基于人工神经网络的沙牌RCC拱坝可靠度分析  

Reliability of Shapai RCC Arch Dam Based on ANN Method

作　　者：陈刚 张林[2] 何显松[2] 陈建叶[2] 王习武 

机构地区：[1]国电大渡河流域水电开发有限公司,四川成都610016 [2]四川大学水电学院,四川成都610065 [3]成都长途汽车运输公司,四川成都610071

出　　处：《四川大学学报（工程科学版）》2002年第4期34-37,共4页Journal of Sichuan University (Engineering Science Edition)

基　　金：九五国家科技攻关资助项目 ( 96 2 2 0 0 2 0 1)

摘　　要：为解决拱坝可靠度分析中响应与荷载及参数间难以用显示函数表示的问题 ,将非线性分析中的人工神经网络方法应用于含诱导缝的高碾压混凝土拱坝的结构可靠度分析。计算得出沙牌拱坝上下游坝面及诱导缝结点的可靠度指标β,进一步完善和补充了“九五”国家科技攻关的内容 。Application of ANN method for the reliability analysis of high RCC arch dam with induced joints, which is the country's tackling project in 'Ninth-Five-Year', solves the problem to dormant function relation between loads and response. The β of the dam and induced joints is calculated with the method. Probability analysis supplements and completes the tackling contents, provides reference for engineering design and construction as well.

关 键 词：人工神经网络 ANN算法 RCC拱坝 可靠度分析 断裂韧度 高碾压混凝拱坝 沙牌拱坝 

分 类 号：TV642.4[水利工程—水利水电工程]