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Dilshad A. Kuziev
Dilshad A. Kuziev
Associate Professor, Ph.D.
National University of Science and Technology “MISiS”
Associate Professor, Ph.D.
National University of Science and Technology “MISiS”
65
Total cited
5
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Articles

Geotechnical Engineering and Engineering Geology
  • Date submitted
    2021-10-27
  • Date accepted
    2022-01-25
  • Date published
    2022-04-29

Prediction of the geomechanical state of the rock mass when mining salt deposits with stowing

The technogenic impact of mining on the environment is analyzed and the transition to geotechnology with stowing to reduce the impact of mining operations is proposed. The results of the research work devoted to the justification of parameters of the development of salt deposits with stowing and the definition of the influence of stowing on the dynamics of deformation of the underworked rock massif are presented. The relevance of research aimed at creating a safe and efficient technology for the transition from systems with natural maintenance of stoping space to systems with stowing has been substantiated. The results of studies on qualitative and quantitative assessment of the state of the rock massif (by the finite element method using FLAC3D software), worked out by combines, are given and the dynamics of the impact of mining operations on the rock mass and the change in the maximum stresses during the hardening of the stowing in the chambers are revealed. The numerical modeling method is used to analyze the conditions of change in the state of the underworked rock mass, to establish the mechanisms of its deformation at various stages of development. It is recommended to use this approach for geotechnical assessment of the rock mass state in conditions of using development systems of different classes.

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Jaroslav Rybak, Marat M. Khayrutdinov, Dilshad A. Kuziev, Cheynesh B. Kongar-Syuryun, Nikita V. Babyr (2022) Prediction of the geomechanical state of the rock mass when mining salt deposits with stowing. Journal of Mining Institute. Vol 253. p. 61-70. DOI: 10.31897/PMI.2022.2