Li Yutong, Fikry M J Mohammad, Koyanagi Jun
Department of Materials Science and Technology, Tokyo University of Science, 6-3-1 Niijuku, Katsushika-ku, Tokyo 125-8585, Japan.
Department of Mechanical Engineering, The University of Akron, 244 Sumner St., Akron, OH 44325-3903, USA.
Polymers (Basel). 2024 Oct 10;16(20):2857. doi: 10.3390/polym16202857.
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.
本研究旨在采用基于断裂疲劳熵(FFE)概念的方法,探讨载荷历史对碳纤维增强塑料(CFRP)中粘弹性聚合物基体过早失效的影响。利用作者在先前研究中开发的用户自定义子程序(UMAT),通过ABAQUS软件应用FFE损伤准则。基于传统的线性损伤累积方法(帕尔姆格伦 - 迈纳法则)设计了几种变幅载荷模式,包括频繁的载荷幅值变化和间歇性中断,并通过数值模拟获得了这些载荷作用下的疲劳寿命。结果表明,频繁的幅值变化以及即使是短暂的加载停顿都会加速损伤累积,导致聚合物基体过早失效。在这些情况下,疲劳寿命为使用帕尔姆格伦 - 迈纳法则预测值的33.6%至91.9%,显示出显著差异,并突出了预测疲劳寿命远低于预期的情况。本研究为预测复杂载荷条件下的疲劳寿命提供了一种更实用、可靠的方法。由于FFE准则的准确性在先前研究中已得到全面验证,本研究重点关注其在变载荷条件下预测失效的应用。