Журналы →  Gornyi Zhurnal →  2023 →  №1 →  Назад

Название Creation of geomechanical block model of Severomuysky Tunnel area in Micromine Origin & Beyond
DOI 10.17580/gzh.2023.01.10
Автор Fedotov G. S., Kurtsev B. V., Yanbekov A. M., Umarov A. R.
Информация об авторе

Micromine Rus, Moscow, Russia:

G. S. Fedotov, Head of Department for Educational Institutions and Training Guidance, Candidate of Engineering Sciences, grigoriyfedotov.s@gmail.com
B. V. Kurtsev, CEO


Research Center for Applied Geomechanics and Convergent Technologies in Mining, NUST MISIS’ College of Mining, Moscow, Russia:
A. M. Yanbekov, Project Engineer
A. R. Umarov, Project Engineer, Post-Graduate Student


In 2016 Russian Railways made a decision to reconstruct the upper structure of the track and drainageand-transport adit in Severomuysky Tunnel in order to mitigate the impacts of adverse factors and to increase the tunnel capacity. As a rule, such work goes with the creation of a 3D model of subsoil in the area of reconstruction. The area of Severomuysky Tunnel features difficult geological and geotectonic conditions. The seismically active zones, subvertical tectonic delamination of granitoid rock mass in the Baikal Mega Dome, as well as the thermal and cold groundwater complicate operation and require special control activities to be undertaken. Creation of the geomechanical model is discussed, the modeling stages are described, the source data of the modeling are given, and the calculation procedure to find geomechanical determinants for the modeling is delineated. The modeling is performed in geological and mining information system Micromine Origin & Beyond. Visualization of distribution of quantitative data on rock mass quality and real-time updating of the model when new geomechanical observations arrive allow enhancing quality of project solutions, including designs of tunnel lining and new underground openings. With the block model at hand, it is possible to identify hazardous areas in rock mass and to predict rock mass damages in three and in two dimensions. The geological and mining information systems are usable both in solid mineral mining and in construction / reconstruction of various-purpose underground structures. At the comparatively low labor cost of modeling, specialists gain an offing to improve essentially the computational accuracy and to minimize the risks associated with construction and operation of objects in difficult geotechnical conditions.

Ключевые слова Micromine, block modeling, geomechanical block model, wire-frame model, digitalization, geomechanical supervision of mining, underground excavations
Библиографический список

1. Melnikova V. I., Gileva N. A., Seredkina A. I. New data on seismic activity in the North Muya Region in 2014–2016. Geodynamic Evolution of the Lithosphere in the Central Asia Mobile Belt (Ocean-to-Continent) : Conference Proceedings. Irkutsk : Institut zemnoy kory SO RAN, 2016. Vol. 14. pp. 196–198.
2. Leonov M. G. Consolidated crust tectonics : Geological Institute’s transaction. Moscow : Nauka, 2008. 457 p.
3. Bykova N. M. Severomuysky Tunnel and geodynamics in the Baikal Rift Zone. Uspekhi sovremennogo estestvoznaniya. 2005. No. 9. pp. 69–70.
4. Danilova M. A. Structure and hydrogeology analysis and physicomechanical modeling of formation of underground water in the region of Severomuysky Tunnel of the Baikal–Amur Mainline : Thesis of Dissertation of Candidate of Geologo-Mineralogical Sciences. Irkutsk, 2010. 17 p.
5. Reconstruction of track and drainage–transportation adit of Severomuysky Tunnel, Russian Railways, 2016. Available at: https://global.rzd.ru/projects/view?id=91 (accessed: 15.11.2022).
6. Fedotov G. S., Sapronova N. P. Geological and mining information systems as a tool for digital transformation of production processes in mining companies. Marksheyderya i nedropolzovanie. 2021. No. 4(114). pp. 54–59.
7. Trofimov A. V., Kirkin A. P., Rumyantsev A. E., Yavarov A. V. Use of numerical modelling to determine optimum overcoring parameters in rock stress–strain analysis. Tsvetnye Metally. 2020. No. 12. pp. 22–27. DOI: 10.17580/tsm.2020.12.03
8. Maroufpoor S., Bozorg-Haddad O., Xuefeng Chu. Geostatistics: Principles and methods. Handbook of Probabilistic Models. Cambridge : Butterworth-Heinemann, 2020. pp. 229–242.
9. Zuev B. Yu., Zubov V. P., Fedorov A. S. Application prospects for models of equivalent materials in studies of geomechanical processes in underground mining of solid minerals. Eurasian Mining. 2019. No. 1. pp. 8–12. DOI: 10.17580/em.2019.01.02
10. Sidorov D. V., Potapchuk M. I., Sidlyar A. V. Forecasting rock burst hazard of tectonically disturbed ore massif at the deep horizons of Nikolaevskoe polymetallic deposit. Journal of Mining Institute. 2018. Vol. 234. pp. 604–611.
11. Contreras L.-F., Brown E. T. Slope reliability and back analysis of failure with geotechnical parameters estimated using Bayesian inference. Journal of Rock Mechanics and Geotechnical Engineering. 2019. Vol. 11, Iss. 3. pp. 628–643.
12. Heriyadi B., Prengki I., Prabowo H. Analysis of Collapse Load and Open Hole Evaluation Based on Rock Mass Ratting (RMR) Method in Underground Mining. Journal of Physics: Conference Series. 2019. Vol. 1387. 012104. DOI: 10.1088/1742-6596/1387/1/012104
13. Kurtsev B. V., Fedotov G. S. MICROMINE-based geomechanical supervision of mining. Gornyi Zhurnal. 2022. No. 1. pp. 45–50. DOI: 10.17580/gzh.2022.01.08
14. Hoek E., Martin C. D. Fracture initiation and propagation in intact rock—A review. Journal of Rock Mechanics and Geotechnical Engineering. 2014. Vol. 6, Iss. 4. pp. 287–300.
15. Hoek E., Carter T. G., Diederichs M. S. Quantification of the Geological Strength Index chart. 47th US Rock Mechanics / Geomechanics Symposium. San Francisco, 2013.
16. Bar N., Barton N. The Q-Slope Method for Rock Slope Engineering. Rock Mechanics and Rock Engineering. 2017. Vol. 50, Iss. 12. pp. 3307–3322.
17. Barton N., Quadros E. Most Rock Masses are likely to be Anisotropic. Rock Mechanics for Natural Resources and Infrastructure : SBMR 2014–ISRM Specialized Conference. Goiania, 2014.
18. Using the Q-system. Rock Mass classification and support design : Handbook. Revised and new edition. Oslo : NGI, 2022. 56 p.

Language of full-text русский
Полный текст статьи Получить