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Adaptive Grid Generation Based on the Least-Squares Finite-Element Method

机译:基于最小二乘有限元方法的自适应网格生成

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摘要

Approximate solutions of a partial differential equation become inaccurate if they are computed on a fixed grid that is not sufficiently fine in regions of the domain where the variables change rapidly For time dependent problems, special features of a partial differential equation and their location could change in time as well. Thus, adaptive grid methods are necessary. In this paper, we develop an adaptive deformation method based on the least-squares finite-element method (LSFEM). A main advantage of this method as compared to the existing deformation method is its ability to generate adaptive grids on domains with moving boundary. It computes the node velocity from a div-curl system according to an error indicator (monitor function), and then moves the nodes to new locations so that the size of the new grid cells can be directly controlled. In this method, the connectivity of the nodes is unchanged if the grid quality is acceptable. Otherwise, various optimization procedures can be applied after node movements to improve grid quality. The grid formed becomes refined in regions where the solution error is large.
机译:如果偏微分方程的近似解是在变量变化迅速的域区域中不够精细的固定网格上计算的,则它们将变得不准确。对于与时间相关的问题,偏微分方程的特殊特征及其位置可能会变化。时间也是如此。因此,自适应网格方法是必要的。在本文中,我们开发了一种基于最小二乘有限元方法(LSFEM)的自适应变形方法。与现有的变形方法相比,此方法的主要优点是能够在具有移动边界的区域上生成自适应网格。它根据错误指示器(监视功能)从div-curl系统计算节点速度,然后将节点移动到新位置,以便可以直接控制新网格单元的大小。在这种方法中,如果网格质量可以接受,则节点的连接性不变。否则,可以在节点移动之后应用各种优化程序以提高网格质量。所形成的网格在求解误差较大的区域变得精细。

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