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.
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)
