Methodology for designing multiparameter processes for control of the stress-strain state of a rock mass

Authors

  • А.О. Хорольський Відділення фізики гірничих процесів Інституту геотехнічної механіки ім. М.С. Полякова Національної академії наук України, Дніпро, Україна Author
  • А.В. Косенко Відділення фізики гірничих процесів Інституту геотехнічної механіки ім. М.С. Полякова Національної академії наук України, Дніпро, Україна Author
  • І.І. Чоботько Відділення фізики гірничих процесів Інституту геотехнічної механіки ім. М.С. Полякова Національної академії наук України, Дніпро, Україна Author

DOI:

https://doi.org/10.33271/crpnmu/70.046

Keywords:

rock mass, design, parameter, technology, operation, mine working, goaf, software

Abstract

Purpose. To develop a new approach to the design of multi-parameter processes for controlling the stress-strain state of a rock mass based on the use of a decomposition approach and optimization algorithms. Methodology. To solve the problem, a complex method was applied, which consists in formalizing alternative technological solutions for managing the stress-strain state of a rock mass by converting it into network models. Further application of optimization algorithms on network models and graphs makes it possible to choose the most optimal technology for the construction or operation of mine workings. Findings. A methodological approach to the design of processes for managing the stress-strain state of a rock mass has been developed. For this, a decomposition approach was used as a decision-making tool, which made it possible to take into account the variety of parameters that affect the efficiency of the construction or operation of mine workings. After selecting decision-making tools, a criterion was proposed for evaluating the effectiveness of construction or operation of mine workings, taking into account the probabilistic reliability and costs of construction or operation. To design multi-parameter processes for controlling the stress-strain state, technological cycles for the construction and operation of mine workings support were studied using alternative technologies and materials, which made it possible to identify common stages and proceed to the formalization of the problem of finding the optimal technology. The formalization procedure provided for the presentation of alternative technologies and solutions in the form of a network model. Further application of optimization algorithms made it possible to determine the most optimal type of fastening from the standpoint of minimizing the optimization parameter. Originality. An algorithmic procedure for the process of designing multi-parameter processes for controlling the stress-strain state of a rock mass based on the use of a decomposition approach has been developed and presented, which made it possible to take into account the diversity in nature and degree of influence of parameters, as well as to determine the most optimal methods for constructing or operating mine workings. Practical implications. The criteria for the effectiveness of the process of construction or operation of mine workings are determined, which made it possible to proceed to the generalization of the technological stages of construction and operation of mine workings, regardless of the type of support. Based on the use of optimization algorithms on networks and graphs, a decision support system was created that allows automating the design process, as well as determining the most optimal technology for the construction and operation of mine workings, depending on a given optimization parameter.

References

1. BazalukO, PetlovanyiM, ZubkoS, LozynskyiV. & SaiK. (2021). Instability Assessment of Hanging Wall Rocks during Underground Mining of Iron Ores. Minerals, 11 (8):858. https://doi.org/10.3390/min11080858

2. Fomychov, V., Fomychova, L., Khorolskyi, A., Mamaikin, O., & Pochepov, V. (2020). Determining optimal border parameters to design a reused mine working. ARPN Journal of Engineering and Applied Sciences, 15 (24), 3039-3049.

3. Bondarenko, V. I., Kovalevska, I. A., Podkopaiev, S. V., Sheka, I. V., & Tsivka, Y. S. (2022, June). Substantiating arched support made of composite materials (carbon fiber-reinforced plastic) for mine workings in coal mines. In IOP Conference Series: Earth and Environmental Science (Vol. 1049, No. 1, p. 012026). IOPPublishing. https://doi.org/10.1088/1755-1315/1049/1/012026

4. Шека, І. В., & Цівка, Є. С. (2021). Обґрунтування вуглепластику як інноваційного матеріалу для кріплення гірничих виробок вугільних шахт. Збірник Наукових Праць НГУ, 64 , 112–121. https://doi.org/10.33271/crpnmu/64.112

5. Bazaluk, O., Ashcheulova, O., Mamaikin, O., Khorolskyi, A., Lozynskyi, V., & Saik, P. (2022). Innovative Activities in the Sphere of Mining Process Management. Frontiers in Environmental Science , 304. https://doi.org/10.3389/fenvs.2022.878977

6. Petlovanyi M.V., Zubko S.A., Popovych V.V., & Sai K.S. 2020. Physicochemical mechanism of structure formation and strengthening in the backfill massif when filling underground cavities. Voprosy Khimii i Khimicheskoi Technologii , 6 , 142-150. https://doi.org/10.32434/0321-4095-2020-133-6-142-150

7. Petlovanyi, M., Malashkevych, D., Sai, K., Bulat, I., & Popovych, V. (2021). Granulometric composition research of mine rocks as a material for backfilling the mined-out area in coal mines. Mining of Mineral Deposits , 15 (4), 122-129. https://doi.org/10.33271/mining15.04.122

8. Kosenko, A. V. (2021). Improvement of sub-level caving mining methods during high-grade iron ore mining. Natsional'nyi Hirnychyi Universytet. Naukovyi Visnyk , (1), 19-25. https://doi.org/10.33271/nvngu/2021-1/019

9. Khorolskyi, A., Hrinov, V., & Kaliushenko, O. (2019). Network models for searching for optimal economic and environmental strategies for field development. Procedia Environmental Science, Engineering and Management , 6 (3), 463-471.

10. Griniov, V., Nazymko, V., Zakharova, L., & Diedich, I. (2017). Distant interaction of rock mass clusters around underground opening. Mining of Mineral Deposits , 11 (2), 79-83. https://doi.org/10.15407/mining11.02.079

11. Гріньов, В. Г., & Хорольський, А. О. (2019). Оптимальне проектування параметрів гірничозбагачувальних підприємств для раціонального освоєння цінних родовищ України. Физико-технические проблемы горного производства , (21), 128–145.

12. Хорольський, А. О., & Гріньов, В. Г. (2020). Оцінка і вибір параметрів при розробці родовищ корисних копалин . Физико-технические проблемы горного производства , (22), 118-140. https://doi.org/10.37101/ftpgp22.01.009

13. Гріньов, В.Г., Хорольський, А.О., & Виноградов, Ю.О. (2019). Технологічні аспекти спорудження виробок у складних гідрогеологічних умовах. Геотехнічна механіка , (149), 132-141. https://doi.org/10.15407/geotm2019.149.132

14. Szurgacz, D., & Brodny, J. (2020). Adapting the powered roof support to diverse mining and geological conditions. Energies, 13 (2), 405. https://doi.org/10.3390/en13020405

15. Szurgacz, D., Borska, B., Zhironkin, S., Diederichs, R., & Spearing, A. J. (2022). Optimization of the Load Capacity System of Powered Roof Support: A Review. Energies , 15 (16), 6061. https://doi.org/10.3390/en15166061

16. Khorolskyi, A., Mamaikin, O., Medianyk, V., Lapko, V., & Sushkova, V. (2021). Development and implementation of technical and economic model of the potential of operation schedules of coal mines. ARPN Journal of Engineering and Applied Sciences , 16 (18), 1890-1899.

17. Spanjol, J., Mühlmeier, S., & Tomczak, T. (2012). Strategic orientation and product innovation: Exploring a decompositional approach. Journal of Product Innovation Management , 29 (6), 967-985. https://doi.org/10.1111/j.1540-5885.2012.00975.x

18. Shin, H. C., & Marsh, J. C. (2022). Identifying relative strength of methadone versus health and social services in comprehensive substance use disorder treatment using a variance decomposition approach. Evaluation and Program Planning , 92 , 102060. https://doi.org/10.1016/j.evalprogplan.2022.102060

19. Szeliski, R. (2022). Computer vision: algorithms and applications . Springer Nature.

20. Arora, R. K. (2015). Optimization: algorithms and applications . CRC Press.

21. Hrinov, V., & Khorolskyi, A. (2018). Improving the process of coal extraction based on the parameter optimization of mining equipment. In E3S Web of Conferences (Vol. 60, p. 00017). EDP Sciences. https://doi.org/10.1051/e3sconf/20186000017

22. Krukovska, V., & Vynohradov, Y. (2019). Water stability influence of host rocks on the process of water filtration into mine working with frame and roof-bolting support. In E3S Web of Conferences (Vol. 109, p. 00041). EDP Sciences. https://doi.org/10.1051/e3sconf/201910900041

23. Krukovskyi, O., Krukovska, V., Vynohradov, Y. (2017). Mathematical modeling of unsteady water filtration in anchored mine workings. Mining of Mineral Deposits , 11 (2), 21-27. https://doi.org/10.15407/mining11.02.021

24. Vladyko, O., Kononenko, M., & Khomenko, O. (2012). Imitating modeling stability of mine workings. Geomechanical processes during underground mining , 147-150.

Published

2020-01-01

Issue

Section

Статті