Data-driven finite element computation of open-cell foam structures

DOI10.1016/j.cma.2022.115487OpenAlexW4298093544WikidataQ113877828 ScholiaQ113877828MaRDI QIDQ2083120

Tim Fabian Korzeniowski, Kerstin Weinberg

Publication date: 10 October 2022

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2110.11129

zbMATH Keywords

finite element analysisstochastic microstructurerepresentative volume elementsdata-driven mechanicsopen-cell polyurethane foam

Mathematics Subject Classification ID

Finite element methods applied to problems in solid mechanics (74S05) Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs (65N30)

Cites Work

• Data-driven problems in elasticity
• A \(G^ 1\) triangular spline surface of arbitrary topological type
• \(FE^2\) multiscale approach for modelling the elastoviscoplastic behaviour of long fibre SiC/Ti composite materials
• A manifold learning approach to data-driven computational elasticity and inelasticity
• Computational homogenization analysis in finite plasticity. Simulation of texture development in polycrystalline materials
• Model-free data-driven inelasticity
• A comparison of stochastic and data-driven FEM approaches to problems with insufficient material data
• Model-free data-driven computational mechanics enhanced by tensor voting
• A multi-level method for data-driven finite element computations
• Finite element solver for data-driven finite strain elasticity
• Data-driven finite elasticity
• Variational framework for distance-minimizing method in data-driven computational mechanics
• Efficient data structures for model-free data-driven computational mechanics
• Data driven computing with noisy material data sets
• Data-driven computational mechanics
• The heterogeneous multiscale method
• Homogenization and Two-Scale Convergence
• The Periodic Unfolding Method in Homogenization