摘要
结合三峡库区大石板滑坡工程实例 ,以连续 36天的降雨过程为条件 ,利用已有的地下水位观测资料 ,采用人工神经网络方法预测滑坡内地下水位在排水工程实施前后的变化 ,以此作为非饱和—饱和—非衡定地下渗流计算的特定水头边界。根据计算的地下水位进行滑坡稳定性分析 ,结合稳定分析成果对排水系统工程的效果进行评价。结果表明 ,地下排水工程的实施可较大幅度地提高滑坡的稳定性。
Using the data of underground water in Dashiban landslide in 1983, an artificial neural network method is developed to predict the groundwater table in observation holes with both drainage and non-drainage systems. The groundwater table is considered as a fixed water head boundary to simulate the seepage of the landslide. The limit equilibrium analysis and evaluation of the effectiveness of drainage system are made in combination with result of stability analysis of landslide and according to the variation of groundwater related to landslide drainage system. The result shows that the drainage control engineering is reasonable and effective.
出处
《工程地质学报》
CSCD
2002年第1期83-88,共6页
Journal of Engineering Geology
基金
国家自然科学基金 (批准号 :5 0 12 890 4)资助
关键词
滑坡
排水效果
地下水
渗流
人工神经网络
三峡库区
Landslide, Drainage effectiveness, Seepage, Underground water, Artificial neural network.
