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arXiv 1804.03358math.NAcs.CGcs.NA
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基于径向基函数插值和平滑的曲线网格自适应

Curvilinear Mesh Adaptation using Radial Basis Function Interpolation and Smoothing

Scientific Computing and Imaging Institute, University of Utah(犹他大学科学计算与成像研究所);Department of Mathematics, University of Utah(犹他大学数学系)

Vidhi Zala, Varun Shankar, Shankar P. Sastry, Robert M. Kirby

AI总结:

本文提出了一种基于径向基函数插值和平滑的迭代技术,用于从直边或其他曲线网格生成和平滑曲线网格。通过仅使用输入网格边界的散点作为插值问题的数据点,近似曲线输出网格内部和边界的坐标变形映射,从而生成高质量的变形域网格。

摘要:

我们提出了一种基于径向基函数(RBF)插值和平滑的新迭代技术,用于从直边或其他曲线网格生成和平滑曲线网格。我们的技术通过仅使用输入网格边界的散点作为插值问题的数据点,近似曲线输出网格内部和边界的坐标变形映射。我们的技术即使在变形映射奇异的情况下也能生成高质量的网格,这归功于基于修改RBF形状参数的新的迭代算法。由于使用了RBF插值,我们的技术可以应用于2D和3D曲线网格生成,而无需显著修改。

英文摘要:

We present a new iterative technique based on radial basis function (RBF) interpolation and smoothing for the generation and smoothing of curvilinear meshes from straight-sided or other curvilinear meshes. Our technique approximates the coordinate deformation maps in both the interior and boundary of the curvilinear output mesh by using only scattered nodes on the boundary of the input mesh as data sites in an interpolation problem. Our technique produces high-quality meshes in the deformed domain even when the deformation maps are singular due to a new iterative algorithm based on modification of the RBF shape parameter. Due to the use of RBF interpolation, our technique is applicable to both 2D and 3D curvilinear mesh generation without significant modification.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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