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Solving Elliptical Equations in 3D by Means of an Adaptive Refinement in Generalized Finite Differences

机译:借助于有限差分中的自适应细化法求解3D椭圆方程

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摘要

We apply a 3D adaptive refinement procedure using meshless generalized finite difference method for solving elliptic partial differential equations. This adaptive refinement, based on an octree structure, allows adding nodes in a regular way in order to obtain smooth transitions with different nodal densities in the model. For this purpose, we define an error indicator as stop condition of the refinement, a criterion for choosing nodes with the highest errors, and a limit for the number of nodes to be added in each adaptive stage. This kind of equations often appears in engineering problems such as simulation of heat conduction, electrical potential, seepage through porous media, or irrotational flow of fluids. The numerical results show the high accuracy obtained.
机译:我们使用无网格广义有限差分法应用3D自适应细化程序来求解椭圆形偏微分方程。基于八叉树结构的这种自适应优化允许以规则的方式添加节点,以便在模型中获得具有不同节点密度的平滑过渡。为此,我们将错误指示符定义为优化的停止条件,选择具有最高错误的节点的标准以及每个自适应阶段要添加的节点数的限制。这种方程式经常出现在工程问题中,例如热传导模拟,电势,通过多孔介质的渗漏或流体的非旋转流动。数值结果表明获得了较高的精度。

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