泄滩污水处理厂不稳定斜坡地下水动力学参数反演  

Back Analysis for Groundwater Dynamics Parameters of the Unstable Slope of Xietan Sewage Disposal Plant

作　　者：吴杰[1] 刘心庭[1] 张振华[1,2] 王志俭[1] 李耀[1,3] 

机构地区：[1]三峡大学三峡地区地质灾害与生态环境湖北省协同创新中心,湖北宜昌443002 [2]合肥工业大学土木与水利工程学院,合肥230009 [3]青岛海大建科岩土工程有限公司,山东青岛266000

出　　处：《地下空间与工程学报》2015年第3期803-810,共8页Chinese Journal of Underground Space and Engineering

基　　金：三峡库区三期地质灾害防治重大科研项目(SXKY3-2-2-200903);国家科学自然基金项目(51108435;51379106)

摘　　要：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 impoundment of the reservoir,relatively large deformation of the bank slope of Xietan Sewage Disposal Plant in Three Gorges Reservoir Region has appeared under the fluctuation of reservoir water level. Now this bank slope has become unstable. After analyzing the measured groundwater level,deformation survey data and the dynamics parameters of the ground water in a oscillation period of reservoir level,the authors found the dynamic changing features of unstable slope permeability coefficient and specific storage of Xietan Sewage Disposal Plant under the fluctuation of reservoir level and rainfall based on comprehensive inversion methods combined with the finite element method,neural network and genetic algorithm on the basis of Fluid-solid Coupling Theory. It provides the basis for stability evaluation of this unstable slope.

关 键 词：三峡库区 反演分析 渗透系数 储水率 

分 类 号：O319.56[理学—一般力学与力学基础]