Journal of Jilin University(Earth Science Edition) ›› 2018, Vol. 48 ›› Issue (5): 1427-1433.doi: 10.13278/j.cnki.jjuese.20170107

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Numerical Simulation of the Efficiency of Intercepting Water with Compressed Air in the Treatment of Landslide

Chen Yongzhen1, Wu Gang1, Sun Hongyue1, Shang Yuequan2   

  1. 1. College of Ocean, Zhejiang University, Zhoushan 316021, Zhejiang, China;
    2. College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China
  • Received:2018-01-17 Online:2018-09-26 Published:2018-11-20
  • Supported by:
    Supported by National Natural Science Foundation of China(41372277)

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Abstract: In order to verify that the groundwater level and slope stability can be effectively controlled in an actual landslide by intercepting water with compressed air, based on the analysis of the characteristics and the formation mechanism of landslide deformation and failure, taking the Xiaodan landslide as an example, the authors studied the effectiveness of the intercepting water with compressed air applied in the treatment of this kind of landslide. Through a two-dimensional finite element numerical simulation, the variation law of a slope stability under different inflation pressures was analyzed. It is found that by inflating air into the appropriate edge of a landslide, a stable unsaturated water cut curtain can be formed to reduce the groundwater level in the potential slide area. When the inflation pressure is 125 kPa, which is the optimum inflation pressure of Xiaodan landslide, the stability coefficient increases from 1.144 to 1.209 under unexploited condition; while the stability coefficient increases from 1.106 to 1.139 under excavated condition. When the infiltration from the trailing edge increases during the rainy season, the effectiveness of intercepting water with compressed air is more significant for landslide stability.

Key words: gravel-containing deposited soil landslide, optimal inflation pressure, intercepting water with compressed air, numerical simulation, stability

CLC Number: 

  • P642.22
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