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Delaunay Graph Based Inverse Distance Weighting for Fast Dynamic Meshing

Part of: Numerical approximation and computational geometry Algorithms - Computer Science

Published online by Cambridge University Press:  27 March 2017

Yibin Wang ,
Ning Qin  and
Ning Zhao
Yibin Wang*
Affiliation:
College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, 29 Yudao Road Nanjing 210016, China
Ning Qin*
Affiliation:
Department of Mechanical Engineering, The University of Sheffield, Sheffield S1 3JD, UK
Ning Zhao*
Affiliation:
College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, 29 Yudao Road Nanjing 210016, China
*
*Corresponding author. Email addresses:[email protected] (Y. Wang), [email protected] (N. Qin), [email protected] (N. Zhao)
*Corresponding author. Email addresses:[email protected] (Y. Wang), [email protected] (N. Qin), [email protected] (N. Zhao)
*Corresponding author. Email addresses:[email protected] (Y. Wang), [email protected] (N. Qin), [email protected] (N. Zhao)
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Abstract

A novel mesh deformation technique is developed based on the Delaunay graph mapping method and the inverse distance weighting (IDW) interpolation. The algorithm maintains the advantages of the efficiency of Delaunay graph mapping mesh deformation while it also possesses the ability of better controlling the near surface mesh quality. The Delaunay graph is used to divide the mesh domain into a number of sub-domains. On each sub-domain, the inverse distance weighting interpolation is applied, resulting in a similar efficiency as compared to the fast Delaunay graph mapping method. The paper will show how the near-wall mesh quality is controlled and improved by the new method

Keywords

Dynamic meshinverse distance weightingDelaunay graph mapping

MSC classification

Secondary: 65D18: Computer graphics, image analysis, and computational geometry 68U05: Computer graphics; computational geometry 68W99: None of the above, but in this section
Type
Research Article
Information
Communications in Computational Physics , Volume 21 , Issue 5 , May 2017 , pp. 1282 - 1309
Copyright
Copyright © Global-Science Press 2017 

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