多边形网格
计算机科学
数学优化
有限元法
公制(单位)
基质(化学分析)
选择(遗传算法)
欧拉路径
放松(心理学)
体积网格
算法
网格生成
计算科学
应用数学
数学
拉格朗日
人工智能
工程类
计算机图形学(图像)
结构工程
社会心理学
运营管理
心理学
复合材料
材料科学
作者
Veselin Dobrev,Patrick Knupp,Tzanio Kolev,Ketan Mittal,Vladimir Tomov
标识
DOI:10.48550/arxiv.1807.09807
摘要
We describe a framework for controlling and improving the quality of high-order finite element meshes based on extensions of the Target-Matrix Optimization Paradigm (TMOP) of Knupp. This approach allows high-order applications to have a very precise control over local mesh quality, while still improving the mesh globally. We address the adaption of various TMOP components to the settings of general isoparametric element mappings, including the mesh quality metric in 2D and 3D, the selection of sample points and the solution of the resulting mesh optimization problem. We also investigate additional practical concerns, such as tangential relaxation and restricting the deviation from the original mesh. The benefits of the new high-order TMOP algorithms are illustrated on a number of test problems and examples from a high-order arbitrary Eulerian-Lagrangian (ALE) application. Our implementation is freely available in an open-source library form.
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