Ma Huidong, Bai Xuezong, Ran Yawei, Wei Xubing, An Zongwen
School of Mechanical and Electrical Engineering, Lanzhou University of Technology, Lanzhou 730050, China.
Polymers (Basel). 2022 Jul 6;14(14):2772. doi: 10.3390/polym14142772.
Fatigue life models are widely used to predict the fatigue behavior at arbitrary cycle counts of composite structures subjected to cyclic or highly dynamic loads. However, their predictive capacity and determination of model parameters are strongly dependent on loading conditions and large experimental efforts. This research aims to develop a new model which uses a single model parameter to predict the variation trend and distribution pattern of fatigue experimental data points subjected to different stress ratios, loading frequencies and fiber orientations. Validation of the model with several sets of experimental data shows that the proposed model is capable of adequately considering the effects of stress ratio, loading frequency and fiber orientation on the fatigue behavior of composite materials and correctly predicting the variation trend of the experimental data points using only one set of model parameters regardless of stress ratios, loading frequencies and fiber orientations.
疲劳寿命模型被广泛用于预测承受循环或高动态载荷的复合材料结构在任意循环次数下的疲劳行为。然而，它们的预测能力和模型参数的确定强烈依赖于加载条件，并且需要大量的实验工作。本研究旨在开发一种新模型，该模型使用单个模型参数来预测在不同应力比、加载频率和纤维取向条件下疲劳实验数据点的变化趋势和分布模式。用几组实验数据对该模型进行验证表明，所提出的模型能够充分考虑应力比、加载频率和纤维取向对复合材料疲劳行为的影响，并且仅使用一组模型参数就能正确预测实验数据点的变化趋势，而不受应力比、加载频率和纤维取向的影响。
