Back to search

Improving methodology of monitoring geomechanical behavior and property transformation in rock mass toward safe and efficient geotechnology

Mineral mining mostly features a trend of worsening of geological conditions due to increased variability of structure and strength properties in rock masses. The lack of online methods to acquire reliable information brings a problem connected with the subjective overevaluation of powder factor and intensity in drilling and blasting, which ends with failure of perimeter blasting, intense induced fracturing, instability of rocks, and with technological violations and complications. In this case, profitability of mining drops due to direct cost escalation, complication of geotechnology and decreased safety. Furthermore, flattening of pitwall slopes because of excessive powder factor leads to extra loss of active areas in open pits, which reduces production output per each meter of mining front. In this manner, rock mass variability and low integrity of monitoring methods make it impossible to distinguish the geomechanical component in inefficiency of mining systems, which impairs geomechanical safety and weakens geotechnology performance. Under the circumstances, it is very urgent to create objective methods of geomechanical monitoring and analysis toward enhanced safety and efficiency of geotechnology. This article describes some approved decisions on methodology and software/ hardware systems for geomechanical monitoring and analysis in the course of mining.

Keywords: monitoring of geomechanical behavior and property transformation in rock mass, pitwall slope flattening, blastability zoning, geomechanical safety and efficiency of geotechnology, induced fracturing, powder factor and drilling intensity.
For citation:

Khakulov V. A., Shapovalov V. A., Ignatov V. N., Ignatov M. V., Karpova Zh. V. Improving methodology of monitoring geomechanical behavior and property transformation in rock mass toward safe and efficient geotechnology. MIAB. Mining Inf. Anal. Bull. 2023;(9):68–83. [In Russ]. DOI: 10.25018/0236_1493_2023_9_0_68.

Acknowledgements:
Issue number: 9
Year: 2023
Page number: 68-83
ISBN: 0236-1493
UDK: 622.271.3
DOI: 10.25018/0236_1493_2023_9_0_68
Article receipt date: 11.04.2023
Date of review receipt: 02.05.2023
Date of the editorial board′s decision on the article′s publishing: 10.08.2023
About authors:

V.A. Khakulov1, Dr. Sci. (Eng.), Professor, Head of Chair, e-mail: vkh21@yandex.ru,
V.A. Shapovalov1, Dr. Sci. (Phys. Mathem.), e-mail: vet555_83@mail.ru,
V.N. Ignatov, Dr. Sci. (Eng.), Professor, e-mail: VNIgnatov@yandex.ru, M.I. Platov South-Russian State Polytechnic University, 346428, Novocherkassk, Russia,
M.V. Ignatov1, Cand. Sci. (Eng.), Assistant Professor, e-mail: Ign_m@mail.ru,
Zh.V. Karpova1, Cand. Sci. (Eng.), Master's Student, e-mail: z.karpovaspb@gmail.com,
1 H.M. Berbekov Kabardino-Balkarian State University, 360004, Nalchik, Russia.

 

For contacts:

V.A. Khakulov, e-mail: vkh21@yandex.ru.

Bibliography:

1. Kuznetsov A. L., Anistratov K. Yu. PJSC «Uralmashzavod» quarry excavators the present and the future of the Russian mining industry. Ugol'. 2016, no. 8, pp. 77—81. [In Russ].

2. Anistratov K. Yu. Feasibility study of the effectiveness of EKG-18 open-pit excavators with rack-and-pinion pressure of PJSC «Uralmashzavod» in coal mines. Russian Mining Industry Journal. 2016, no. 5 (129), pp. 18—23. [In Russ].

3. Anistratov K. Y. Economic and mathematical model of integrated mechanization of mining operations in open pits. Russian Mining Industry Journal. 2015, no. 3 (121), pp. 54—55. [In Russ].

4. Zhuravlev A. G. Problems of optimizing the parameters of transport systems of open pits. MIAB. Mining Inf. Anal. Bull. 2020, no. 3-1, pp. 583—601. [In Russ]. DOI: 10.25018/02361493-2020-31-0-583-601.

5. Hakulov V. A., Ignatov V. N., Hakulov V. V. Open pit mining robotization. Proceedings of 2017 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2017. 2017, pp. 1—5. DOI: 10.1109/ICIEAM.2017.8076149.

6. Deryabin S. A., Rzazade Ulvi Azar ogly, Kondratev E. I., Temkin I. O. Metamodel of autonomous control architecture for transport process flows in open pit mines. MIAB. Mining Inf. Anal. Bull. 2022, no. 3, pp. 117—129. [In Russ]. DOI: 10.25018/0236_1493_2022_3_0_117.

7. Khakulov V. A. Technology of step-by-step improvement of drilling and blasting operations. MIAB. Mining Inf. Anal. Bull. 2007, no. 2, pp. 64—65. [In Russ].

8. Kuznetsov I. S., Sinov'ev V. V., Nikolaev P. I., Starodubov A. N. Simulation modeling computer-based system for optimizing the parameters of open-pit excavator-dump truck complexes. MIAB. Mining Inf. Anal. Bull. 2022, no. 6-1, pp. 304—316. [In Russ]. DOI: 10.25018/ 0236_1493_2022_61_0_304.

9. Klebanov A. F. Automation and robotization of surface mining: Experience of digital transformation. Russian Mining Industry Journal. 2020, no. 1, pp. 8—11. [In Russ].

10. Maharatkin P. N., Abdulaev E. K., Vishnyakov G. Yu., Pushkarev A. E. Increase of effectiveness of operation of dump trucks on the basis of justification of their rational speed with simulation modeling. MIAB. Mining Inf. Anal. Bull. 2022, no. 6-2, pp. 237—250. [In Russ]. DOI: 10.25018/0236_1493_2022_62_0_237.

11. Khazin M. L. Robotized dump trucks. News of the Ural State Mining University. 2020, no. 3(59), pp. 123—130. [In Russ]. DOI: 10.21440/2307-2091-2020-3-123−130.

12. Sekisov G. V., Cheban A. Yu., Sobolev A. A., Yakimov A. A. Grading system for integrated assessment of mining technologies. MIAB. Mining Inf. Anal. Bull. 2019, no. 4, pp. 187—198. [In Russ]. DOI: 10.25018/0236-1493-2019-04-0-187-198.

13. Khakulov V. A., Shapovalov V. A., Ignatov V. N., Ignatov M. V., Karpova Z. V., Khatukhova D. V. Digital transformation of mining and technological mapping of rock masses operational data. Proceedings of 2022 International Conference «Quality Management, Transport and Information Security, Information Technologies». 2022, pp. 90—93. DOI: 10.1109/ ITQMIS56172.2022.9976510.

14. Khakulov V. A., Shapovalov V. A., Ignatov V. N., Ignatov M. V., Karpova Z. V., Yaheev V. V. Digital transformation of operational data of intelligent hardware and software systems for automation and robotization of mining operations. Proceedings of 2022 International Conference «Quality Management, Transport and Information Security, Information Technologies». 2022, pp. 94—99. DOI: 10.1109/ITQMIS56172.2022.9976795.

15. Abbaspour H., Drebenstedt C., Badroddin M., Maghaminik A. Optimized design of drilling and blasting operations in open pit mines under technical and economic uncertainties by system dynamic modeling. International Journal of Mining Science and Technology. 2018, vol. 28, no. 6, pp. 839—848. DOI: 10.1016/j.ijmst.2018.06.009.

16. Demirel N., Taghizadeh A., Khouri S., Tyuleneva E. Optimization of the excavator-anddump truck complex at open pit mines — the case study. E3S Web of Conferences. 2018, vol. 41, no. 5, article 01006. DOI: 10.1051/e3sconf/20184101006.

17. Kuznetsov D., Kosolapov A. Dynamic of performance of open-pit dump trucks in ore mining in severe climatic environment. Transportation Research Procedia. 2022, vol. 63, pp. 1042— 1048. DOI: 10.1016/j.trpro.2022.06.104.

18. Mai N. L., Topalt E., Ertent O. A new open-pit mine planning optimization method using block aggregation and integer programming. Journal of the Southern African Institute of Mining and Metallurgy. 2018, vol. 118, no. 7, pp. 705—714. DOI: 10.17159/2411-9717/2018/v118n7a4.

19. Martínez P. L., Dintén R., Drake J. M., Zorrilla M. A big data-centric architecture metamodel for Industry 4.0. Future Generation Computer Systems. 2021, vol. 125, pp. 263—284. DOI: 10.1016/j.future.2021.06.020.

20. Kozyrev A. A., Fedotova I. V., Kasparian E. V. Integrated complex geomechanical monitoring system of hard rock mines. International Multidisciplinary Scientific GeoConference: SGEM 2016. 2016, vol. 2, pp. 497—504.

21. Ammirati L., Mondillo N., Rodas R. A., Sellers C., Di Martire D. Monitoring land surface deformation associated with gold artisanal mining in the Zaruma City (Ecuador). Remote Sensing. 2020, vol. 12, no. 13, article 2135.

22. Babets D., Sdvyzhkova O., Shashenko O., Kravchenko K., Cabana E. C. Implementation of probabilistic approach to rock mass strength estimation while excavating through fault zones. Mining of Mineral Deposits. 2019, vol. 13, no. 4, pp. 72—83.

23. Potapov V. P., Oparin V. N., Mikov L. S., Popov S. E. Information Technologies in Problems of Nonlinear Geomechanics. Part II: New Methods, Metadata Models, Geodata Bases and Base Layers of Electronic Charts for a Typical Geoportal of Mining Regions in Siberia. Journal of Mining Science. 2022, vol. 58, no. 4, pp. 635—651.

24. Phoon K. K., Zhang W. Future of machine learningo. in geotechnics. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards. 2022, pp. 1—16

Our partners

Подписка на рассылку

Раз в месяц Вы будете получать информацию о новом номере журнала, новых книгах издательства, а также о конференциях, форумах и других профессиональных мероприятиях.