1 Multiscale simulation and theoretical prediction for the elastic properties of unidirectional fiber-reinforced polymer containing random void defects Yantao Chu a,b,c,d , Lingyu Sun a,b,c,d, *, Xudong Yang a,b,c,d , Jinxi Wang a,b,c,d , Wei Huang a,b,c,d a School of Transportation Science and Engineering, Beihang University, Beijing 100191, China b Lightweight Vehicle Innovation Center, Beihang University, Beijing 100191, China c Beijing Key Laboratory for High-efficient Power Transmission and System Control of New Energy Resource Vehicle, Beihang University, Beijing 100191, China d Beijing Hangshu Vehicle Data Research Insititute Co., Ltd, Beijing 100062, China Abstract Polymer-matrix composites are widely used in various industries due to their high specific strength and specific stiffness. However, the void formation is inevitable as a by-product during manufacturing processes, which may have negative effects on its mechanical properties. The purposes of this paper are to quantitatively evaluate the influence of voids on the anisotropic elastic properties of composites and to provide corresponding theoretical prediction models. First, three-dimensional representative volume elements (RVE) of fiber-reinforced composite materials with different fiber contents (36.37%, 45.47%, 50.92%) and different void contents (1%, 3%, 5%, 7%) are established. To obtain the elastic properties in different directions, various periodic boundary conditions are applied to the RVE models and corresponding subroutines are developed by ABAQUS-PYTHON. Second, a series of theoretical models are proposed to quickly predict the anisotropic elastic properties of unidirectional fiber/epoxy composites containing random-sized void defects, which agree well with the finite element simulation results. Especially, the proposed models have concise expressions which require only a few parameters to be input, and hence they are convenient for engineering application. Both theoretical and numerical results show
Multiscale simulation and theoretical prediction for the elastic properties of unidirectional fiber-reinforced polymer containing random void defects
Jun 04, 2023
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