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Analyzing three-dimensional potential problems with the improved element-free Galerkin method

机译:用改进的无元素Galerkin方法分析三维潜在问题

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The potential problem is one of the most important partial differential equations in engineering mathematics. A potential problem is a function that satisfies a given partial differential equation and particular boundary conditions. It is independent of time and involves only space coordinates, as in Poisson’s equation or the Laplace equation with Dirichlet, Neumann, or mixed conditions. When potential problems are very complex, both in their field variable variation and boundary conditions, they usually cannot be solved by analytical solutions. The element-free Galerkin (EFG) method is a promising 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 employing improved moving least-squares (IMLS) approximation, we derive the formulas for an improved element-free Galerkin (IEFG) method for three-dimensional potential problems. Because there are fewer coefficients in the 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, the IEFG method should result in a higher computing speed.
机译:潜在问题是工程数学中最重要的偏微分方程之一。潜在问题是满足给定偏微分方程和特定边界条件的函数。它与时间无关,并且仅涉及空间坐标,例如Poisson方程或具有Dirichlet,Neumann或混合条件的Laplace方程。当潜在问题非常复杂时,无论是在野外变量变化还是边界条件方面,它们通常都无法通过解析解来解决。无元素伽勒金(EFG)方法是解决偏微分方程的一种有前途的方法,在离散微分方程上,离散化过程中使用的试验和测试函数是通过移动最小二乘(MLS)插值产生的。在本文中,通过采用改进的移动最小二乘(IMLS)逼近,我们得出了针对三维潜在问题的改进的无元素Galerkin(IEFG)方法的公式。由于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方法应导致更高的计算速度。

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