基于SVM的连续刚构桥施工阶段及使用阶段可靠度研究
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摘要
针对国内外许多桥梁在施工或者在已经使用的过程中发生的结构坍塌倾覆等现象,以湖北黄石市富水河大桥为工程背景,采用支持向量机(support vector machine,SVM)算法对桥梁结构施工阶段及使用阶段的可靠度进行计算分析.先通过试验得到桥梁施工现场C50混凝土材料性能随时间的变化规律,进而采用midal Civil软件建立连续刚构桥悬臂施工阶段和使用阶段的有限元模型,最后基于支持向量机分类算法对该连续刚构桥梁施工阶段的标高控制可靠度以及使用阶段中的可靠度进行计算分析.结果表明,混凝土弹性模量随着养护时间呈非线性变化,选用幂函数来拟合变化规律最合时宜.
In view of the collapse and overturning of many bridges at home and abroad during construction and service stages,taking Fushui River Bridge in Huangshi City,Hubei Province as the research object,support vector machine(SVM)algorithm was used to calculate and analyze the reliability of the bridge structure in the construction and service stages.The change rule of C50 concrete material performance with time on the bridge construction site was obtained through experiments,and the finite element model of continuous rigid frame bridge cantilever construction stage and service stage was established by MIDAS/Civil software.Finally,based on the classification algorithm of support vector machine,the reliability of elevation control in the construction phase and the reliability in the use phase of the continuous rigid frame bridge were calculated and analyzed.The results show that the elastic modulus of concrete changes nonlinearly with curing time,and it is most appropriate to use power function to fit the change rule.
In view of the collapse and overturning of many bridges at home and abroad during construction and service stages,taking Fushui River Bridge in Huangshi City,Hubei Province as the research object,support vector machine(SVM)algorithm was used to calculate and analyze the reliability of the bridge structure in the construction and service stages.The change rule of C50 concrete material performance with time on the bridge construction site was obtained through experiments,and the finite element model of continuous rigid frame bridge cantilever construction stage and service stage was established by MIDAS/Civil software.Finally,based on the classification algorithm of support vector machine,the reliability of elevation control in the construction phase and the reliability in the use phase of the continuous rigid frame bridge were calculated and analyzed.The results show that the elastic modulus of concrete changes nonlinearly with curing time,and it is most appropriate to use power function to fit the change rule.
引文
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[2]张崎.基于Krijing方法的结构可靠性分析及优化设计[D].大连:大连理工大学,2005.
[3]GOMES H M,AWRUCH A M.Comparison of response surface and neural network with other methods for structural reliability analysis[J].Structural Safety,2004,26(1):49-67.
[4]DENG J,GU D S,LI X B,et al.Structural reliability analysis for implicit performance functions using artificial neural network[J].Structural Safety,2005,27(1):25-48.
[5]CORTEX C,VAPNIK V.Support-vector networks[J].Machine Learning,1995,20(3):273-297.
[6]邓乃扬,田英杰.支持向量机:理论算法与拓展[M].北京:科学出版社,2009.
[7]张明.结构可靠度分析:方法与程序[M].北京:科学出版社,2009.
[8]陈林海.基于Kriging响应面法的刚构桥及连续梁桥可靠度分析[D].广州:华南理工大学,2013.
[9]中华人民共和国交通部.公路钢筋混凝土及预应力混凝土桥涵设计规范:JTG D62-2012.[S].北京:人民交通出版社,2012.
[10]李桂毅,胡明华,张洪海.基于FCM-SVM方法的时空航路网交通状态识别研究[J].武汉理工大学学报(交通科学与工程版),2018,42(4):569-573,578.
[11]何博文,周伟,赖敏芝.大跨度钢桁梁斜拉桥车辆荷载动力效应研究[J].交通科技,2018(6):17-20,24.
[12]张云,刘涛.考虑抗弯刚度的悬索桥短吊索索力识别[J].交通科技,2018(5):69-70.