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Bilateral Filter for the Optimization of Composite Structures

Yuhang Huo1, Ye Tian1, Shiming Pu1, Tielin Shi1, Qi Xia1,2,*

1 State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China
2 State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, Dalian, China

* Corresponding Author: Qi Xia. Email: email

(This article belongs to the Special Issue: New Trends in Structural Optimization)

Computer Modeling in Engineering & Sciences 2021, 127(3), 1087-1099. https://doi.org/10.32604/cmes.2021.015694

Abstract

In the present study, we propose to integrate the bilateral filter into the Shepard-interpolation-based method for the optimization of composite structures. The bilateral filter is used to avoid defects in the structure that may arise due to the gap/overlap of adjacent fiber tows or excessive curvature of fiber tows. According to the bilateral filter, sensitivities at design points in the filter area are smoothed by both domain filtering and range filtering. Then, the filtered sensitivities are used to update the design variables. Through several numerical examples, the effectiveness of the method was verified.

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APA Style
Huo, Y., Tian, Y., Pu, S., Shi, T., Xia, Q. (2021). Bilateral filter for the optimization of composite structures. Computer Modeling in Engineering & Sciences, 127(3), 1087-1099. https://doi.org/10.32604/cmes.2021.015694
Vancouver Style
Huo Y, Tian Y, Pu S, Shi T, Xia Q. Bilateral filter for the optimization of composite structures. Comput Model Eng Sci. 2021;127(3):1087-1099 https://doi.org/10.32604/cmes.2021.015694
IEEE Style
Y. Huo, Y. Tian, S. Pu, T. Shi, and Q. Xia, “Bilateral Filter for the Optimization of Composite Structures,” Comput. Model. Eng. Sci., vol. 127, no. 3, pp. 1087-1099, 2021. https://doi.org/10.32604/cmes.2021.015694



cc Copyright © 2021 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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