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A Topology Optimization of Moderately Thick Plates Based on the Meshless Numerical Method

S.L. Li1,2, S.Y. Long1, G.Y. Li1

State Key Laboratory of Advanced Design and Manufacture for Vehicle Body, Hunan University, Changsha, 410082, China
Corresponding author. E-mail: shunlili66@163.com.

Computer Modeling in Engineering & Sciences 2010, 60(1), 73-94. https://doi.org/10.3970/cmes.2010.060.073

Abstract

A new implementation of topology optimization for the plate described by the Reissner-Mindlin theory based on the meshless natural neighbour Petrov-Galerkin method (NNPG) is proposed in this work. The objective is to produce the stiffest plate for a given volume by redistributing the material throughout the plate. We try to couple the advantages of the meshless numerical method with the topology optimization of moderately thick plate. The numerical approach presented here is based on the solid isotropic material with penalization (SIMP) formulation of the topology optimization problem. The natural neighbour interpolation shape function is employed to discretize both displacement and bulk density fields. Several examples are provided to illustrate the validity and effectiveness of the proposed method.

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APA Style
Li, S., Long, S., Li, G. (2010). A topology optimization of moderately thick plates based on the meshless numerical method. Computer Modeling in Engineering & Sciences, 60(1), 73-94. https://doi.org/10.3970/cmes.2010.060.073
Vancouver Style
Li S, Long S, Li G. A topology optimization of moderately thick plates based on the meshless numerical method. Comput Model Eng Sci. 2010;60(1):73-94 https://doi.org/10.3970/cmes.2010.060.073
IEEE Style
S. Li, S. Long, and G. Li, “A Topology Optimization of Moderately Thick Plates Based on the Meshless Numerical Method,” Comput. Model. Eng. Sci., vol. 60, no. 1, pp. 73-94, 2010. https://doi.org/10.3970/cmes.2010.060.073



cc Copyright © 2010 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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