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An Element Decomposition Method for the Helmholtz Equation

Published online by Cambridge University Press:  02 November 2016

Gang Wang*
Affiliation:
State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha, 410082, P.R. China Collaborative Innovation Center of Intelligent New Energy Vehicle, Shanghai, 200092, P.R. China
Xiangyang Cui*
Affiliation:
State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha, 410082, P.R. China Collaborative Innovation Center of Intelligent New Energy Vehicle, Shanghai, 200092, P.R. China
Guangyao Li*
Affiliation:
State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha, 410082, P.R. China Collaborative Innovation Center of Intelligent New Energy Vehicle, Shanghai, 200092, P.R. China
*
*Corresponding author. Email addresses:[email protected] (G. Wang), [email protected] (X. Y. Cui), [email protected] (G. Y. Li)
*Corresponding author. Email addresses:[email protected] (G. Wang), [email protected] (X. Y. Cui), [email protected] (G. Y. Li)
*Corresponding author. Email addresses:[email protected] (G. Wang), [email protected] (X. Y. Cui), [email protected] (G. Y. Li)
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Abstract

It is well-known that the traditional full integral quadrilateral element fails to provide accurate results to the Helmholtz equation with large wave numbers due to the “pollution error” caused by the numerical dispersion. To overcome this deficiency, this paper proposed an element decomposition method (EDM) for analyzing 2D acoustic problems by using quadrilateral element. In the present EDM, the quadrilateral element is first subdivided into four sub-triangles, and the local acoustic gradient in each sub-triangle is obtained using linear interpolation function. The acoustic gradient field of the whole quadrilateral is then formulated through a weighted averaging operation, which means only one integration point is adopted to construct the system matrix. To cure the numerical instability of one-point integration, a variation gradient item is complemented by variance of the local gradients. The discretized system equations are derived using the generalized Galerkin weakform. Numerical examples demonstrate that the EDM can achieves better accuracy and higher computational efficiency. Besides, as no mapping or coordinate transformation is involved, restrictions on the shape elements can be easily removed, which makes the EDM works well even for severely distorted meshes.

Type
Research Article
Copyright
Copyright © Global-Science Press 2016 

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