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Ground support performance in deep underground mine with large anisotropic deformation using calibrated numerical simulation (case of mine-H)

  • Hu, Bo (School of Civil Engineering, Chongqing Jiaotong University) ;
  • Sharifzadeh, Mostafa (Department of Mining Engineering, Western Australian School of Mines, Curtin University) ;
  • Feng, Xia-Ting (Key Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines, Northeastern University) ;
  • Talebi, Roo (Northern Star Resources Ltd) ;
  • Lou, Jin-Fu (Mining and Designing Branch, China Coal Research Institute)
  • Received : 2019.12.02
  • Accepted : 2020.05.16
  • Published : 2020.06.25

Abstract

High-stress and complex geological conditions impose great challenges to maintain excavation stability during deep underground mining. In this research, large anisotropic deformation and its management by support system at a deep underground mine in Western Australia were simulated through three-dimensional finite-difference model. The ubiquitous-joint model was used and calibrated in FLAC3D to reproduce the deformation and failure characteristics of the excavation based on the field monitoring results. After modeling verification, the roles of mining depth also the intercept angle between excavation axis and foliation orientation on the deformation and damage were studied. Based on the results, quantitative relationships between key factors and damage classifications were presented, which can be used as an engineering tool. Subsequently, the performance of support system installation sequences was simulated and compared at four different scenarios. The results show that, first surface support and then reinforcement installation can obtain a better controlling effect. Finally, the influence of bolt spacing and ring spacing were also discussed. The outcomes obtained in this research may play a meaningful reference for facing the challenges in thin-bedded or foliated ground conditions.

Keywords

Acknowledgement

This work is finically supported by the National Natural Science Foundation of China (No. 51874175; No. 51974145), the Project of Young Talents in Science and Technology of the Department of Education of Liaoning Province (LJ2019QL005), Key Scientific Research Project of Inner Mongolia Universities (NJZZ20300), and National Natural Science Foundation of China the 111 Project under grant no: 51839003 and B17009.

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