Predicting the capacity of perfobond rib shear connector using an ANN model and GSA method

作     者：Guorui SUN Jun SHI Yuang DENG Guorui SUN;Jun SHI;Yuang DENG

作者机构：School of Civil EngineeringCentral South UniversityChangsha 410075China Key Laboratory of Structures Dynamic Behavior and Control of the Ministry of EducationHarbin Institute of TechnologyHarbin 150090China National Engineering Laboratory for High-Speed Railway ConstructionChangsha 410075China 

出 版 物：《Frontiers of Structural and Civil Engineering》 (结构与土木工程前沿（英文版）)

年 卷 期：2022年第16卷第10期

页      面：1233-1248页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：perfobond rib shear connector shear strength ANN model global sensitivity analysis 

摘      要：Due to recent advances in the field of artificial neural networks(ANN)and the global sensitivity analysis(GSA)method,the application of these techniques in structural analysis has become feasible.A connector is an important part of a composite beam,and its shear strength can have a significant impact on structural *** this paper,the shear performance of perfobond rib shear connectors(PRSCs)is predicted based on the back propagation(BP)ANN model,the Genetic Algorithm(GA)method and GSA method.A database was created using push-out test test and related references,where the input variables were based on different empirical formulas and the output variables were the corresponding shear *** results predicted by the ANN models and empirical equations were compared,and the factors affecting shear strength were examined by the GSA *** results show that the use of ANN model optimization by GA method has fewer errors compared to the empirical ***,penetrating reinforcement has the greatest sensitivity to shear performance,while the bonding force between steel plate and concrete has the least sensitivity to shear strength.