用整数线性程序简化六边形网格的奇异结构

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Junyi Duan , Xiaopeng Zheng , Na Lei , Zhongxuan Luo
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引用次数: 0

摘要

六面体网格的拓扑优化一直是一个被广泛研究的课题,其主要目标是优化奇异结构。以前的工作主要集中在通过折叠薄片/和弦来简化复杂的奇点结构。然而,这些工程需要在过程中进行大量的检查,以防止非法操作。此外,所采用的简化策略不是基于结构的拓扑特征,而是基于可以简化的组件的秩。为了克服这些问题,我们分析了拓扑操作对六边形网格边缘度的影响,并引入了一种快速、自动的算法来简化六边形网格的奇异结构。该算法依赖于表操作,使用网格体积作为衡量简化程度的指标。此外,该算法还设计了约束以防止非法操作,并采用整数线性规划对网格进行整体优化策略规划。之后,我们放宽奇点约束,进一步简化结构,并通过膨胀操作处理不合理的奇点。通过调整奇异点约束条件,可以在不合并奇异点的情况下改善奇异点结构。大量实验证明了该算法的有效性和高效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Singularity structure simplification for hex mesh via integer linear program

Singularity structure simplification for hex mesh via integer linear program

Topology optimization of hexahedral (hex) meshes has been a widely studied topic, with the primary goal of optimizing the singularity structure. Previous works have focused on simplifying complex singularity structures by collapsing sheets/chords. However, these works require a large number of checks during the process to prevent illegal operations. Moreover, the employed simplification strategies are not based on the topological characteristics of the structure, but rather on the rank of the components that can be simplified. To overcome these problems, we analyze how topology operations affect the degree of edges in hex meshes, and introduce a fast and automatic algorithm to simplify the singularity structure of hex meshes. The algorithm relies on sheet operations, using mesh volume as a metric to assess the degree of simplification. Moreover, it designs constraints to prevent illegal operations and employs integer linear program to plan the overall optimization strategy for a mesh. After that, we relax the singularity constraints to further simplify the structure, and handle unreasonable singularities via sheet inflation operation. Our algorithm can also improve singularity structure without merging singularities by adjusting the singularity constraint conditions. Numerous experiments demonstrate the effectiveness and efficiency of our algorithm.

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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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