Modeling a Typical Non-Uniform Deformation of Materials Using Physics-Informed Deep Learning: Applications to Forward and Inverse Problems

Numerical methods, such as finite element or finite difference, have been widely used in the past decades for modeling solid mechanics problems by solving partial differential equations (PDEs). Differently from the traditional computational paradigm employed in numerical methods, physics-informed de...

Descrición completa

Detalles Bibliográficos

Principais autores:	Yawen Deng, Changchang Chen, Qingxin Wang, Xiaohe Li, Zide Fan, Yunzi Li
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2023-04-01
Series:	Applied Sciences
Assuntos:	physics-informed neural network solid mechanics non-uniform deformation forward and inverse mechanics problems
Acceso en liña:	https://www.mdpi.com/2076-3417/13/7/4539
Tags:	Engadir etiqueta Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!