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Please use this identifier to cite or link to this item: http://scholars.ntou.edu.tw/handle/123456789/1186
Title: Localized method of fundamental solutions for large-scale modeling of two-dimensional elasticity problems
Authors: Yan Gu
Chia-Ming Fan 
Rui-Ping Xu
Keywords: Method of fundamental solutions;Meshless method;Large-scale modeling;Two-dimensional elasticity problems
Issue Date: Jul-2019
Journal Volume: 93
Start page/Pages: 8-14
Source: Applied Mathematics Letters
Abstract: 
The traditional method of fundamental solutions (MFS) based on the “global” boundary discretization leads to dense and non-symmetric coefficient matrices that, although smaller in sizes, require huge computational cost to compute the system of equations using direct solvers. In this study, a localized version of the MFS (LMFS) is proposed for the large-scale modeling of two-dimensional (2D) elasticity problems. In the LMFS, the whole analyzed domain can be divided into small subdomains with a simple geometry. To each of the subdomain, the traditional MFS formulation is applied and the unknown coefficients on the local geometric boundary can be calculated by the moving least square method. The new method yields a sparse and banded matrix system which makes the method very attractive for large-scale simulations. Numerical examples with up to 200,000 unknowns are solved successfully using the developed LMFS code.
URI: http://scholars.ntou.edu.tw/handle/123456789/1186
ISSN: 0893-9659
DOI: 10.1016/j.aml.2019.01.035
Appears in Collections:河海工程學系

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