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A robust 2-refinement algorithm in octree or rhombic dodecahedral tree based all-hexahedral mesh generation

机译:基于八面体或六面体十二面体树的全六面体网格生成的鲁棒2精化算法

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摘要

In this paper, we present a novel 2-refinement algorithm for adaptive all-hexahedral mesh generation based on two tree structures: octree or rhombic dodecahedral tree. Given a smooth boundary surface, we first use a pre-defined error function to detect the main surface features, and build a strongly-balanced octree. Then a novel 2-refinement algorithm is developed to eliminate all hanging nodes in the octree, which is robust for any unstructured meshes and induces a smooth transition with very little propagation. Later, all elements outside and around the boundary are removed to create the octree core mesh and a buffer zone. The boundary points on the core mesh are projected onto the surface and form the final mesh. Motivated from nature, a new tree structure based on rhombic dodecahedron is introduced. Sharp features are also detected and preserved during mesh generation. Finally, pillowing, geometric flow and optimization-based smoothing are applied to improve quality of the constructed meshes.
机译:在本文中,我们提出了一种新颖的2-细化算法,用于基于两种树结构(八叉树或菱形十二面体树)的自适应全六面体网格生成。给定光滑的边界表面,我们首先使用预定义的误差函数来检测主要表面特征,并建立一个高度平衡的八叉树。然后,开发了一种新颖的2-精简算法来消除八叉树中的所有悬挂节点,这对于任何非结构化网格都是健壮的,并且能够以很小的传播量实现平滑过渡。以后,边界外和边界周围的所有元素都将被删除,以创建八叉树核心网格和缓冲区。核心网格上的边界点投影到曲面上并形成最终网格。从自然的动机出发,介绍了一种基于菱形十二面体的新型树结构。在网格生成过程中也会检测到并保留清晰的特征。最后,应用枕形,几何流和基于优化的平滑来提高所构造网格的质量。

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