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Smoothing Algorithm for Tetrahedral Meshes by Error-Based Quality Metric

Authors: Shuli Sun; Haoran Bao; Minghui Liu;

Smoothing Algorithm for Tetrahedral Meshes by Error-Based Quality Metric

Abstract

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.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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