Journal
INTERNATIONAL JOURNAL OF APPLIED MECHANICS
Volume 13, Issue 10, Pages -Publisher
WORLD SCIENTIFIC PUBL CO PTE LTD
DOI: 10.1142/S1758825121501118
Keywords
Improved interpolating moving least-squares method; nonsingular weight function; dimension splitting method; finite difference method; potential problem
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Funding
- National Natural Science Foundation of China [52004169]
- Natural Science Foundation of Shanxi Province [201901D211311]
- Shanxi Scholarship Council of China [2021-132]
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This paper presents an improved interpolating dimension splitting element-free Galerkin method for solving three-dimensional potential problems. Compared to other methods, it has the advantages of having fewer undetermined coefficients in the shape function and being able to directly enforce essential boundary conditions. The computational accuracy and efficiency of this method are better than existing methods, as demonstrated in numerical examples.
This paper proposes the improved interpolating dimension splitting element-free Galerkin (IIDSEFG) method based on the nonsingular weight function for three-dimensional (3D) potential problems. The core of the IIDSEFG method is to transform the 3D problem domain into a series of two-dimensional (2D) problem subdomains along the splitting direction. For the 2D problems on these 2D subdomains, the shape function is constructed by the improved interpolating moving least-squares (IIMLS) method based on the nonsingular weight function, and the finite difference method (FDM) is used to couple the discretized equations in the direction of splitting. Finally, the calculation formula of the IIDSEFG method for a 3D potential problem is derived. Compared with the improved element-free Galerkin (IEFG) method, the advantages of the IIDSEFG method are that the shape function has few undetermined coefficients and the essential boundary conditions can be executed directly. The results of the selected numerical examples are compared by the IIDSEFG method, IEFG method and analytical solution. These numerical examples illustrate that the IIDSEFG method is effective to solve 3D potential problems. The computational accuracy and efficiency of the IIDSEFG method are better than the IEFG method.
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