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The complex variable meshless local Petrov—Galerkin method of solving two-dimensional potential problems
引用本文:杨秀丽,戴保东,张伟伟.The complex variable meshless local Petrov—Galerkin method of solving two-dimensional potential problems[J].中国物理 B,2012,21(10):100208-100208.
作者姓名:杨秀丽  戴保东  张伟伟
作者单位:Department of Engineering Mechanics,Taiyuan University of Science & Technology
基金项目:Project supported by the Young Scientists Fund of the National Natural Science Foundation of China (Grant No. 11102125)
摘    要:Based on the complex variable moving least-square(CVMLS) approximation and a local symmetric weak form,the complex variable meshless local Petrov-Galerkin(CVMLPG) method of solving two-dimensional potential problems is presented in this paper.In the present formulation,the trial function of a two-dimensional problem is formed with a one-dimensional basis function.The number of unknown coefficients in the trial function of the CVMLS approximation is less than that in the trial function of the moving least-square(MLS) approximation.The essential boundary conditions are imposed by the penalty method.The main advantage of this approach over the conventional meshless local Petrov-Galerkin(MLPG) method is its computational efficiency.Several numerical examples are presented to illustrate the implementation and performance of the present CVMLPG method.

关 键 词:meshless  method  complex  variable  moving  least-square  method  complex  variable  meshless  local  Petrov-Galerkin  method  potential  problems
收稿时间:2012-02-28

The complex variable meshless local Petrov-Galerkin method of solving two-dimensional potential problems
Yang Xiu-Li,Dai Bao-Dong,Zhang Wei-Wei.The complex variable meshless local Petrov-Galerkin method of solving two-dimensional potential problems[J].Chinese Physics B,2012,21(10):100208-100208.
Authors:Yang Xiu-Li  Dai Bao-Dong  Zhang Wei-Wei
Institution:Department of Engineering Mechanics, Taiyuan University of Science & Technology, Taiyuan 030024, China
Abstract:Based on the complex variable moving least-square (CVMLS) approximation and a local symmetric weak form, the complex variable meshless local Petrov-Galerkin (CVMLPG) method of solving two-dimensional potential problems is presented in this paper. In the present formulation, the trial function of a two-dimensional problem is formed with a one-dimensional basis function. The number of unknown coefficients in the trial function of the CVMLS approximation is less than that in the trial function of the moving least-square (MLS) approximation. The essential boundary conditions are imposed by the penalty method. The main advantage of this approach over the conventional meshless local Petrov-Galerkin (MLPG) method is its computational efficiency. Several numerical examples are presented to illustrate the implementation and performance of the present CVMLPG method.
Keywords:meshless method  complex variable moving least-square method  complex variable meshless local Petrov-Galerkin method  potential problems
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