Improved point selection method for hybrid-unstructured mesh deformation using radial basis functions

Gang Wang, Haris Hameed Mian, Zheng Yin Ye, Jen Der Lee

Research output: Contribution to journalArticlepeer-review

75 Scopus citations

Abstract

In this paper, an efficient mesh deformation technique for hybrid-unstructured grids, based on radial basis functions, has been developed. The principle procedure adopted for this scheme can be divided into two steps. First, a series of radial basis functions are constructed by an interpolation method according to the displacements of moving boundary points. Later, the displacements of all points in the computation domain are determined by the aforementioned radial basis function series. To improve the efficiency, data reduction should be introduced into the interpolation process. Consequently, a multilevel subspace radial basis function interpolation method based on a "double-edged" greedy algorithm is presented to create an approximate interpolation for all moving boundary points. This method is computationally efficient, preserves orthogonality, and has no dependency on the type of flow solver. Typical deformation problems of a LANN wing, DLR-F6 wing-body-nacelle-pylon configuration and DLR-F11 high-lift configuration with hybrid-unstructured grid are selected as the test cases for demonstration of the current implementation. Results show that the present mesh deformation method has good efficiency and robustness for large and complex deformation problems.

Original languageEnglish
Pages (from-to)1016-1025
Number of pages10
JournalAIAA Journal
Volume53
Issue number4
DOIs
StatePublished - 2015

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