Anisotropic Hyperelastic Strain Energy Function for Carbon Fiber Woven Fabrics

Author:

Cai Renye123,Zhang Heng1,Lai Chenxiang4,Yu Zexin5,Zeng Xiangkun1,Wu Min1,Wang Yankun1ORCID,Huang Qisen1,Zhu Yiwei1,Kong Chunyu1

Affiliation:

1. School of Automobile and Transportation Engineering, Guangdong Polytechnic Normal University, Guangzhou 510665, China

2. Guangdong Bangda Industrial Co., Ltd., Zhongshan 528400, China

3. Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou 510641, China

4. Guangzhou Metro Design & Research Co., Ltd., Guangzhou 510010, China

5. Institute for Manufacturing Technologies of Ceramic Components and Composites (IMTCCC), University of Stuttgart, Allmandring 7b, 70569 Stuttgart, Germany

Abstract

The present paper introduces an innovative strain energy function (SEF) for incompressible anisotropic fiber-reinforced materials. This SEF is specifically designed to understand the mechanical behavior of carbon fiber-woven fabric. The considered model combines polyconvex invariants forming an integrity basisin polynomial form, which is inspired by the application of Noether’s theorem. A single solution can be obtained during the identification because of the relationship between the SEF we have constructed and the material parameters, which are linearly dependent. The six material parameters were precisely determined through a comparison between the closed-form solutions from our model and the corresponding tensile experimental data with different stretching ratios, with determination coefficients consistently reaching a remarkable value of 0.99. When considering only uniaxial tensile tests, our model can be simplified from a quadratic polynomial to a linear polynomial, thereby reducing the number of material parameters required from six to four, while the fidelity of the model’s predictive accuracy remains unaltered. The comparison between the results of numerical calculations and experiments proves the efficiency and accuracy of the method.

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Natural Science Foundation of Guangdong Province of China

Publisher

MDPI AG

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