中国物理B ›› 2012, Vol. 21 ›› Issue (10): 100208-100208.doi: 10.1088/1674-1056/21/10/100208

• GENERAL • 上一篇    下一篇

The complex variable meshless local Petrov–Galerkin method of solving two-dimensional potential problems

杨秀丽, 戴保东, 张伟伟   

  1. Department of Engineering Mechanics, Taiyuan University of Science & Technology, Taiyuan 030024, China
  • 收稿日期:2012-02-28 修回日期:2012-03-22 出版日期:2012-09-01 发布日期:2012-09-01
  • 基金资助:
    Project supported by the Young Scientists Fund of the National Natural Science Foundation of China (Grant No. 11102125).

The complex variable meshless local Petrov–Galerkin method of solving two-dimensional potential problems

Yang Xiu-Li (杨秀丽), Dai Bao-Dong (戴保东), Zhang Wei-Wei (张伟伟)   

  1. Department of Engineering Mechanics, Taiyuan University of Science & Technology, Taiyuan 030024, China
  • Received:2012-02-28 Revised:2012-03-22 Online:2012-09-01 Published:2012-09-01
  • Contact: Dai Bao-Dong E-mail:Dai_baodong@126.com
  • Supported by:
    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

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.

Key words: meshless method, complex variable moving least-square method, complex variable meshless local Petrov-Galerkin method, potential problems

中图分类号:  (Numerical approximation and analysis)

  • 02.60.-x
02.70.Pt (Boundary-integral methods) 02.70.-c (Computational techniques; simulations) 46.25.-y (Static elasticity)