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。
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.
出处
《长安大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2012年第3期53-57,共5页
Journal of Chang’an University(Natural Science Edition)
基金
河北省交通科技计划重点项目(2007-Y080129)
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
bridge engineering
PC bridge
neural network technology
response surface method
bearing capacity
reliability
