基于数据驱动和物理模型的CFRP-钢界面黏结性能研究

RESEARCH ON BONDING PERFORMANCE PREDICATION OF CFRP- STEEL INTERFACES BASED ON DATA DRIVING AND PHYSICAL MODELING

  • 摘要: 外贴碳纤维增强复合材料(carbon fiber-reinforced polymer material, CFRP)补强体系中,保证加固效果的关键是确保CFRP-钢界面的黏结性能,其主要通过界面极限承载力进行表征。已有大量基于断裂力学和试验结果的半理论预测模型,其精度和适用范围受到试验条件和试验结果数量的影响。建立了一个包含587条样本的CFRP-钢搭接接头拉伸剪切试验的数据库,基于XGBoost算法构建预测CFRP-钢界面破坏模式的模型;引入先验物理知识,建立物理数据双驱动的CFRP-钢界面极限承载力预测模型;采用SHAP方法和PDP方法对模型的输入特征和输出结果进行可解释性分析。模型预测精度较高,破坏模式预测准确率为97.95%、极限承载力预测拟合系数R2为0.944,RMSE为4.829,可为CFRP加固钢结构提供有效参考。

     

    Abstract: In retrofitting systems with external bonded carbon fiber-reinforced polymer (CFRP) materials, the interfacial performance between CFRP and steel plays an important role in the strengthening efficiency which is mainly characterized by the ultimate load bearing capacity. Semi-empirical prediction models with fracture mechanics and test results have been proposed. Accuracy and feasibility of these models are affected by experimental conditions and the number of experimental results. In this study, a database of bond strength comprising of 587 CFRP-to-steel single/double-lap shear joints was first collected. A prediction model for the failure mode of CFRP-to-steel interfaces based on the XGBoost algorithm was proposed. With prior physical knowledge involved, a prediction model for the ultimate load bearing capacity of CFRP-to-steel interfaces was established through a physics and data dual-driven method. The input characteristics and output results of the models were analyzed for interpretability using the Shapley Additive Explanations (SHAP) and Partial dependence Plot (PDP) methods. The models exhibited reasonable results, with the accuracy of 97.95% for failure mode predictions, as well as the fitting coefficient R2 of 0.944 and RMSE of 4.829 for ultimate load bearing capacity predictions. This study provides useful suggestions for the analysis of CFRP strengthened steel structures.

     

/

返回文章
返回