Journals →  Gornyi Zhurnal →  2024 →  #1 →  Back

ArticleName Automation of support system design in underground mines using rock mass rating
DOI 10.17580/gzh.2024.01.17
ArticleAuthor Kopranov I. V., Stolyarov M. M., Tamakhin A. S., Zhavoronkin O. V.

NorNickel’s Polar Division, Norilsk, Russia

I. V. Kopranov, Manager at Mining Practice Supervision Unit of Mining Practice Department


Nornickel Sputnik LLC, Moscow, Russia
M. M. Stolyarov, Head of Basic Production Process Automation Unit


OT-OIL, Moscow, Russia
A. S. Tamakhin, Senior Advisor at Implementation Department,
O. V. Zhavoronkin, Deputy CEO, Candidate of Geological and Mineralogical Sciences


The article presents the major results of automation of mine system selection and design for underground openings using the automated calculation of reinforcement intervals, wireframe models and rock mass rating from Barton’s classification. The approaches to the digital mine support (re-support) certificate and to modeling location of support elements in underground openings are determined. The test data on the support system design mechanics are given, and the main advantages of the automated system and its further applicability are described. The mine support system designing should be methodologically validated and strictly regulated in industry. Improved automation can help select the best mine support system with regard to the rock mass stability factor at all mining stages, minimize the time of design and supervision paperwork and optimize the cost of assemblage and maintenance of the mine support systems. Another benefit of no little significance is the primary data control using the algorithmically adjusted method aimed to reduce errors due to human factors in mine support system design. The key objective was creation of the optimization tools for the best support system design at the stage of the mine project. The developed and designed System uses the methodology adopted at mines of the Polar Division of Norilsk Nickel. A component of the methodology is the rock mass rating using Barton’s classification (Q-system).

keywords Rock bolting system, mine support system certificate, support system modeling, stress–strain behavior, Q-system, support system design

1. Okape A., Boots B., Sugihara K., Chiu S. N. Spatial Tessellation Concept and Applications of Voronoi Diagrams. 2nd ed. Chichester : John Wiley & Sons, 1999. 675 p.
2. Ilyasov B. T., Kulsaitov R. V., Neugomonov S. S., Soluyanov N. O. Stability estimation in underground opening with support system using finite–discrete element method-based modeling. Gornyi Zhurnal. 2023. No. 1. pp. 118–123.
3. Razumov E. A., Kalinin S. I., Petrova O. A. Methodology for assessing the complex effect of anchors of different types on the stress-strain state of the roof rocks of preparatory workings. Gornyi Zhurnal. 2023. No. 1. pp. 130–133.
4. Yang Ju, Yongliang Wang, Chuanshang Su, Dongshuang Zhang, Zhangyu Ren. Numerical analysis of the dynamic evolution of mining-induced stresses and fractures in multilayered rock strata using continuum-based discrete element methods. International Journal of Rock Mechanics and Mining Sciences. 2019. Vol. 113. pp. 191–210.
5. Behnia M., Masoud Cheraghi Seifabad. Stability analysis and optimization of the support system of an underground powerhouse cavern considering rock mass variability. Environmental Earth Sciences. 2018. Vol. 77, Iss. 18. 645. DOI: 10.1007/s12665-018-7835-2
6. Weiteng Li, Ning Yang, Bo Yang, Haiyao Ma, Tingchun Li et al. An improved numerical simulation approach for arch-bolt supported tunnels with large deformation. Tunnelling and Underground Space Technology. 2018. Vol. 77. pp. 1–12.
7. Lisjak A., Young-Schultz T., Li B., He L., Tatone B. S. A. et al. A novel rockbolt formulation for a GPU-acce lerated, finite-discrete element method code and its application to underground excavations. International Journal of Rock Mechanics and Mining Sciences. 2020. Vol. 134. 104410. DOI: 10.1016/j.ijrmms.2020.104410
8. Rumyantsev A. E., Trofimov A. V., Vilchinsky V. B., Marysiuk V. P. Finite-element analysis as a means of solving geomechanics problems in deep mines. Geomechanics and Geodynamics of Rock Masses : Proceedings of the 2018 European Rock Mechanics Symposium. Leiden : CRC Press/Balkema, 2018. pp. 895–902.
9. Voznesenskiy E. A., Gishkelyuk I. A. Computer modeling of rock bolting troubleshooting. GIAB. 2008. No. 11. pp. 99–103.
10. Fryanov V. N., Petrova O. A., Petrova T. V. A set of problem-oriented programs for modeling origination and extention of hazardous zones in gas-bearing geomass. Khroniki obedinennogo fonda elektronnykh resursov “Nauka i obrazovanie”. 2015. No. 8-9(75-76).
11. Eremenko V. A., Ainbinder I. I., Marysyuk V. P., Nagovitsyn Yu. N. Guidelines for selecting ground support system for the Talnakh operations based on the rock mass quality assessment. Gornyi Zhurnal. 2018. No. 10. pp. 101–106.
12. Eremenko V.A., Aynbinder I. I., Patskevich P. G., Babkin E. A. Assessment of the state of rocks in underground mines at the Polar Division of Norilsk Nickel. GIAB. 2017. No. 1. pp. 5–17.
13. Louchnikov V. N., Eremenko V. A., Sandy M. P., Kosyreva M. A. Support design for mines exposed to rockburst hazard. Journal of Mining Science. 2017. Vol. 53, Iss. 3. pp. 504–512.
14. Barton N. Shear strength criteria for rock, rock joints, roc kfill and rock masses: Problems and some solutions. Journal of Rock Mechanics and Geotechnical Engineering. 2013. Vol. 5, Iss. 4. pp. 249–261.
15. Marusyuk V. P., Shilenko S. Yu., Kibroev I. S., Khanina I. A. Numerical modeling in ground penetrating radar-based assessment of concrete lining and space behind it. Gornyi Zhurnal. 2023. No. 6. pp. 26–32.

Language of full-text russian
Full content Buy