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Topological Design of Structures Using a Cellular Automata Method

by Yixian Du1, De Chen1, Xiaobo Xiang1, Qihua Tian1, Yi Zhang1

College of Mechanical & Material Engineering, China Three Gorges University, Yichang 443002.
Hubei Key Laboratory of Hydroelectric Machinery Design & Maintenance, Yichang 443002.
Corresponding Author.
Tel: +86-717-6397560; Fax: +86-717-6397559; Email: duyixian@aliyun.com
Collaborative Innovation Center for Energy Equipment of Three Gorges Region, China Three Gorges University, Yichang 443002, China.

Computer Modeling in Engineering & Sciences 2013, 94(1), 53-75. https://doi.org/10.3970/cmes.2013.094.053

Abstract

Topological design of continuum structures usually involves numerical instabilities, such as checkerboards and mesh-dependency, which degenerate the manufacturability, the efficiency and the robustness of the optimal design. This paper will propose a new topology optimization method to suppress numerical instabilities occurred in the topology optimization of continua, according to the principle of error amplifier and feedback control in the control system. The design variables associated with topological design are updated based on the Cellular Automata (CA) theory. A couple of typical numerical examples are used to demonstrate the effectiveness of the proposed method in effectively suppressing numerical instabilities occurred in the numerical procedure of topology optimization.

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Cite This Article

APA Style
Du, Y., Chen, D., Xiang, X., Tian, Q., Zhang, Y. (2013). Topological design of structures using a cellular automata method. Computer Modeling in Engineering & Sciences, 94(1), 53-75. https://doi.org/10.3970/cmes.2013.094.053
Vancouver Style
Du Y, Chen D, Xiang X, Tian Q, Zhang Y. Topological design of structures using a cellular automata method. Comput Model Eng Sci. 2013;94(1):53-75 https://doi.org/10.3970/cmes.2013.094.053
IEEE Style
Y. Du, D. Chen, X. Xiang, Q. Tian, and Y. Zhang, “Topological Design of Structures Using a Cellular Automata Method,” Comput. Model. Eng. Sci., vol. 94, no. 1, pp. 53-75, 2013. https://doi.org/10.3970/cmes.2013.094.053



cc Copyright © 2013 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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