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Smoothing Algorithm for Tetrahedral Meshes by Error-Based Quality Metric

机译:基于误差的质量度量四面体网格平滑算法

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摘要

Smoothing or geometrical optimization is one of basic procedures to improve the quality of mesh. This paper first introduces an error-based mesh quality metric based on the concept of optimal Delaunay triangulations, and then examines the smoothing scheme which minimizes the interpolation error among all triangulations with the same number of vertices. Facing to its deficiency, a modified smoothing scheme and corresponding optimization model for tetrahedral mesh that avoid illegal elements are proposed. The optimization model is solved by integrating chaos search and BFGS (Broyden-Fletcher-Goldfarb-Shanno) algorithm efficiently. Quality improvement for tetrahedral mesh is realized through alternately applying the smoothing approach suggested and topological optimization technique. Testing results show that the proposed approach is effective to improve mesh quality and suitable for combining with topological technique.
机译:平滑或几何优化是提高网格质量的基本步骤之一。本文首先介绍基于最佳Delaunay三角剖分的概念的基于误差的网格质量度量,然后研究使顶点数量相同的所有三角剖分中的插值误差最小的平滑方案。针对其不足,提出了一种避免非法元素的改进的四面体网格平滑方案和相应的优化模型。通过集成混沌搜索和BFGS(Broyden-Fletcher-Goldfarb-Shanno)算法有效地解决了优化模型。通过交替使用建议的平滑方法和拓扑优化技术,可以实现四面体网格的质量改善。测试结果表明,该方法可有效提高网格质量,适合与拓扑技术相结合。

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