首页 | 官方网站   微博 | 高级检索  
     

基于最小二乘支持向量机的土石坝渗透系数反演
引用本文:崔景川,陈声敢.基于最小二乘支持向量机的土石坝渗透系数反演[J].红水河,2010,29(5):47-49.
作者姓名:崔景川  陈声敢
作者单位:中交第二航务工程局水工工程分公司,湖北武汉430012
摘    要:针对土石坝渗透参数和测压管水位间复杂的非线性关系,应用最小二乘支持向量机于土石坝渗透系数的反演。首先利用有限元模型得到最小二乘支持向量机的训练样本,建立坝体水压分量相对值和渗透系数间复杂的非线性关系,并将其输入到训练好的最小二乘支持向量机模型,即可得到大坝渗透系数的反演值。以某土石坝为例经对比分析,该方法是可行的。

关 键 词:土石坝  渗透系数  最小二乘支持向量机(LSSVM)  反演

Back Analysis of Dam Seepage Parameters Based on Least Squares Support Vector Machine
CUI Jing-chuan,CHEN Sheng-gan.Back Analysis of Dam Seepage Parameters Based on Least Squares Support Vector Machine[J].Hongshui River,2010,29(5):47-49.
Authors:CUI Jing-chuan  CHEN Sheng-gan
Affiliation:(Hydraulic Engineering Company of CCCC 2nd Navigational Engineering Bureau,Wuhan 430012)
Abstract:In view of complex nonlinear relationship between dam seepage parameters and piezometric tube level,the least squares support vector machine is applied to the back analysis of seepage parameters.Firstly,training samples of the least squares support vector machine are obtained through the finite element model,the complex nonlinear relationship between relative values of water pressure components of dam pressure and seepage parameters is established,which are inputted into the least squares support vector machine model,and the values of back analysis of dam seepage parameters can be obtained.At last an earth rockfill dam is taken as an example,and the least squares support vector machine is applied to the back analysis of dam seepage parameters.Through comparative analysis,it is found that the method is feasible.
Keywords:earth rockfill dam  seepage parameter  least squares support vector machine(LSSVM)  back analysis
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号