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Refinement strategies related to cubic tetrahedral meshes

机译:与立方四面体网格有关的细化策略

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The paper deals with refinement techniques suitable for application of finite element multigrid methods with cubic trial functions. The 27-refinement strategy by Edelsbrunner and Grayson has not been studied from computational point of view up to now. This refinement strategy is said to be dark red refinement strategy (DRRS) by analogy with the red refinement strategy in the quadratic case. A detail analysis of DRRS is an aim of this paper. The dependence of the DRRS on the numbering of vertex nodes requires an algorithm development. Freudenthal partition of the cube has been widely used by researchers for obtaining hierarchical tetrahedral triangulations. In the cubic case, the refinement of the first Sommerville tetrahedron is of considerable practical importance. Since the DRRS generates one class of similarity only with a particular numbering of nodes, we have developed a detailed algorithm for proper implementation of this numbering. The situation is much more complicated when an arbitrary tetrahedron is refined. A large volume of computations are necessary in order to be established a correct numbering of the vertex nodes. If the best numbering of nodes is not chosen for all elements in all levels, the measure of degeneracy tends to infinity when the number of levels grows up unlimited. To avoid these difficulties a new canonical refinement strategy (CRS) is obtained. The CRS is superior compared to the 27-partition technique with respect to the degeneracy measure. It generates only regular tetrahedra and canonical simplices in all levels and for all mixed domains. These two tetrahedra are the most convenient from a computational point of view. Moreover, for all mixed domains the CRS essentially reduces the number of congruence classes. The new refinement strategy does not need an algorithm for correct numbering of the vertex nodes. The DRRS generates a very complicated refinement tree and a higher measure of degeneracy in combination with the face centered partition of the cube. On the contrary the Z refinement strategy obtained by the authors is superior than the DRRS in regard to the number of congruence classes and the measure of degeneracy. Some results on boundary value problems in changing domains are discussed. The advantages of the CRS are demonstrated by solving an anisotropic diffusion problem in a shrinking domain. The behavior of discretization and truncation errors in approximate finite element solutions is illustrated by varying sequences of finite element triangulations. (C) 2018 IMACS. Published by Elsevier B.V. All rights reserved.
机译:本文探讨了适用于具有三次试验函数的有限元多重网格方法的细化技术。从计算的角度来看,Edelsbrunner和Grayson提出的27精炼策略尚未得到研究。类似于二次方情况下的红色精炼策略,此精炼策略被称为暗红色精炼策略(DRRS)。本文旨在对DRRS进行详细分析。 DRRS对顶点节点编号的依赖性需要算法开发。研究人员已广泛使用立方体的Freudenthal分区来获得分层的四面体三角剖分。在立方情况下,第一个Sommerville四面体的改进具有相当大的实际重要性。由于DRRS仅对特定编号的节点生成一类相似性,因此我们开发了一种详细算法来正确实现此编号。当精制任意四面体时,情况要复杂得多。为了建立正确的顶点节点编号,必须进行大量计算。如果未为所有级别中的所有元素选择最佳的节点编号,则当级别数无限增长时,退化的度量将趋于无穷大。为了避免这些困难,获得了一种新的规范改进策略(CRS)。就简并度而言,CRS比27分区技术优越。它仅在所有级别和所有混合域中生成规则的四面体和规范单纯形。从计算的角度来看,这两个四面体是最方便的。此外,对于所有混合域,CRS实质上减少了一致性类的数量。新的细化策略不需要为顶点节点正确编号的算法。 DRRS与多维数据集的以面为中心的分区结合使用会生成非常复杂的细化树和更高的简并度度量。相反,在一致性类的数量和退化的度量方面,作者获得的Z细化策略优于DRRS。讨论了关于变化域中的边值问题的一些结果。通过解决收缩域中的各向异性扩散问题,证明了CRS的优势。通过改变有限元三角剖分的序列来说明近似有限元解中离散化和截断误差的行为。 (C)2018年IMACS。由Elsevier B.V.发布。保留所有权利。

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