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Optimal Finite Element Mesh Refinement Based on A-posteriori Error Estimator and the Quality of Mesh

机译:基于后验误差估计的最优有限元网格细化与网格质量

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A two-level optimal mesh refinement method for h-version finite element analysis of partial differential equations is presented based on both an a-posteriori error indicator and the geometrical quality of mesh. The first level is to refine the meshes on which the a-posteriori error indicators are relatively higher than the others. The error indicators are obtained by simplifying the computation of error bounds which are obtained by solving elemental Neumann type sub problems with the averaged flux for the consistency of the Neumann problems. The simplification of computation means that the functional space on the mesh uniformly refined with only half size of the coarse mesh is chosen as the test functional space in the elemental residual form of error equations, thus the cost for computing the error indicators is very low. After refinement, some refined triangles will become poorly shaped or distorted, then the second level is to move the meshes to improve their geometrical quality with Laplacian smoothing algorithm. A Laplace problem is computed to verify this method and the results show that the refined mesh obtained by both the a-posteriori error indicator and mesh smoothing gives the optimal convergence and more accuracy for the results.
机译:基于后验误差指标和网格的几何质量,提出了一种用于偏微分方程h版本有限元分析的二级最优网格细化方法。第一级是优化后验误差指标相对高于其他指标的网格。通过简化误差界限的计算来获得误差指标,误差界限的计算是通过用平均通量求解基本Neumann型子问题而获得的,以求Neumann问题的一致性。计算的简化意味着以误差方程的元素残差形式选择仅用粗网格的一半大小均匀细化的网格上的函数空间作为测试函数空间,因此计算误差指标的成本非常低。细化后,一些细化的三角形将变得形状不佳或变形,然后第二个步骤是移动网格以使用Laplacian平滑算法提高其几何质量。计算了一个拉普拉斯问题以验证该方法,结果表明,通过后验误差指示符和网格平滑获得的精炼网格为结果提供了最佳收敛性和更高的准确性。

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