Theory and implementation of inelastic constitutive artificial neural networks

DOI10.1016/j.cma.2024.117063MaRDI QIDQ6566033

Hagen Holthusen, Stefanie Reese, Tim Brepols, Lukas Lamm, Ellen Kuhl

Publication date: 3 July 2024

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

zbMATH Keywords

viscoelasticityrecurrent neural networkshyperelasticityinelasticityautomated model discoveryconstitutive neural networks

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Finite element methods applied to problems in solid mechanics (74S05) Finite element, Rayleigh-Ritz and Galerkin methods for initial value and initial-boundary value problems involving PDEs (65M60) Numerical and other methods in solid mechanics (74S99)

This page was built for publication: Theory and implementation of inelastic constitutive artificial neural networks