Generation of adaptive hexahedral meshes from surface and voxel geometric models

IF 0.6 Q3 MATHEMATICS
A.S. Karavaev, S.P. Kopysov
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引用次数: 0

Abstract

We present a modification of the developed hexahedral mesh generator from voxel data which allows constructing adaptive computational meshes. Construction of the refinement field is based on geometry features of the described model when it has a large thickness difference in dimensions or small and thin areas. A universal criterion for cells refinement is proposed which gives the possibility of its use in the case of volumetric (voxel) and surface (STL) representations of the model geometry. The refinement templates that provide conformal mesh closure are described. The results of the algorithm performance are given.
从表面和体素几何模型生成自适应六面体网格
我们提出了一种改进的六面体网格生成器从体素数据,允许构建自适应计算网格。细化场的构建基于所描述模型的几何特征,当其尺寸厚度差较大或面积又小又薄时。提出了一个通用的细胞细化标准,这使得它在模型几何的体积(体素)和表面(STL)表示的情况下使用的可能性。描述了提供保形网格闭合的细化模板。最后给出了算法的性能测试结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.20
自引率
40.00%
发文量
27
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