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具有质量保证的特征敏感四面体网格生成

Feature-Sensitive Tetrahedral Mesh Generation with Guaranteed Quality.

作者信息

Wang Jun, Yu Zeyun

机构信息

Department of Computer Science, University of Wisconsin, Milwaukee, WI 53211, USA.

出版信息

Comput Aided Des. 2012 May 1;44(5):400-412. doi: 10.1016/j.cad.2012.01.002.

Abstract

Tetrahedral meshes are being extensively used in finite element methods (FEM). This paper proposes an algorithm to generate feature-sensitive and high-quality tetrahedral meshes from an arbitrary surface mesh model. A top-down octree subdivision is conducted on the surface mesh and a set of tetrahedra are constructed using adaptive body-centered cubic (BCC) lattices. Special treatments are given to the tetrahedra near the surface such that the quality of the resulting tetrahedral mesh is provably guaranteed: the smallest dihedral angle is always greater than 5.71°. The meshes generated by our method are not only adaptive from the interior to the boundary, but also feature-sensitive on the surface with denser elements in high-curvature regions where geometric feature most likely reside. A variety of experimental results are presented to demonstrate the effectiveness and robustness of this algorithm.

摘要

四面体网格在有限元方法(FEM)中得到了广泛应用。本文提出了一种从任意表面网格模型生成特征敏感且高质量四面体网格的算法。对表面网格进行自上而下的八叉树细分,并使用自适应体心立方(BCC)晶格构建一组四面体。对靠近表面的四面体进行特殊处理,从而可证明所得到的四面体网格的质量得到保证:最小二面角始终大于5.71°。我们的方法生成的网格不仅从内部到边界具有适应性,而且在表面上对特征敏感,在最可能存在几何特征的高曲率区域具有更密集的单元。给出了各种实验结果以证明该算法的有效性和鲁棒性。

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