A. Cherniaev

  admos2023.

  
  

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• Error Assessment for an Adaptive Finite Elements - Neural Networks Approach Applied to Parametric PDEs

  A. Caboussat, M. Girardin, M. Picasso

  admos2023.

  
  

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• 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.

  
  

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• 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.

  
  

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• Adaptive Strategies for Frequency Domain MOR - A Comparative Framework

  Q. Aumann, S. Chellappa, A. Nayak

  admos2023.

  
  

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• 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 [...]

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• 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.

  
  

  • 4
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