Gipronickel Institute, Saint-Petersburg, Russia

A. V. Trofimov, Director of Scientific and Technical Development Department, Candidate of Engineering Sciences, trofimovav@nornik.ru
A. E. Rumyantsev, Head of Geotechnique Laboratory, Candidate of Engineering Sciences
Yu. Yu. Golovchenko, Senior Researcher, Sector of Geomechanics, Geotechnique Laboratory
A. V. Kolganov, Head of Sector of Geomechanics, Geotechnique Laboratory, Candidate of Engineering Sciences

This article examines a methodology for the comprehensive stability analysis of vertical mine openings and shafts based on the combined use of the geomechanical block modeling and numerical modeling. The focus is on constructing a numerical model that imports the physical and mechanical properties of rocks determined using a geomechanical block model (GBM). This approach provides a detailed spatial distribution of parameters with regard to the lithological differences, fracturing zones, tectonic faults, and the complex geometry ofadja cent mine openings. The subject of study was a mine shaft and two closely spaced ore passes where damages of concrete lining were recorded in the depth interval between -450 and -550 m. According to the inspection results, the damages represent local falls and nonuniform deformations, which points at the high stress gradients and structural nonuniformity in rock mass. The actual data inform on the complex geomechanical conditions in the test area, due to the combination of faulting, contrasting lithology and closeness of the ore passes which add to loading redistribution. The study included the stress–strain modeling of rock mass to assess the impact of weakened zones and process openings on the stability of the lining support. The obtained results indicate that the use of the average rock mass properties leads to a significant distortion of the stress pattern, while integrating the data in the geomechanical block model allows reproducing the actual spatial distribution of the physical and mechanical properties which have a decisive influence on the complex local stress–strain reconstruction. The proposed approach improves the calculation accuracy, aligns the calculated stress concentration zones with the actual deformation and failure patterns, and expands the ability to predict rock mass behavior during support repair and new vertical opening design.

1. Tarasov V. V., Aptukov V. N., Ivanov O. V., Nikolaev P. V. Estimation of load-bearing capacity of mine shaft tubing in s alt rocks. Journal of Mining Science. 2024. Vol. 60, No. 5. pp. 743–749.
2. Ozornin I. L., Balek A. E., Kayumova A. N. Of forming loads on the mounting of shaft shafts in the hierarchic block environment under the influence of modern geodynamic movements. MIAB. 2020. No. 3-1. pp. 161–169.
3. Diulin D. A., Prushak V. Ya., Gegedesh M. G. Analysis of the stress-s train state of problematic sections of the shaft of the mine using computer simulation. Doklady Natsionalnoy akademii nauk Belarusi. 2023. Vol. 67, No. 4. pp. 322–330.
4. Kurtsev B. V., Fedotov G. S. MICROMINE-based geomechanical supervision of mining. Gornyi Zhurnal. 2022. No. 1. pp. 45–50.
5. Sonnov M. A., Trofimov A. V., Rumy antsev A. E., Shpilev S. V. Application of Numerical and Block Geomechanical Modelling to Determine Parameters of Large-Section Chambers. Gornaya Promyshlennost. 2021. No. 2. pp. 127–131.
6. Moroz N. E., Sidorov D. V., Sonno v M. A. Complex geomechanical modeling of mining vein deposits of block structure. Gornaya Promyshlennost. 2023. No. 6. pp. 71–74.
7. Kanevskiy M., Demyanov V., Chernov S., Saveleva E., Timonin V. Geostatistics and artificial neural networks for the spatially dist ributed data modeling and analysis. Thermal Engineering. 1999. No. 1. pp. 77–91.
8. Marysyuk V. P., Sabyanin G. V., Trofimov A. V., Kolganov A. V. Methodology of geomechanical block modeling of rock mass in Taimyrsky Mine field. Gornyi Zhurnal. 2022. No. 10. pp. 39–45.
9. Simon M. K., Divsalar D. Some new twi sts to problems involving the Gaussian probability integral. IEEE Transactions on Communications. 2005. Vol. 46, Iss. 2. pp. 200–210.
10. Gospodarikov A. P., Kirilenko V. I., Milkov A. S., Shilenko S. Yu. Model parameters of ore and rock mass in Zapolyarny Mine for discrete modeling of ore drawing under caved rocks. Gornyi Zhurnal. 2025. No. 9. pp. 13–19.
11. Zubov V. P., Trofimov A . V., Kolganov A. V. Influence of ground control features on indicators of dilution in mines of the Talanakh ore province. MIAB. 2024. No. 12-1. pp. 87–106.
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. MIAB. 2017. No. 1. pp. 5–17.
13. Degterev A. Yu. The Hypothesis of Sta tionarity in Geostatistics and Its Influence on The Reliability of The Created Models. Geomodel 2021 : Proceedings of the 23nd Conference on Oil and Gas Geological Exploration and Development. Moscow : EAGE Geomodel, 2021. DOI: 10.3997/2214-4609.202157092
14. Degterev A., Topchii M., Bondarev A. Improvement Possibilities for the Op en Geological Model of the Groningen Field. SPE Reservoir Characterisation and Simulation Conference and Exhibition. Abu Dhabi, 2023. SPE-212591-MS.
15. Morozov E. M., Levin V. A., Vershinin A. V. Strength analysis. Fidesys in engineer’s hand. Moscow : URSS, 2015. 401 p.
16. Fadeev A. B. Finite element method in hy dromechanics. Moscow : Nedra, 1987. 221 p.
17. Hoek E., Diederichs M. S. Empirical estimation of rock mass modulus. International Journal of Rock Mechanics and Mining Sciences. 2006. Vol. 43, Iss. 2. pp. 203–215.
18. Vásárhelyi B., Kovács D. Empirical methods of calculating the mechanic al parameters of the rock mass. Periodica Polytechnica Civil Engineering. 2017. Vol. 61, No. 1. pp. 39–50.
19. Marysyuk V. P., Trofimov A. V., Kirkin A. P., Shutov A. A. Stress–strain determination in Oktyabrsky Mine SS-1 skip shaft area by overcoring. Gornyi Zhurnal. 2024. No. 3. pp. 34–40.