Localized singular boundary method for solving Laplace and Helmholtz equations in arbitrary 2D domains
Autor: | Po-Wei Li, Zengtao Chen, Chia-Ming Fan, Fajie Wang |
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Rok vydání: | 2021 |
Předmět: |
Band matrix
Helmholtz equation Applied Mathematics General Engineering Boundary (topology) 02 engineering and technology Singular boundary method 01 natural sciences 010101 applied mathematics Computational Mathematics symbols.namesake Matrix (mathematics) 020303 mechanical engineering & transports 0203 mechanical engineering Dirichlet boundary condition symbols Applied mathematics Boundary value problem 0101 mathematics Analysis Sparse matrix Mathematics |
Zdroj: | Engineering Analysis with Boundary Elements. 129:82-92 |
ISSN: | 0955-7997 |
DOI: | 10.1016/j.enganabound.2021.04.020 |
Popis: | In this research, the localized singular boundary method (LSBM) is proposed to solve the Laplace and Helmholtz equations in 2D arbitrary domains. In the traditional SBM, the resultant matrix system is a dense matrix, and it is unsuited for solving the large-scale problems. As a localized domain-type meshless method, a local subdomain for every node can be composed by its own and several nearest nodes. To each of the subdomains, the SBM formulation is applied to derive an implicit expression of the variable at each node in conjunction with the moving least-square approximation. To satisfy the boundary conditions at every boundary node and the governing equation at every node, a sparse linear algebraic system can be obtained. Thus, the numerical solutions at all nodes can be achieved by solving it. Compared with the traditional SBM, the LSBM involves only the origin intensity factor on a circular boundary associated with Dirichlet boundary conditions. It can also effectively avoid the boundary layer effect in the conventional SBM. Furthermore, the proposed LSBM requires less memory storage and computational cost due to the sparse and banded matrix system. Several numerical examples are tested to verify the accuracy and stability of the proposed LSBM. |
Databáze: | OpenAIRE |
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