石牛水库防渗加固后大坝渗透系数反分析  

Inversion Analysis of Permeability Coefficients for Shiniu Reservoir after Anti-seepage Reinforcements

作　　者：黄珊[1] 秦卫星[1] 黎峰[2] 蒋春艳[2] 

机构地区：[1]长沙理工大学水利工程学院,湖南长沙410114 [2]湖南省水利水电科学研究所,湖南长沙410007

出　　处：《吉林水利》2014年第2期1-2,6,共3页Jilin Water Resources

基　　金：高等学校博士学科点专项科研基金资助课题(20104316120003);湖南省科技厅科技计划重点项目(2009NK2012)

摘　　要：准确获取石牛水库防渗加固后大坝渗透系数是评价其防渗加固效果的基础。结合石牛水库典型剖面的监测水头数据,利用BP神经网络反分析得出防渗加固后大坝各区域的渗透系数,并基于该组渗透系数采用有限单元法确定坝体浸润线的位置。计算所得的浸润线与实测浸润线位置接近,这表明反演所得渗透系数具有较高精度,能够为后续评估石牛水库的防渗加固效果提供可靠数据。Getting accurate permeability coefficients basis to evaluate the reinforcements effects.The BP of Shiniu reservoir after anti-seepage reinforcements is the neural network is used to inverse the permeability coefficients of Shiniu reservoir after anti-seepage reinforcements according to observed head data of the typical profile, and the saturation line position which simulated with the inversed permeability coefficients and finite element method.The calculated saturation line is close to the measured saturation line ;it indicates that the permeability coefficients of Shiniu reservoir after anti-seepage reinforcements through the inversion are precise;It can provide reliable data to evaluate the reinforcements effects of Shiniu reservoir.

关 键 词：渗透系数 防渗加固 反分析 水库 大坝 坝体浸润线 牛 BP神经网络 

分 类 号：TV641[水利工程—水利水电工程]