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Analysis of and workarounds for element reversal for a finite element-based algorithm for warping triangular and tetrahedral meshes

机译:基于有限元的三角形和四面体网格变形算法的元素反转分析和解决方法

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We consider an algorithm called FEMWARP for warping triangular and tetrahedral finite element meshes that computes the warping using the finite element method itself. The algorithm takes as input a two- or three-dimensional domain defined by a boundary mesh (segments in one dimension or triangles in two dimensions) that has a volume mesh (triangles in two dimensions or tetrahedra in three dimensions) in its interior. It also takes as input a prescribed movement of the boundary mesh. It computes as output updated positions of the vertices of the volume mesh. The first step of the algorithm is to determine from the initial mesh a set of local weights for each interior vertex that describes each interior vertex in terms of the positions of its neighbors. These weights are computed using a finite element stiffness matrix. After a boundary transformation is applied, a linear system of equations based upon the weights is solved to determine the final positions of the interior vertices.rnThe FEMWARP algorithm has been considered in the previous literature (e.g., in a 2001 paper by Baker). FEMWARP has been successful in computing deformed meshes for certain applications. However, sometimes FEMWARP reverses elements; this is our main concern in this paper. We analyze the causes for this undesirable be-rnhavior and propose several techniques to make the method more robust against reversals. The most successful of the proposed methods includes combining FEMWARP with an optimization-based untangler.
机译:我们考虑一种称为FEMWARP的用于变形三角形和四面体有限元网格的算法,该算法使用有限元方法本身来计算变形。该算法将由边界网格(一维的分段或二维的三角形)定义的二维或三维域作为输入,该边界网格的内部具有体积网格(二维的三角形或三维的四面体)。它还将边界网格的规定运动作为输入。它将体积网格顶点的更新位置计算为输出。该算法的第一步是从初始网格确定每个内部顶点的一组局部权重,该局部权重根据其内部邻居的位置描述每个内部顶点。这些权重是使用有限元刚度矩阵计算的。应用边界变换后,求解基于权重的线性方程组以确定内部顶点的最终位置。在以前的文献中(例如,在Baker的2001年论文中)已经考虑了FEMWARP算法。 FEMWARP已成功地为某些应用计算了变形网格。但是,有时FEMWARP会颠倒元素。这是我们本文主要关注的问题。我们分析了这种不良行为的原因,并提出了几种技术,以使该方法对逆转更为鲁棒。所提出的方法中最成功的方法包括将FEMWARP与基于优化的分解器相结合。

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