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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Vydané v:	International journal for numerical methods in engineering Ročník 122; číslo 23; s. 7182 - 7201
Hlavní autori:	Abueidda, Diab W., Lu, Qiyue, Koric, Seid
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Hoboken, USA John Wiley & Sons, Inc 15.12.2021 Wiley Subscription Services, Inc
Predmet:	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
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