Li Yutong, Deng Huachao, Takamura Maruri, Koyanagi Jun
Department of Materials Science and Technology, Tokyo University of Science, Tokyo 125-8585, Japan.
Materials (Basel). 2023 Oct 23;16(20):6821. doi: 10.3390/ma16206821.
Experimental methodologies for fatigue lifetime prediction are time-intensive and susceptible to environmental variables. Although the cohesive zone model is popular for predicting adhesive fatigue lifetime, entropy-based methods have also displayed potential. This study aims to (1) provide an understanding of the durability characteristics of carbon fiber-reinforced plastic (CFRP) adhesive joints by incorporating an entropy damage model within the context of the finite element method and (2) examine the effects of different adhesive layer thicknesses on single-lap shear models. As the thickness of the adhesive layer increases, damage variables initially increase and then decrease. These peak at 0.3 mm. This observation provides a crucial understanding of the stress behavior at the resin-CFRP interface and the fatigue mechanisms of the resin.
用于疲劳寿命预测的实验方法耗时且易受环境变量影响。尽管内聚区模型在预测胶粘剂疲劳寿命方面很受欢迎,但基于熵的方法也显示出潜力。本研究旨在:(1)通过在有限元方法的背景下纳入熵损伤模型,来理解碳纤维增强塑料(CFRP)胶接接头的耐久性特征;(2)研究不同胶粘剂层厚度对单搭接剪切模型的影响。随着胶粘剂层厚度的增加,损伤变量最初增加,然后减少。这些变量在0.3毫米处达到峰值。这一观察结果为理解树脂-CFRP界面处的应力行为和树脂的疲劳机制提供了关键认识。