›› 2017, Vol. 38 ›› Issue (1): 205-213.doi: 10.16285/j.rsm.2017.01.026

• Geotechnical Engineering • Previous Articles     Next Articles

Stochastic analysis of strength and deformation parameters of jointed rock mass based on generalized Hoek-Brown criterion

CHENG Ai-ping1, XIAO Shu2, 3, XU Meng-guo1, WANG Ping1, LIU Yan-zhang1   

  1. 1. Key Laboratory of Hubei Province for High-Efficient Use of Metallurgical Mineral Resources and Agglomeration, Wuhan University of Science and Technology, Wuhan, Hubei 430081, China; 2. Three Gorges Geotechnical Consultants Co., Ltd., Wuhan, Hubei 430074, China; 3. School of Civil & Environment Engineering, University of Science and Technology Beijing, Beijing 100083, China
  • Received:2016-04-29 Online:2017-01-11 Published:2018-06-05
  • Supported by:

    This work was supported by the National Natural Science Foundation of China (51604195, 51074014).

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Abstract: Uniaxial compressive strength, rock quality designation (RQD) and statistics data of joints survey are used as input parameters to construct probabilistic models based on mechanical tests and field surveying data from Muliashi Open Pit. These probabilistic models are well fitted by using the chi-square test. From the generalized Hoek-Brown criterion, the probabilistic distributions of strength and deformation parameters of jointed rock mass are obtained by using the stochastic analysis in the MATLAB program and Monte Carlo method. Spearman’s rank correlation coefficient is applied to analyze the correlations between strength parameters and each input parameters. Based on the practical slope engineering, the slope stability is evaluated from the perspective of failure probability. The proposed method comprehensively considers the uncertainty and variability of jointed rock mass parameters, and can provide a valuable reference for safety decisions of practical engineering projects.

Key words: jointed rock mass, Hoek-Brown criterion, rock mass strength, stochastic analysis

CLC Number: 

  • TD 313

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