Efficient and Robust Parallel Mesh Motion Solver Using Radial Basis Functions
Publication: Journal of Aerospace Engineering
Volume 31, Issue 3
Abstract
This paper presents a parallel mesh deformation solver using radial basis function (RBF) interpolation. The solver computes the displacement of each internal point independently without using the topological relations, and is further accelerated by an incremental approach based on the data reduction algorithm. The incremental approach makes full use of the matrix and solution of the previous step during the greedy selection procedure, and gives a better initial solution of the current RBF system of equations. To enhance the robustness and efficiency of the solver in parallel, for nonpredefined boundary movement, each CPU process computes the same interpolation function; for predefined movement, an additional process can be used to calculate the interpolation function one step earlier and broadcast it to other processes. Four typical mesh motion cases are simulated to demonstrate the deforming capability and parallel performance of the proposed method. Finally, several parametric setting rules of the deformation approach are presented for better usage.
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Acknowledgments
This paper was supported by the National Natural Science Foundation of China under Grants Nos. 11502296, 61772542, and 61561146395; the Foundation of National University of Defense Technology under Grant No. ZDYYJCYJ20140101; the Open Research Program of China State Key Laboratory of Aerodynamics under Grant No. SKLA20160104; and the Defense Industrial Technology Development Program under Grant No. C1520110002.
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Published In
Journal of Aerospace Engineering
Volume 31 • Issue 3 • May 2018
Copyright
©2018 American Society of Civil Engineers.
History
Received: Oct 6, 2017
Accepted: Feb 2, 2018
Published online: Mar 8, 2018
Published in print: May 1, 2018
Discussion open until: Aug 8, 2018
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