考虑不同刚度退化模式的碳纤维增强复合材料失效模型开发

doi:10.3901/JME.2024.02.197

摘要/Abstract

摘要： 对二维和三维Hashin失效判据以及Tan、Zinoviev和Tserpes刚度退化准则的特点进行比较分析，将二维Hashin失效判据与Tan刚度退化准则、三维Hashin失效判据分别与Tserpes刚度退化准则、Zinoviev刚度退化准则进行组合，提出三个失效模型CFRP-2HT、CFRP-3HT和CFRP-3HZ，并基于Abaqus软件进行子程序开发，用于提高碳纤维增强复合材料(Carbon fiber-reinforced polymer, CFRP)的数值仿真精度。通过带孔平板的单向拉伸和三点弯曲试验，对子程序的功能和精度进行了验证。结果表明：CFRP-2HT、CFRP-3HT与CFRP-3HZ三个失效模型预测的带孔CFRP层合板单向拉伸强度的精度分别为80%、89%、93%，预测的失效形式与试验结果一致。三个失效模型在刚度退化模式、是否具备分层失效的预测能力、计算精度与计算效率方面各有优势，其中CFRP-3HT模型计算精度最高，而CFRP-2HT计算效率最高。

关键词: 碳纤维复合材料, 失效模型, 刚度退化, 数值仿真

Abstract: Two common failure criteria and three stiffness degradation criteria are compared and analyzed to improve the numerical simulation accuracy of carbon fiber composites (CFRP). The improved Hashin failure criterion is combined with Tan stiffness degradation criterion, Zinoviev stiffness degradation criterion and Tserpes stiffness degradation criterion, respectively, and three failure models including CFRP-2HT, CFRP-3HT and CFRP-3HZ are proposed. Subroutines are developed based on Abaqus software. The function and accuracy of the subroutines are verified by the experiments of uniaxial tension and three-point bending. The results show that the accuracy of the three failure models in predicting the uniaxial tensile strength of CFRP laminates with holes is 80%, 89% and 93%, respectively. The simulated failure modes are consistent with the experimental results. The three failure models have their own advantages in stiffness degradation mode, whether they have the ability to predict delamination failure, calculation accuracy and calculation efficiency. Among which, the CFRP-3HT model has the highest precision while the CFRP-2HT model has the highest efficiency.

Key words: CFRP, failure model, stiffness degradation, numerical simulation

中图分类号:

TB33

余海燕, 贺宏伟, 邢萍. 考虑不同刚度退化模式的碳纤维增强复合材料失效模型开发[J]. 机械工程学报, 2024, 60(2): 197-208.

YU Haiyan, HE Hongwei, XING Ping. Development of Carbon Fiber Reinforced Plastic Failure Models Considering Different Stiffness Degradation Modes[J]. Journal of Mechanical Engineering, 2024, 60(2): 197-208.

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