›› 2008, Vol. 29 ›› Issue (8): 2262-2266.

• Fundamental Theroy and Experimental Research • Previous Articles     Next Articles

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

WEI Jin-bing1, DENG Jian-hui1, GAO Chun-yu1, THAM L. G.2, LEE C. F.2   

  1. 1. State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resources and Hydropower, Sichuan University, Chengdu 610065, China; 2. Department of Civil Engineering, the University of Hong Kong, Hong Kong, China
  • Received:2007-03-06 Online:2008-08-11 Published:2013-08-02

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Abstract: 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 4.89×10-2 cm/s, which is consistent with field testing result(1.78?10?2 cm/s to 3.2×10?2 cm/s); the saturated permeability coefficient of slipband by back analysis is 4.66×10?5 cm/s, which is very larger than indoor testing result (2.74×10?7 cm/s to 5.73×10?7 cm/s). The scale effect of soil sample is reflected by this difference.

Key words: unsaturated seepage, permeability coefficient, back-propagation neural network, genetic algorithm, Xietan landslide

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