南方科技大学知识苑(SUSTech KC): A neural network peridynamic method for modeling rubber-like materials

题名	A neural network peridynamic method for modeling rubber-like materials
作者	Chen，Yujie1 ; Yang，Yang 2; Liu，Yijun1
通讯作者	Yang，Yang
发表日期	2024-07-01
DOI	10.1016/j.ijmecsci.2024.109234
发表期刊	International Journal of Mechanical Sciences 影响因子和分区
ISSN	0020-7403
卷号	273
摘要	Peridynamic (PD) is a powerful tool for simulating the large deformation and failure process of many types of materials. However, its use in modeling rubber-like materials is limited due to the complex constitutive nature of the material, and low efficiency and numerical oscillation caused by PD. To address this issue, a neural network (NN) non-ordinary state-based peridynamics (NOSB PD) method is developed to model the large deformation and failure behavior of rubber-like materials. This method is free of the zero-energy modes, and can significantly improve the computational efficiency. Unlike the traditional NOSB PD method that formulates the force density vector based on the deformation gradient, this method uses a deep NN to map the bond related quantities to the force density vector. The accuracy and efficiency of the proposed method are demonstrated through a series of numerical examples. Additionally, this method can be applied to various hyperelastic materials for which analytical constitutive models exist.
关键词	Deformation and fracture Neural network Non-ordinary state-based peridynamics Rubber-like materials Zero-energy modes
相关链接	[Scopus记录]
收录类别	SCI ; EI
语种	英语
学校署名	第一
EI入藏号	20241515888751
EI主题词	Continuum mechanics ; Numerical methods ; Rubber
EI分类号	Natural Rubber:818.1 ; Numerical Methods:921.6 ; Mechanics:931.1
ESI学科分类	ENGINEERING
Scopus记录号	2-s2.0-85189746531
来源库	Scopus
引用统计	被引频次[WOS]：5
成果类型	期刊论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/741058
专题	工学院_力学与航空航天工程系
作者单位	1.Department of Mechanics and Aerospace Engineering,Southern University of Science and Technology,Shenzhen,Guangdong,China 2.Faculty of Material Science,Shenzhen MSU-BIT University,Shenzhen,Guangdong,518172,China
第一作者单位	力学与航空航天工程系
第一作者的第一单位	力学与航空航天工程系
推荐引用方式 GB/T 7714	Chen，Yujie,Yang，Yang,Liu，Yijun. A neural network peridynamic method for modeling rubber-like materials[J]. International Journal of Mechanical Sciences,2024,273.
APA	Chen，Yujie,Yang，Yang,&Liu，Yijun.(2024).A neural network peridynamic method for modeling rubber-like materials.International Journal of Mechanical Sciences,273.
MLA	Chen，Yujie,et al."A neural network peridynamic method for modeling rubber-like materials".International Journal of Mechanical Sciences 273(2024).