Reliability Analysis of Rock Block Stability and Support for Underground Water-Sealed Storage Caverns

被引:0
|
作者
Qiao L.-P. [1 ]
Lu W.-L. [1 ]
Min Z.-S. [2 ]
Wang Z.-C. [3 ]
机构
[1] School of Resources & Civil Engineering, Northeastern University, Shenyang
[2] Liaohe Oilfield Exploration and Development Research Institute, Panjin
[3] Key Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines, Northeastern University, Shenyang
关键词
failure probability; Monte Carlo method; optimization; parameter inspection; parameter uncertainty; support reliability; underground water-sealed storage cavern;
D O I
10.12068/j.issn.1005-3026.2023.04.012
中图分类号
学科分类号
摘要
The stochastic distribution of geometrical and mechanical parameters of rock joints causes a high degree of uncertainty in the stability of rock mass engineering.Taking a project of underground water-sealed storage caverns as an example, and considering the uncertainty of dip directions, dip angles, cohesion and friction angles, the reliability of surrounding rock block stability and support system are studied using the reliability theory and numerical simulation, and the support parameters are tested and optimized.The results show that the reliability indexes of the surrounding rock blocks of Grade Ⅰ to IV are 4.23, 1.68, 0.65 and-0.07, respectively.After the support system is applied to Grade II, III and IV surrounding rocks, the reliability indexes of the surrounding rock blocks are 3.3, 3.0 and 2.0, respectively.The row spacing between supports is optimized, and the recommended values are 2.8, 2.0 and 1.6 m for the surrounding rock blocks of Grade II, III and IV, respectively. © 2023 Northeastern University.All rights reserved.
引用
收藏
页码:544 / 550
页数:6
相关论文
共 21 条
  • [1] Liu H, Qiao L, Wang S, Et al., Quantifying the containment efficiency of underground water-sealed oil storage caverns: method and case study [J], Tunnelling and Underground Space Technology, 110, (2021)
  • [2] Zhao X D, Deng L, Zhang S J., Stability analysis of underground water-sealed oil storage caverns in China:a case study, Energy Exploration &Exploitation, 38, 6, pp. 2252-2276, (2020)
  • [3] Xue Y G, Ning Z X, Qiu D H, Et al., A study of water curtain parameters of underground oil storage caverns using time series monitoring and numerical simulation [J], Journal of Zhejiang University: Science A, 22, 3, pp. 165-181, (2021)
  • [4] Wang Zhe-chao, Lu Bao-qi, Li Shu-cai, Et al., Risk assessment for an underground crude oil storage facility with water-curtaining system during construction phase, Chinese Journal of Geotechnical Engineering, 37, 6, pp. 1057-1067, (2015)
  • [5] Qiao L P, Wang Z C, Li S C, Et al., Assessing containment properties of underground oil storage caverns:methods and a case study [J], Geosciences Journal, 21, 4, pp. 579-593, (2017)
  • [6] Zhang B, Wang H, Wang L, Et al., Large-scale field test on abandoned deep anhydrite mine-out for reuse as crude oil storage-a case study, Engineering Geology, 267, (2020)
  • [7] Langford J C, Diederichs M S., Reliability based approach to tunnel lining design using a modified point estimate method [J], International Journal of Rock Mechanics and Mining Sciences, 60, pp. 263-276, (2013)
  • [8] Xu Z H, Gao B, Li S C, Et al., A groundwater seal evaluation method based on water inflow for underground oil storage caverns [J], Tunnelling and Underground Space Technology, 82, pp. 265-277, (2018)
  • [9] Hoek E., Reliability of Hoek-Brown estimates of rock mass properties and their impact on design [J], International Journal of Rock Mechanics and Mining Sciences, 35, 1, pp. 63-68, (1998)
  • [10] Li Z, Xue Y, Li S, Et al., An analytical model for surrounding rock classification during underground water-sealed caverns construction: a case study from eastern China [J], Environmental Earth Sciences, 78, 20, pp. 1-11, (2019)