三峡水库蓄水运行后,三峡库区泄滩污水处理厂岸坡在库水位变化条件下发生较大的变形,目前,该岸坡已成为不稳定斜坡。本文基于流固耦合理论,采用有限元法、神经网络与遗传算法相结合的综合智能反演方法,依据该不稳定斜坡在一个库水位变化周期内的地下水位和变形监测资料,对该不稳定斜坡在一个库水位变化周期内的地下水动力学参数进行反演分析,获得该斜坡堆积体在库水位变化和降雨条件下的渗透系数和储水率动态变化特征,为该斜坡的稳定性评价提供依据。 After the Three Gorges Reservoir is impounding, the bank slope of the Xiantan Sewage Treatment Works in the Three Gorges Reservoir Area undergoes major deformation under the conditions of varying water levels in the reservoir. At present, the bank slope has become an unstable slope. Based on the fluid-solid coupling theory and the integrated intelligent inversion method combined with finite element method, neural network and genetic algorithm, based on the monitoring data of groundwater level and deformation of the unstable slope in a reservoir water level change period, this instability The groundwater dynamic parameters in a reservoir water level change period are inversely analyzed to obtain the dynamic change characteristics of permeability and water storage rate of the slope sediment under the change of reservoir water level and rainfall, providing the stability evaluation of the slope in accordance with.