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基于改进响应面法的在役PC桥梁承载力可靠性
引用本文:邬晓光,李冀弘,宋伟伟.基于改进响应面法的在役PC桥梁承载力可靠性[J].长安大学学报(自然科学版),2012,32(3):53-57.
作者姓名:邬晓光  李冀弘  宋伟伟
作者单位:1. 长安大学公路学院,陕西西安,710064
2. 陕西省高速公路建设集团公司,陕西西安,710054
基金项目:河北省交通科技计划重点项目(2007-Y080129)
摘    要:提出改进响应面法研究在役PC桥梁承载力可靠性问题。利用神经网络模型拟合功能函数,采用JC法计算出桥梁结构构件的可靠指标,并进行了可靠性分析。工程实例分析表明:该方法建立的神经网络模型能够显示化表示复杂的桥梁承载力功能函数;随着使用年限的增长,桥梁上部结构的可靠指标计算值逐渐减小,说明上部结构抗力出现衰减;应用改进响应面法对在役PC桥梁承载力的可靠性计算是可行的。

关 键 词:桥梁工程  PC桥梁  神经网络技术  响应面法  承载力  可靠性

Reliability of existing PC bridge based on improved response surface method
WU Xiao-guang,LI Ji-hong,SONG Wei-wei.Reliability of existing PC bridge based on improved response surface method[J].JOurnal of Chang’an University:Natural Science Edition,2012,32(3):53-57.
Authors:WU Xiao-guang  LI Ji-hong  SONG Wei-wei
Institution:1(1.School of Highway,Chang’an University,Xi’an 710064,Shaanxi,China; 2.Shaanxi Province Freeway Construction Croup Company,Xi’an 710054,Shaanxi,China)
Abstract:The method of improvement response surface was put forward to study the reliability assessment on existing PC bridge.By using the neural network model fitting function,the reliability index was calculated with JC method and the reliability analysis was done for bridge structure component.An engineering case analysis shows that the neural network model can express the complex bearing capacity function easily.The reliability index of the upper structure calculation value gradually decreases along with the increase of using years,which explains the bridge’s resistance degradation.The reliability calculation of bearing capacity of PC bridge by using the method is feasible.
Keywords:bridge engineering  PC bridge  neural network technology  response surface method  bearing capacity  reliability
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