Hexahedral-dominant meshing

Dmitry Sokolov, N. Ray, L. Untereiner, B. Lévy
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引用次数: 5

Abstract

This article introduces a method that generates a hexahedral-dominant mesh from an input tetrahedral mesh. It follows a three-step pipeline similar to the one proposed by Carrier Baudoin et al.: (1) generate a frame field, (2) generate a pointset P that is mostly organized on a regular grid locally aligned with the frame field, and (3) generate the hexahedral-dominant mesh by recombining the tetrahedra obtained from the constrained Delaunay triangulation of P. For step (1), we use a state-of-the-art algorithm to generate a smooth frame field. For step (2), we introduce an extension of Periodic Global Parameterization to the volumetric case. As compared with other global parameterization methods (such as CubeCover), our method relaxes some global constraints to avoid creating degenerate elements, at the expense of introducing some singularities that are meshed using non-hexahedral elements. For step (3), we build on the formalism introduced by Meshkat and Talmor, fill in a gap in their proof, and provide a complete enumeration of all the possible recombinations, as well as an algorithm that efficiently detects all the matches in a tetrahedral mesh. The method is evaluated and compared with the state of the art on a database of examples with various mesh complexities, varying from academic examples to real industrial cases. Compared with the method of Carrier-Baudoin et al., the method results in better scores for classical quality criteria of hexahedral-dominant meshes (hexahedral proportion, scaled Jacobian, etc.). The method also shows better robustness than CubeCover and its derivatives when applied to complicated industrial models.
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Hexahedral-dominant啮合
本文介绍了一种由输入四面体网格生成六面体优势网格的方法。它遵循与Carrier Baudoin等人提出的类似的三步流程:(1)生成帧域,(2)生成主要组织在与帧域局部对齐的规则网格上的点集P,以及(3)通过重组P的约束Delaunay三角剖分得到的四面体来生成六面体主导网格。对于第(1)步,我们使用最先进的算法来生成光滑的帧域。对于步骤(2),我们将周期全局参数化的扩展引入到体积情况。与其他全局参数化方法(如CubeCover)相比,我们的方法放宽了一些全局约束,以避免创建退化元素,但代价是引入了一些使用非六面体元素进行网格划分的奇异点。对于步骤(3),我们建立在Meshkat和Talmor引入的形式主义的基础上,填补了他们证明中的空白,并提供了所有可能重组的完整枚举,以及有效检测四面体网格中所有匹配的算法。该方法在具有各种网格复杂性的示例数据库上进行了评估和比较,这些示例从学术示例到实际工业案例不等。与Carrier-Baudoin等人的方法相比,该方法在六面体优势网格的经典质量标准(六面体比例、缩放雅可比矩阵等)上得分更高。当应用于复杂的工业模型时,该方法的鲁棒性优于CubeCover及其衍生物。
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