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IGA Based Bi-Layer Fiber Angle Optimization Method for Variable Stiffness Composites

Chao Mei, Qifu Wang*, Chen Yu, Zhaohui Xia

School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China

* Corresponding Author: Qifu Wang. 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, 124(1), 179-202. https://doi.org/10.32604/cmes.2020.09948

Abstract

This paper presents a topology optimization method for variable stiffness composite panels with varying fiber orientation and curvilinear fiber path. Non-uniform rational B-Splines (NURBS) based Isogeometric analysis (IGA) is utilized for the numerical computation of the general minimum compliance problem. The sensitivity analysis of the structure compliance function for the density and bi-layer orientation is conducted. The bi-layer fiber paths in the design domain are generated using streamline method and updated by divided pieces reselection method after the optimization process. Several common examples are tested to demonstrate the effectiveness of the method. The results show that the proposed method can generate more manufacturable fiber paths than some typical topology optimization methods.

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APA Style
Mei, C., Wang, Q., Yu, C., Xia, Z. (2020). IGA based bi-layer fiber angle optimization method for variable stiffness composites. Computer Modeling in Engineering & Sciences, 124(1), 179-202. https://doi.org/10.32604/cmes.2020.09948
Vancouver Style
Mei C, Wang Q, Yu C, Xia Z. IGA based bi-layer fiber angle optimization method for variable stiffness composites. Comput Model Eng Sci. 2020;124(1):179-202 https://doi.org/10.32604/cmes.2020.09948
IEEE Style
C. Mei, Q. Wang, C. Yu, and Z. Xia "IGA Based Bi-Layer Fiber Angle Optimization Method for Variable Stiffness Composites," Comput. Model. Eng. Sci., vol. 124, no. 1, pp. 179-202. 2020. https://doi.org/10.32604/cmes.2020.09948

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cc 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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