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Natural neighbour Petrov-Galerkin Method for Shape Design Sensitivity Analysis

Kai Wang1, Shenjie Zhou1,2, Zhifeng Nie1, Shengli Kong1

School of Mechanical Engineering, Shandong University, No.73 Jingshi Road, Jinan, 250061, P. R. China
Corresponding author. Email: zhousj@sdu.edu.cn

Computer Modeling in Engineering & Sciences 2008, 26(2), 107-122. https://doi.org/10.3970/cmes.2008.026.107

Abstract

The natural neighbour Petrov-Galerkin method (NNPG) is one of the special cases of the generalized meshless local Petrov-Galerkin method (MLPG). This paper demonstrates the NNPG can be successfully used in design sensitivity analysis in 2D elasticity. The design sensitivity analysis method based on the local weak form (DSA-LWF) in the NNPG context is proposed. In the DSA-LWF, the local weak form of governing equation is directly differentiated with respect to design variables and discretized with NNPG to obtain the sensitivities of structural responds. The calculation of derivatives of shape functions with respect to design variables is avoided. No background meshes are needed to integrate the weak form, no assembly process is needed to generate the global stiffness matrix and no user-defined parameters are used as well. Three numerical examples are solved using DSA-LWF and the results show the proposed method gives very accurate solutions for these problems.

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Cite This Article

APA Style
Wang, K., Zhou, S., Nie, Z., Kong, S. (2008). Natural neighbour petrov-galerkin method for shape design sensitivity analysis. Computer Modeling in Engineering & Sciences, 26(2), 107-122. https://doi.org/10.3970/cmes.2008.026.107
Vancouver Style
Wang K, Zhou S, Nie Z, Kong S. Natural neighbour petrov-galerkin method for shape design sensitivity analysis. Comput Model Eng Sci. 2008;26(2):107-122 https://doi.org/10.3970/cmes.2008.026.107
IEEE Style
K. Wang, S. Zhou, Z. Nie, and S. Kong "Natural neighbour Petrov-Galerkin Method for Shape Design Sensitivity Analysis," Comput. Model. Eng. Sci., vol. 26, no. 2, pp. 107-122. 2008. https://doi.org/10.3970/cmes.2008.026.107



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