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A Fail-Safe Topology Optimization for Multiscale Structures

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1 National Engineering Research Center of Novel Equipment for Polymer Processing, the Key Laboratory of Polymer Processing Engineering of the Ministry of Education (South China University of Technology), Guangdong Provincial Key Laboratory of Technique and Equipment for Macromolecular Advanced Manufacturing, South China University of Technology, Guangzhou, 510641, China

* Corresponding Author: Yingjum Wang. Email: email

The International Conference on Computational & Experimental Engineering and Sciences 2024, 29(2), 1-1. https://doi.org/10.32604/icces.2024.011249

Abstract

Multiscale structures can be more robust to partial damage than solid structures. Inspired by this, a novel fail-safe topology optimization method is proposed for multiscale structures. Computational cost is reduced by simplifying the partial damage of the truss-like microstructure and polynomial function is used to fit the effective elasticity tensor obtained via the homogenization method. Moreover, Heaviside projection is applied to speed up the convergence and yield a relatively clear configuration. Numerical examples are tested to demonstrate the advantages of the optimized multiscale structures. Numerical examples are tested to demonstrate that the optimized multiscale structures successfully obtain comprehensive performances than optimized solid structures when appropriate microstructure configurations are chosen.

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APA Style
Yang, J., Wang, Y. (2024). A fail-safe topology optimization for multiscale structures. The International Conference on Computational & Experimental Engineering and Sciences, 29(2), 1-1. https://doi.org/10.32604/icces.2024.011249
Vancouver Style
Yang J, Wang Y. A fail-safe topology optimization for multiscale structures. Int Conf Comput Exp Eng Sciences . 2024;29(2):1-1 https://doi.org/10.32604/icces.2024.011249
IEEE Style
J. Yang and Y. Wang, “A Fail-Safe Topology Optimization for Multiscale Structures,” Int. Conf. Comput. Exp. Eng. Sciences , vol. 29, no. 2, pp. 1-1, 2024. https://doi.org/10.32604/icces.2024.011249



cc Copyright © 2024 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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