标题:A Fast State-Based Peridynamic Numerical Model
作者:Du, Ning; Guo, Xu; Wang, Hong
作者机构:[Du, Ning] Shandong Univ, Sch Math, Jinan 250100, Shandong, Peoples R China.; [Guo, Xu] Chinese Univ Hong Kong, Dept Math, Shatin, Hong Kong, People 更多
通讯作者:Guo, X
通讯作者地址:[Guo, X]Chinese Univ Hong Kong, Dept Math, Shatin, Hong Kong, Peoples R China.
来源:COMMUNICATIONS IN COMPUTATIONAL PHYSICS
出版年:2020
卷:27
期:1
页码:274-291
DOI:10.4208/cicp.OA-2018-0288
关键词:State-based peridynamic model; fast algorithm; collocation method;; stiffness matrix
摘要:The peridynamic (PD) theory is a reformulation of the classical theory of continuum solid mechanics and is particularly suitable for the representation of discontinuities in displacement fields and the description of cracks and their evolution in materials, which the classical partial differential equation (PDE) models tend to fail to apply. However, the PD models yield numerical methods with dense stiffness matrices which requires O(N-2) memory and O(N-3) computational complexity where N is the number of spatial unknowns. Consequently, the PD models are deemed to be computationally very expensive especially for problems in multiple space dimensions.; State-based PD models, which were developed lately, can be treated as a great improvement of the previous bond-based PD models. The state-based PD models have more complicated structures than the bond-based PD models. In this paper we develop a fast collocation method for a state-based linear PD model by exploring the structure of the stiffness matrix of the numerical method. The method has an O(N) memory requirement and computational complexity of O(N log N) per Krylov subspace iteration. Numerical methods are presented to show the utility of the method.
收录类别:SCOPUS;SCIE
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073825575&doi=10.4208%2fcicp.OA-2018-0288&partnerID=40&md5=11120c2a9ffafecdf95ae9b88bf6d33d
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