4.7 Article

The interpolating dimension splitting element-free Galerkin method for 3D potential problems

Journal

ENGINEERING WITH COMPUTERS
Volume 38, Issue SUPPL 4, Pages 2703-2717

Publisher

SPRINGER
DOI: 10.1007/s00366-021-01408-5

Keywords

Meshless method; Dimension splitting method; Improved interpolating moving least-squares method; Finite difference method; Interpolating dimension splitting element-free Galerkin method; Potential problem

Funding

  1. National Natural Science Foundation of China [11571223]

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This paper proposes the IDSEFG method for 3D potential problems, which utilizes 2D subdomain splitting and the improved IMLS method to construct shape functions, obtains discretized equations using the dimension splitting method, couples subdomains through the finite difference method, and can directly enforce essential boundary conditions.
In this paper, based on the improved interpolating moving least-squares (IMLS) method and the dimension splitting method, the interpolating dimension splitting element-free Galerkin (IDSEFG) method for three-dimensional (3D) potential problems is proposed. The key of the IDSEFG method is to split a 3D problem domain into many related two-dimensional (2D) subdomains. The shape function is constructed by the improved IMLS method on the 2D subdomains, and the Galerkin weak form based on the dimension splitting method is used to obtain the discretized equations. The discrete equations on these 2D subdomains are coupled by the finite difference method. Take the improved element-free Galerkin (IEFG) method as a comparison, the advantage of the IDSEFG method is that the essential boundary conditions can be enforced directly. The effects of the number of nodes, the direction of dimension splitting, and the parameters of the influence domain on the calculation accuracy are studied through four numerical examples, the numerical solutions of the IDSEFG method are compared with the numerical solutions of the IEFG method and the analytical solutions. It is verified that the numerical solutions of the IDSEFG method are highly consistent with the analytical solution, and the calculation efficiency of this method is significantly higher than that of the IEFG method.

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