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Adaptive and quality quadrilateral/hexahedral meshing from volumetric data

机译:体积数据的自适应和高质量四边形/六面体网格划分

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This paper describes an algorithm to extract adaptive and quality quadrilateral/hexahedral meshes directly from volumetric data. First, a bottom-up surface topology preserving octree-based algorithm is applied to select a starting octree level. Then the dual contouring method is used to extract a preliminary uniform quad/hex mesh, which is decomposed into finer quads/hexes adaptively without introducing any hanging nodes. The positions of all boundary vertices are recalculated to approximate the boundary surface more accurately. Mesh adaptivity can be controlled by a feature sensitive error function, the regions that users are interested in, or finite element calculation results. Finally, a relaxation based technique is deployed to improve mesh quality. Several demonstration examples are provided from a wide variety of application domains. Some extracted meshes have been extensively used in finite element simulations.
机译:本文介绍了一种直接从体积数据中提取自适应和质量四边形/六面体网格的算法。首先,应用自底向上的基于拓扑保留八叉树的算法来选择起始八叉树级别。然后使用双重轮廓法提取初步的均匀四边形/十六进制网格,在不引入任何悬挂节点的情况下,将其自适应地分解为更精细的四边形/六边形。重新计算所有边界顶点的位置,以更准确地近似边界表面。网格自适应性可以通过特征敏感误差函数,用户感兴趣的区域或有限元计算结果进行控制。最后,采用基于松弛的技术来改善网格质量。从广泛的应用领域中提供了几个演示示例。一些提取的网格已广泛用于有限元模拟中。

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