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基于BP神经网络的钢-混组合结构PBL剪力键承载力
引用本文:卫星,肖国亮.基于BP神经网络的钢-混组合结构PBL剪力键承载力[J].公路交通科技,2011(10):60-64.
作者姓名:卫星  肖国亮
作者单位:西南交通大学土木工程学院;
基金项目:国家自然科学基金项目(50808150)
摘    要:为实现钢-混组合结构PBL剪力键极限承载力的准确预测,通过分析既有推出试验结果,对PBL剪力键的作用机理及破坏模式进行总结,确定PBL剪力键纵向抗剪承载力的主要影响因素为开孔直径、钢板厚度、混凝土抗压强度、贯穿钢筋直径、钢板屈服强度等.以神经网络理论为基础,选用误差反向传播(BP)神经网络算法模型,选取钢板厚度、开孔直...

关 键 词:桥梁工程  钢-混组合结构  抗剪承载力  BP神经网络  PBL剪力键  受力行为

Shear Resistance of Perfobond Shear Connectors in Steel-concrete Composite Structure Based on BP Neural Network
WEI Xing,XIAO Guoliang.Shear Resistance of Perfobond Shear Connectors in Steel-concrete Composite Structure Based on BP Neural Network[J].Journal of Highway and Transportation Research and Development,2011(10):60-64.
Authors:WEI Xing  XIAO Guoliang
Institution:WEI Xing,XIAO Guoliang(School of Civil Engineering,Southwest Jiaotong University,Chengdu Sichuan 610031,China)
Abstract:In order to accurately evaluate ultimate shear resistance of perfobond(PBL) shear connectors in steel-concrete composite structure,the mechanism and breakage mode of PBL shear connectors were investigated based on the existing push-out test results.According to the push-out test results,longitudinal shear resistance of perfobond shear connectors depends on diameter of holes,thickness of steel plate,compressive strength of concrete,diameter of transverse rebar,yield strength of steel plate,etc.Based on neura...
Keywords:bridge engineering  steel-concrete composite structure  shear resistance  back propagation neural network  perfobond shear connector  mechanical behavior  
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