Unsaturated seepage analysis and back analysis of permeability coefficient for Xietan landslide in Three Gorges Reservoir area

被引:0
|
作者
Wei Jin-bing [1 ]
Deng Jian-hui [1 ]
Gao Chun-yu [1 ]
Tham, L. G. [2 ]
Lee, C. F. [2 ]
机构
[1] Sichuan Univ, Coll Water Resources & Hydropower, State Key Lab Hydraul & Mt River Engn, Chengdu 610065, Sichuan, Peoples R China
[2] Univ Hong Kong, Dept Civil Engn, Hong Kong, Hong Kong, Peoples R China
关键词
unsaturated seepage; permeability coefficient; back-propagation neural network; genetic algorithm; Xietan landslide;
D O I
暂无
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
The hydrogeological structure of Xietan landslide is very complex; its slidebody, slipband and sliding-disturbed zone can be regarded as porous continuous medium, but its infiltrative bedrock is fractured. An equivalent continuum model is used to model fractured rock; and a finite element model of saturated-unsaturated seepage analysis of Xietan landslide is established. Then back-propagation neural network is used to substitute finite element seepage analysis; and saturated permeability coefficient of every stratum is optimized by genetic algorithm based on monitoring data during reservoir filling. The saturated permeability coefficient of slidebody by back analysis is 4.89x10(-2) cm/s, which is consistent with field testing result(1.78. 10(-2) cm/s to 3.2x10(-2) cm/s); the saturated permeability coefficient of slipband by back analysis is 4.66x10(-5) cm/s, which is very larger than indoor testing result (2.74x10(-7) cm/s to 5.73x10(-7) cm/s). The scale effect of soil sample is reflected by this difference.
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页码:2262 / 2266
页数:5
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