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Multiresolution Isogeometric Topology Optimisation Using Moving Morphable Voids

by Bingxiao Du, Yong Zhao, Wen Yao, Xuan Wang, Senlin Huo

1 College of Aerospace Science and Engineering, National University of Defense Technology, Changsha, 410073, China.
2 National Innovation Institute of Defense Technology, Chinese Academy of Military Science, Beijing, 100000, China.
3 School of Civil Engineering, Hefei University of Technology, Hefei, 230009, China.

* Corresponding Author: Yong Zhao. Email: email.

(This article belongs to the Special Issue: Recent Developments of Isogeometric Analysis and its Applications in Structural Optimization)

Computer Modeling in Engineering & Sciences 2020, 122(3), 1119-1140. https://doi.org/10.32604/cmes.2020.08859

Abstract

A general and new explicit isogeometric topology optimisation approach with moving morphable voids (MMV) is proposed. In this approach, a novel multiresolution scheme with two distinct discretisation levels is developed to obtain high-resolution designs with a relatively low computational cost. Ersatz material model based on Greville abscissae collocation scheme is utilised to represent both the Young’s modulus of the material and the density field. Two benchmark examples are tested to illustrate the effectiveness of the proposed method. Numerical results show that high-resolution designs can be obtained with relatively low computational cost, and the optimisation can be significantly improved without introducing additional DOFs.

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APA Style
Du, B., Zhao, Y., Yao, W., Wang, X., Huo, S. (2020). Multiresolution isogeometric topology optimisation using moving morphable voids. Computer Modeling in Engineering & Sciences, 122(3), 1119-1140. https://doi.org/10.32604/cmes.2020.08859
Vancouver Style
Du B, Zhao Y, Yao W, Wang X, Huo S. Multiresolution isogeometric topology optimisation using moving morphable voids. Comput Model Eng Sci. 2020;122(3):1119-1140 https://doi.org/10.32604/cmes.2020.08859
IEEE Style
B. Du, Y. Zhao, W. Yao, X. Wang, and S. Huo, “Multiresolution Isogeometric Topology Optimisation Using Moving Morphable Voids,” Comput. Model. Eng. Sci., vol. 122, no. 3, pp. 1119-1140, 2020. https://doi.org/10.32604/cmes.2020.08859

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cc Copyright © 2020 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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