预制装配式型钢混凝土梁抗剪承载力的智能模型研究  

The Shear Capacity Intelligent Model for Prefabricated Steel Reinforced Concrete Beams

作　　者：刘坚[1,2] 招渝 刘长江 马宏伟[3] 邢增林 周观根 肖海鹏 彭林苗 任达[1,2] 陈原[1,2] 童华炜[1,2] 戚玉亮 杨勤鹏 张专涛 LIU Jian;ZHAO Yu;LIU Changjiang;MA Hongwei;XING Zenglin;ZHOU Guangen;XIAO Haipeng;PENG Linmiao;REN Da;CHEN Yuan;TONG Huawei;QI Yuliang;YANG Qinpeng;ZHANG Zhuantao(School of Civil Engineering,Guangzhou University,Guangzhou 510006,China;Guangdong Engineering Technology Research Center for Complex Steel Structures,Guangzhou University,Guangzhou 510006,China;School of Civil Engineering and Transportation,South China University of Technology,Guangzhou 510641,China;Guangdong Architectural Design&Research Institute Co.,Ltd.,Guangzhou 510010,China;Zhejiang Southeast Space Frame Co.,Ltd.,Hangzhou 311209,China;Guangzhou Construction Industry Research Institute Co.,Ltd.,Guangzhou 510653,China;Hangxiao Steel Structure(Guangdong)Co.,Ltd.,Zhuhai 519055,China)

机构地区：[1]广州大学土木工程学院,广州510006 [2]广州大学广东省复杂钢结构工程技术研究中心,广州510006 [3]华南理工大学土木与交通学院,广州510641 [4]广东省建筑设计研究院有限公司,广州510010 [5]浙江东南网架股份有限公司,杭州311209 [6]广州建筑产业研究院有限公司,广州510653 [7]杭萧钢构(广东)有限公司,广东珠海519055

出　　处：《建筑钢结构进展》2024年第3期12-20,共9页Progress in Steel Building Structures

基　　金：国家自然科学基金(51678168);广东省自然科学基金(2017A030313267);广州市科技计划项目(201607010107);广东省应用型科技研发重大专项资金(2015B020238014);广建装配式建筑成套技术研究(19C00001)-装配式型钢混凝土新型组合结构体系成套技术体系研发(19C00001-2)。

摘　　要：通过建立计算预制装配式型钢混凝土(PSRC)梁抗剪承载力的智能模型,在一定程度上提高了计算精度与适用性。基于BP人工神经网络算法,通过对影响PSRC梁抗剪承载力的相关参数进行梳理,选取14个主要影响参数作为输入层,以试算法确定隐含层节点数为5,初步构建了3层结构人工神经网络系统;以收集的76组试验数据作为学习样本,对构建的神经网络系统进行训练,建立了对PSRC梁及SRC梁抗剪承载力计算的N14-5-1智能模型。使用智能模型对6个PSRC梁构件及6个SRC梁构件进行抗剪承载力计算,并通过与规范公式计算结果、试验结果的对比分析,证明了智能模型具有良好的计算精度及较好的泛化能力,具有一定的工程参考意义。运用Garson算法对输入参数进行敏感性分析,结果表明箍筋间距、型钢屈服强度、箍筋屈服强度、型钢腹板含钢率对抗剪承载力影响较大。随着研究试验的开展,在收集更多具有代表性的试验数据以扩充学习样本后,可对智能模型进一步优化。By establishing an intelligent model for calculating the shear capacity of prefabricated steel reinforced concrete(PSRC)beams,the calculation accuracy and applicability are improved.After combing through the parameters that affect the shear bearing capacity of PSRC beams,14 main influencing parameters were selected.Based on the BP artificial neural network algorithm,with 14 main influencing parameters as the input layer,a three-layer artificial neural network system was initially constructed,using a trial-and-error method to determine that the number of nodes in the hidden layer is 5.With 76 groups of experimental data collected as learning samples,the neural network system was trained,and the N14-5-1 intelligent model for calculating the shear capacity of PSRC beams and SRC beams was established.The shear capacity of six PSRC beams and six SRC beams were calculated by using the intelligent model.The comparison between the calculation results of the standard formula and the test results proves that the intelligent model has a good calculation accuracy and good generalization ability,which has a certain engineering reference significance.The Garson algorithm is used to analyze the sensitivity of input parameters.The results show that the stirrup distance,steel yield strength,stirrup yield strength and steel ratio of section web have more influence on the shear capacity.With the development of the research and experiment,the intelligent model can be further optimized after collecting more representative experimental data to expand the learning sample.

关 键 词：预制装配式型钢混凝土梁 BP人工神经网络 抗剪承载力 智能模型 

分 类 号：TU398.9[建筑科学—结构工程]