基于GA-ANN的高堆石坝施工期沉降分析  

Settlement Analysis of High Rockfill Dams in Construction Period Based on GA-ANN Model

作　　者：柳育刚[1] 孙静[1] 刘东海[1] 

机构地区：[1]天津大学建筑工程学院,天津300072

出　　处：《施工技术》2012年第S1期358-360,共3页Construction Technology

基　　金：国家自然科学基金(51079096);教育部新世纪优秀人才计划资助(NCET-08-0391)

摘　　要：施工期坝体沉降是影响大坝安全的主要因素。为精确计算施工期坝体的沉降,选取填筑高度和时效因子作为沉降分析变量,采用基于遗传算法的人工神经网络(GA-ANN)构造施工期坝体沉降预测模型;某工程实例应用表明,该模型具有较高的拟合、预测精度,为大坝施工期沉降控制提供了依据。Settlement during construction is a major factor that affects dam safety.In order to analysis settlement data,GA-ANN is considered to establish the predict model.As based on genetic algorithm-artificial neural network,using the filling height and time as variables.The result of actual project indicates that the model inosculates with the fact data and has high prediction accuracy,providing basis for controlling settlement in construction period.

关 键 词：高堆石坝 GA-ANN 时效因子 填筑高度 沉降 

分 类 号：TV641.4[水利工程—水利水电工程]