Learning solutions of thermodynamics-based nonlinear constitutive material models using physics-informed neural networks
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00466-023-02435-3.pdf
Reference77 articles.
1. Roters F, Diehl M, Shanthraj P, Eisenlohr P, Reuber C, Wong SL, Maiti T, Ebrahimi A, Hochrainer T, Fabritius H-O, Nikolov S, Friák M, Fujita N, Grilli N, Janssens KGF, Jia N, Kok PJJ, Ma D, Meier F, Werner E, Stricker M, Weygand D, Raabe D (2019) Damask - the düsseldorf advanced material simulation kit for modeling multi-physics crystal plasticity, thermal, and damage phenomena from the single crystal up to the component scale. Comput Mater Sci 158:420–478
2. Choo J, Sun WC (2018) Coupled phase-field and plasticity modeling of geological materials: from brittle fracture to ductile flow. Comput Methods Appl Mech Eng 330:1–32
3. Brepols T, Wulfinghoff S, Reese S (2017) Gradient-extended two-surface damage-plasticity: micromorphic formulation and numerical aspects. Int J Plast 97:64–106
4. Matouš K, Geers MGD, Kouznetsova VG, Gillman A (2017) A review of predictive nonlinear theories for multiscale modeling of heterogeneous materials. J Comput Phys 330:192–220
5. Weber G, Pinz M, Ghosh S (2022) Machine learning-enabled self-consistent parametrically-upscaled crystal plasticity model for ni-based superalloys. Comput Methods Appl Mech Eng 402:115384
Cited by 3 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. Model-free chemomechanical interfaces: History-dependent damage under transient mass diffusion;Computer Methods in Applied Mechanics and Engineering;2024-11
2. Viscoelasticty with physics-augmented neural networks: model formulation and training methods without prescribed internal variables;Computational Mechanics;2024-05-06
3. Mixed formulation of physics‐informed neural networks for thermo‐mechanically coupled systems and heterogeneous domains;International Journal for Numerical Methods in Engineering;2023-11-08
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3