Reliability Analysis of Shear Strength Parameters of Rock Mass Derived Using the Hoek-Brown Criterion

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Authors

  • Mining Engineering Faculty, Kunming Metallurgy College, Kunming 650 033 ,CN
  • School of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo 454 000 ,CN
  • School of Engineering and Information Technology, Federation University Australia, Ballarat 3350 ,AU
  • School of Engineering and Information Technology, Federation University Australia, Ballarat 3350 ,AU
  • Mining Engineering Faculty, Kunming Metallurgy College, Kunming 650 033 ,CN
  • Continuous Education College, Kunming Medical University, Kunming 650 031 ,CN
  • Kunming Engineering & Research Institute of Nonferrous Metallurgy Co., Kunming 650 051 ,CN
  • Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650 093 ,CN
  • Mining Engineering Faculty, Kunming Metallurgy College, Kunming 650 033 ,CN
  • Mining Engineering Faculty, Kunming Metallurgy College, Kunming 650 033 ,CN

Keywords:

Hoek-Brown Criterion, Non-Linear Mohr-Coulomb Envelope, Least Square Variance, Reliability.

Abstract

Determining the mechanical parameters of a rock mass is a difficult but crucial matter in studies pertaining to stability. In this study, the Hoek-Brown criterion is used to derive the shear strength parameters of a rock mass; the parameters are subsequently optimized through reliability analyses, including the nonlinear Mohr-Coulomb envelope, optimized slopes, and least square variance methods. Further, through a case study of the Jianshan open pit mine, the c and φ values of the orebody were comparatively studied using the proposed method. The nonlinear Mohr-Coulomb envelope method and the optimized slopes method can attain reliability values exceeding 80%, as required by Chinese standards.

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Published

2022-10-22

How to Cite

Wen, Y., Wang, C., Zhao, L., You, G., Yang, J., Zeng, X., Yang, Z., Sun, W., Cheng, Y., & Lin, Y. (2022). Reliability Analysis of Shear Strength Parameters of Rock Mass Derived Using the Hoek-Brown Criterion. Journal of Mines, Metals and Fuels, 66(8), 438–443. Retrieved from https://informaticsjournals.com/index.php/jmmf/article/view/31735

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