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αMST: A Robust Unified Algorithm for Quadrilateral Mesh Adaptation

机译:αmst:一种用于四边形网格自适应的强大统一算法

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Mesh adaptation plays a critical role in balancing computational efficiency and numerical accuracy. Three types of mesh adaptation techniques exist today, namely, mesh improvement, mesh refinement and mesh simplification, and for each of these, several strategies have been proposed. Most of these strategies yield acceptable geometric mesh quality but provide limited control over topological quality. In this paper, we introduce a unified algorithm for all three types of mesh adaptation for quadrilateral meshes. The algorithm builds upon the Minimum Singularity Templates (MST) idea proposed by the authors for improving the topological quality of a quadrilateral mesh. The MST is extended here to define the concept of an orMST where a single parameter or controls mesh adaptation: α = 1 for mesh improvement, α > 1 for mesh refinement, and α < 1 for mesh simplification. The proposed algorithm generates mesh with high geometric and topological qualities. Further, it is non-hierarchical and stateless, and yet it provides an arbitrary level of mesh adaptation. Finally, since cyclic chords can play an important role in quadrilateral mesh adaptation, we provide a simple constructive algorithm to insert such chords using the orMST. Several examples are presented that demonstrate the robustness, efficiency, and versatility of the proposed concept and algorithm.
机译:网适应起着平衡计算效率和计算精度的关键作用。三种类型的网格自适应技术存在的今天,即网格改进,网格细化和网格简化,并为每一种,几种策略已经被提出。大多数这些策略的产生可接受的几何网格质量但提供对拓扑质量有限的控制。在本文中,我们介绍了所有这三种类型的四边形网格的网格适应的统一的算法。该算法是建立在为提高四边形网格拓扑质量提出了作者的最低奇异模板(MST)的想法。的MST此处延伸,以限定orMST的概念,其中一个单一的参数或控制网孔适配:α= 1用于网格改进,α> 1网格细化,α<1的网格简化。所提出的算法产生具有高的几何和拓扑品质啮合。此外,非分层和无状态的,但它提供了网格适配的任意水平。最后,由于循环和弦可以起到四边形网格适应了重要的作用,我们提供了一个简单的构造型算法插入使用orMST这样的和弦。几个例子都演示的鲁棒性,效率和所提出的概念和算法的通用性。

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