Sobolev training of thermodynamic-informed neural networks for interpretable elasto-plasticity models with level set hardening-Reference-Cited by-同舟云学术

Sobolev training of thermodynamic-informed neural networks for interpretable elasto-plasticity models with level set hardening

Published:2021-04 Issue: Volume:377 Page:113695
ISSN:0045-7825
Container-title:Computer Methods in Applied Mechanics and Engineering
language:en
Short-container-title:Computer Methods in Applied Mechanics and Engineering

Author:

Vlassis Nikolaos N.^ORCID,Sun WaiChing^ORCID

Funder

Air Force Office of Scientific Research

National Science Foundation

Publisher

Elsevier BV

Subject

Computer Science Applications,General Physics and Astronomy,Mechanical Engineering,Mechanics of Materials,Computational Mechanics

Reference68 articles.

1. Generalized plasticity and the modelling of soil behaviour;Pastor;Int. J. Numer. Anal. Methods Geomech.,1990

2. Computational Geomechanics, Vol. 613;Zienkiewicz,1999

3. A cooperative game for automated learning of elasto-plasticity knowledge graphs and models with ai-guided experimentation;Wang;Comput. Mech.,2019

4. A non-cooperative meta-modeling game for automated third-party calibrating, validating, and falsifying constitutive laws with parallelized adversarial attacks;Wang,2020

5. Bounding surface plasticity. i: Mathematical foundation and hypoplasticity;Dafalias;J. Eng. Mech.,1986

Cited by 110 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Near-optimal deep neural network approximation for Korobov functions with respect to Lp and H1 norms;Neural Networks;2024-12

2. Improving the performance of Stein variational inference through extreme sparsification of physically-constrained neural network models;Computer Methods in Applied Mechanics and Engineering;2024-12

3. Recovering Mullins damage hyperelastic behaviour with physics augmented neural networks;Journal of the Mechanics and Physics of Solids;2024-12

4. Data-driven methods for computational mechanics: A fair comparison between neural networks based and model-free approaches;Computer Methods in Applied Mechanics and Engineering;2024-11

5. Polyconvex neural network models of thermoelasticity;Journal of the Mechanics and Physics of Solids;2024-11