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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Bibliographic Details

Published in:	International journal for numerical methods in engineering Vol. 122; no. 23; pp. 7182 - 7201
Main Authors:	Abueidda, Diab W., Lu, Qiyue, Koric, Seid
Format:	Journal Article
Language:	English
Published:	Hoboken, USA John Wiley & Sons, Inc 15.12.2021 Wiley Subscription Services, Inc
Subjects:	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 Access:	Get full text
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