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Improved Element-free Galerkin Method For Two-dimensional Potential Problems

机译:二维势问题的改进无元素Galerkin方法

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Potential difficulties arise in connection with various physical and engineering problems in which the functions satisfy a given partial differential equation and particular boundary conditions. These problems are independent of time and involve only space coordinates, as in Poisson's equation or the Laplace equation with Dirichlet, Neuman, or mixed conditions. When the problems are too complex, they usually cannot be solved with analytical solutions. The element-free Galerkin (EFG) method is a meshless method for solving partial differential equations on which the trial and test functions employed in the discretization process result from moving least-squares (MLS) interpolants. In this paper, by using the weighted orthogonal basis function to construct the MLS interpolants, we derive the formulae of an improved EFG (IEFG) method for two-dimensional potential problems. There are fewer coefficients in the improved MLS (IMLS) approximation than in the MLS approximation, and in the IEFG method fewer nodes are selected in the entire domain than in the conventional EFG method. Hence, the IEFG method should result in a higher computing speed.
机译:与各种物理和工程问题有关的潜在困难出现,其中功能满足给定的偏微分方程和特定的边界条件。这些问题与时间无关,仅涉及空间坐标,如Poisson方程或具有Dirichlet,Neuman或混合条件的Laplace方程。当问题过于复杂时,通常无法通过分析解决方案来解决。无元素伽勒金(EFG)方法是一种无网格方法,用于求解偏微分方程,离散化过程中采用的试验和测试函数是通过移动最小二乘(MLS)插值得出的。在本文中,通过使用加权正交基函数构造MLS插值,我们推导了针对二维潜在问题的改进EFG(IEFG)方法的公式。改进的MLS(IMLS)近似中的系数比MLS近似中的系数少,并且在IEFG方法中,与传统EFG方法相比,在整个域中选择的节点更少。因此,IEFG方法将导致更高的计算速度。

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