›› 2015, Vol. 36 ›› Issue (3): 854-860.doi: 10.16285/j.rsm.2015.03.032

• Geotechnical Engineering • Previous Articles     Next Articles

Grey relation analysis of deformation sensitivity based on probability distribution models of surrounding rock mechanical parameters

HAO Jie1,SHI Ke-bin1,CHEN Gong-min2,BAI Xian-jun2   

  1. 1. College of Hydraulic and Civil Engineering, Xinjiang Agricultural University, Urumqi, Xinjiang 830000 China; 2. Gezhouba Xinjiang Engineering Co., Ltd., Urumqi, Xinjiang 830000, China
  • Received:2014-03-06 Online:2015-03-11 Published:2018-06-13

Abstract: This paper provides the reliable theoretic guidance for parameters selection of surrounding rock stability analysis in Bulungl-Gongur hydropower station underground cavern. The grey relation analysis of deformation sensitivity method is proposed based on probability distribution model of surrounding rock mechanical parameters, while the spatial variability of parameters and the shortcomings of conventional sensitivity analysis are considered. Three-dimensional discrete element calculation program is used. This method regards density, elastic modulus, Poisson’s ratio, cohesion, internal friction angle and joints internal friction angle as factor array. The vault crown settlement is specified as the target array. The influence of each factor changing in defined domain on the vault crown settlement is analyzed. The results show that the density is the most sensitive influential factor among all the factors. The subordinate sensitive influential factors are the elastic modulus, cohesion and Poisson’s ratio. The internal friction angle and joints internal friction angle are the minimum sensitive influential factors. Finally, comparison of results between conventional sensitivity analysis and the proposed method is made. The results indicate that except density, internal friction angle and joints internal friction angle are consistent, the sensitivity of the rest parameters are not consistent. Therefore, this method could evaluate those parameters more accurately and reasonably based on considering the probability distribution of rock mechanical parameters.

Key words: stability of surrounding rock, discrete element, probability distribution of parameters, grey relation analysis, deformation sensitivity

CLC Number: 

  • TU 452
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