基于BP网络的钢筋混凝土结构时变可靠度  

The time dependent reliability of reinforced concrete structures based on BP network method

作　　者：屠艳平[1] 管昌生[1] 谭浩[2] 

机构地区：[1]武汉理工大学土木工程与建筑学院,湖北武汉430070 [2]武汉工程大学环境与城市建设学院,湖北武汉430074

出　　处：《武汉工程大学学报》2008年第3期36-39,共4页Journal of Wuhan Institute of Technology

基　　金：湖北省自然科学基金资助项目(2005ABA285)

摘　　要：运用人工神经网络来预测混凝土中钢筋的锈蚀量,考虑锈蚀后钢筋屈服强度的下降及钢筋与混凝土间粘结力降低两个因素,建立钢筋混凝土梁抗力模型,并用于钢筋混凝土时变可靠度分析中.这种方法原理简单,计算方便,且精度较高.The resistance model of beam based on decreasing of yielding strength of strength of steel and concrete is build through prediction of corrosion of steel with and the resistance model is used in the time dependent reliability analysis of steel Analysis shows the method is simple and the result is satisfactory. steel and connection BP neural network, concrete structure.

关 键 词：神经网络 钢筋锈蚀 时变可靠度 计算方法 

分 类 号：TU375[建筑科学—结构工程]