清江隔河岩大坝混凝土弹性模量的智能反演  

Intelligent method for back analysis of elastic modulus of concrete

作　　者：邓凤铭[1] 田斌[1] 徐卫超[1] 

机构地区：[1]三峡大学土木水电学院,湖北宜昌443002

出　　处：《大坝与安全》2005年第4期50-52,共3页Dam & Safety

基　　金：湖北省教育厅重点项目(2002A530007)

摘　　要：本文基于隔河岩工程原型监测资料,首先利用逐步回归得出统计模型,再利用有限元结构分析软件ANSYS获得不同弹模、不同水位下的水平位移水压分量,构造学习样本进行网络训练,从而求出大坝混凝土的平均弹性模量。结果表明,智能反演获得的弹性模量接近真实情况,为评价大坝安全性态提供了可靠的依据。This article is based on the monitoring data of Geheyan project to invert the elastic modulus of concrete dam by intelligent method. Firstly, the statistical model is established with stepwise regressions. The water pressure component of displacement is gained by the structural analysis by ANSYS under different elastic modulus and water level. The learning samples are constructed and trained in the networks. So, the average elastic modulus is gained. It is proved that the elastic modulus gained by this method is close to the real modulus and provides the reliable reference for evaluating the safe state of dam.

关 键 词：神经网络 反演 弹性模量 ANSYS 

分 类 号：TV698.11[水利工程—水利水电工程]