Meshless physics‐informed deep learning method for three‐dimensional solid mechanics

Deep learning (DL) and the collocation method are merged and used to solve partial differential equations (PDEs) describing structures' deformation. We have considered different types of materials: linear elasticity, hyperelasticity (neo‐Hookean) with large deformation, and von Mises plasticity...

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Veröffentlicht in:	International journal for numerical methods in engineering Jg. 122; H. 23; S. 7182 - 7201
Hauptverfasser:	Abueidda, Diab W., Lu, Qiyue, Koric, Seid
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken, USA John Wiley & Sons, Inc 15.12.2021 Wiley Subscription Services, Inc
Schlagworte:	Collocation methods computational mechanics Deep learning Deformation Finite element method machine learning Mathematical models meshfree method Meshless methods Neural networks Numerical methods Partial differential equations physics‐informed learning Solid mechanics
ISSN:	0029-5981, 1097-0207
Online-Zugang:	Volltext
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