Numerical Simulation for Durability of a Viscoelastic Polymer Material Subjected to Variable Loadings Fatigue Based on Entropy Damage Criterion

被引:4
|
作者
Li, Yutong [1 ]
Fikry, M. J. Mohammad [2 ]
Koyanagi, Jun [1 ]
机构
[1] Tokyo Univ Sci, Dept Mat Sci & Technol, 6-3-1 Niijuku,Katsushika Ku, Tokyo 1258585, Japan
[2] Univ Akron, Dept Mech Engn, 244 Sumner St, Akron, OH 44325 USA
关键词
numerical simulation; viscoelastic polymer materials; fracture fatigue entropy (FFE); variable amplitude; fatigue life; OF-THE-ART; COMPOSITE-MATERIALS; FAILURE CRITERION; LIFE PREDICTION; THERMODYNAMICS; MODEL; MECHANICS; ENERGY;
D O I
10.3390/polym16202857
中图分类号
O63 [高分子化学(高聚物)];
学科分类号
070305 ; 080501 ; 081704 ;
摘要
This study aims to explore the impact of load history on the premature failure of the viscoelastic polymer matrix in carbon-fiber-reinforced plastics (CFRPs) using a method based on the concept of fracture fatigue entropy (FFE). A user-defined subroutine (UMAT) developed by the authors in previous studies was incorporated to apply the FFE damage criterion using ABAQUS software. Several variable-amplitude load modes, including frequent load amplitude changes and intermittent interruptions, were designed based on the conventional linear damage accumulation method (Palmgren-Miner rule), and the fatigue life under these loadings was obtained via numerical simulations. The results show that both frequent amplitude changes and even brief pauses in loading can accelerate damage accumulation, leading to premature failure of the polymer matrix. In these scenarios, the fatigue life ranged from 33.6% to 91.9% of the predictions made using the Palmgren-Miner rule, which shows significant variation and highlights cases in which the predicted fatigue life falls far short of expectations. This study offers a more practical and reliable approach for predicting fatigue life under complex loading conditions. Since the accuracy of the FFE criterion has been comprehensively validated in previous studies, this research focuses on its application to predict failure under variable loading conditions.
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页数:14
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