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 2021-12, Vol.122 (23), p.7182-7201
Hauptverfasser:	Abueidda, Diab W., Lu, Qiyue, Koric, Seid
Format:	Artikel
Sprache:	eng
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
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