Predicting underground mining impact on the earth’s surface

User Rating:  / 0
PoorBest 

Authors:


D.T.Ivadilinova*, orcid.org/0000-0002-9731-0587, Non-profit joint-stock company “Abylkas Saginov Karaganda Technical University”, Karaganda, the Republic of Kazakhstan, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

T.K.Issabek, orcid.org/0000-0001-7718-933X, Non-profit joint-stock company “Abylkas Saginov Karaganda Technical University”, Karaganda, the Republic of Kazakhstan, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

D.K.Takhanov, orcid.org/0000-0002-2360-9156, Scientific Research Center ISM Group LLP, Karaganda, the Republic of Kazakhstan, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

G.B.Yeskenova, orcid.org/0000-0001-8184-4085, Non-profit joint-stock company “Abylkas Saginov Karaganda Technical University”, Karaganda, the Republic of Kazakhstan, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

* Corresponding author e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.


повний текст / full article



Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2023, (1): 032 - 037

https://doi.org/10.33271/nvngu/2023-1/032



Abstract:



Purpose.
Development of a digital model of the stress-strain state of a rock mass during the extraction of coal by an underground method to predict the displacement of the earth’s surface.


Methodology.
The proposed technique is based on modeling the stress-strain state of a rock mass using the finite element method. Computer simulation of the stress-strain state of the rock massif was carried out in the area of lavas worked out in previous years in layers with the index K of the Karaganda suite of the mine named after Kostenko of the Karaganda coal basin, where instrumental surveying measurements were previously made to monitor the vectors and numerical values of the displacements of the earth’s surface undermined by mining.


Findings.
The reliability of the obtained finite element model of a rock mass for predicting the process of displacement of rocks and the earth’s surface is confirmed by the results of full-scale instrumental mine surveying measurements on the earth’s surface.


Originality.
For the first time, a method has been proposed for predicting the shifts of points on the earth’s surface, taking into account the physical and mechanical properties of rocks, based on a finite element model of a rock mass. A new approach was applied to assess the reliability of the model of the stress-strain state of a rock mass based on a comparison of the results obtained with the data of instrumental mine surveying.


Practical value.
A technique for computer simulation of the stress-strain state of a rock mass during the extraction of hard coal at the mine named after Kostenko, owned by one of the world’s leading steel producers, JSC ArcelorMittal. For modeling, a site was chosen in the area of lava mining along the coal seams of the Karaganda Formation of seams, starting from the K18 seam to the K10 seam, that is, a rock mass with a depth of more than 700 m. Previously, within this area a series of instrumental surveying observations was carried out of the displacement of the earth’s surface during the working out of these lavas using the method of roof management – complete collapse. The obtained values of vertical displacements of a point on the earth’s surface according to the results of computer simulation of the stress-strain state of a rock mass correspond to the data of field mine surveying observations of displacements of the same point, which confirms the reliability of the constructed model.



Keywords:
modeling, stress-strain state of the massif, rocks, coal, displacement, earth’s surface

References.


1. Baykenzhin, M., Asanova, Z., Rashid, Z., Kasimov, A., Ivadilinova, D., & Zhunis, G. (2022). Modeling the influence of rolled profile strengtheners on the arch support load-bearing capacity. Mining of Mineral Deposits, 16(1), 84-91. https://doi.org/10.33271/mining16.01.084.

2. Ivadilinova, D. T., Zhunis, G. M., & Issabek, T. K. (2018). Geomechanical modeling of a rock massif in underground coal mining. Bulletin of Pavlodar State University named after S. Toraigyrov, Energy series, (2), 136-142.

3. Ignatiev, S. A., Sudarikov, A. E., & Imashev, A. Zh. (2019). Modern Mathematical Forecast Methods of Maintenance and Support Conditions for Mining Tunnel. Journal of Mining Institute, Saint-Petersburg Mining University, 238, 371-375. https://doi.org/10.31897/pmi.2019.4.371.

4. Ivadilinova, D. T., & Amrenov, K. K. (2014). Geodetic observations of technogenic processes. IX International Conference of Students and Young Scientists “Science and Education”. Eurasian National University n.a. L.N. Gumilyov, 4548-4552. Retrieved from https://dspace.enu.kz/handle/data/12174.

5. Adoko, A. C., Saadaari, F., Mireku-Gyimah, D., & Imashev, A. A. (2022). Feasibility Study on The Implementation of Neural Network Classifiers for Open Stope Design. Geotechnical and Geological Engineering: Springer, 40(2), 677-696. https://doi.org/10.1007/s10706-021-01915-8.

6. Rules for the protection of structures and natural objects from the harmful effects of underground mining in the Karaganda basin (current) (1997). Karaganda: KazNIMI. Retrieved from https://my-files.ru/tmx1da/ rules for the protection of structures from the harmful effects of underground mining in the Karaganda coal basin.pdf.

7. Kozhogulov, K. Ch., Takhanov, D. K., Kozhas, A. K., Imashev, A. Zh., & Balpanova, M. Zh. (2020). Methods of Forward Calculation of Ground Subsidence above Mines. Journal of Mining Science, 56(2), 184-195.

8. Kurlenya, M. V., Serdyukov, A. S., Chernyshov, G. S., Yablokov, A. V., Dergach, P. A., & Duchkov, A. A. (2016). Methods and results of studying the physical and mechanical properties of cohesive soils by the seismic method. Physical and technical problems of mineral development, (3), 3-10.

9. Karasev, M. A., & Sotnikov, R. O. (2021). Forecast of the stress state of sprayed concrete lining under multiple seismic impact. Notes of the Mining Institute, 251, 626-638. https://doi.org/10.31897/PMI.2021.5.2.

10. Wu, Zh., Xia, T., Nie, J., & Cui, F. (2020). The shallow strata structure and soil water content in a coal mining subsidence area detected by GPR and borehole data. Environmental Earth Sciences, 79, 500. https://doi.org/10.1007/s12665-020-09178-x.

11. Konovalova, Y. P., & Ruchkin, V. I. (2020). Assessment of influence of short-period geodynamic movements on stress-strain behavior of rock mass. Mining Informational and Analytical Bulletin, (3-1), 90-104. https://doi.org/10.25018/0236-1493-2020-31-0-90-104.

12. Khanal, M., Guo, H., & Adhikary, D. (2019). 3D Numerical Study of Underground Coal Mining Induced Strata Deformation and Subsequent Permeability Change. Geotechnical and Geological Engineering, 37, 235-249. https://doi.org/10.1007/s10706-018-0605-9.

13. Krutskikh, N. V. (2019). Assessment of the transformation of the natural environment in the zone of influence of mining enterprises using data from remote sensing of the earth. Mining magazine, (3), 88-93. https://doi.org/10.17580/gzh.2019.03.17.

14. Rybak, Ya., Khairutdinov, M. M., Kuziev, D. A., Kongar-Syu­ryun, Ch. B., & Babyr, N. V. (2022). Prediction of the geomechanical state of the massif during the development of salt deposits with backfilling. Notes of the Mining Institute, 253, 61-70. https://doi.org/10.31897/PMI.2022.2Н.

15. Dzhonek-Koval’ska, I., Ponomarenko, T. V., & Marinina, O. A. (2018). Problems of interaction with stakeholders during implementation of long-term mining projects. Journal of Mining Institute, 232, 428. https://doi.org/10.31897/pmi.2018.4.428.

16. Jovanovic, S., Gligoric, Z., Cedomir Beljic, C., Gluscevic, C. B., & Cvijovic, C. (2014). Fuzzy Model for Selection of Underground Mine Development System in a Bauxite Deposit. Arabian Journal for Science and Engineering, 39, 4529-4539. https://doi.org/10.1007/s13369-014-1173-9.

17. Zhang, M., Li, J., Zuo, Qu., Yao, L., Chen, H., & Liang, W. (2016). The Research of 3D Geological Modeling in the Main Mining Area and East Mining Area of Bayan Obo Deposit. GRMSE. Communications in Computer and Information Science, 699, 353-362. Springer, Singapore. https://doi.org/10.1007/978-981-10-3969-0_39.

18. Klishin, V. I., Anferov, B. A., & Kuznetsova, L. V. (2017). Directions for improving the development of thick seams with the release of coal of the subroofing thickness. Innovations in the fuel and energy complex and mechanical engineering: Sat. tr. International scientific-practical conference. Kemerovo, KuzSTU, 57-63. Retrieved from https://www.elibrary.ru/item.asp?id=28921001.

19. Kovalevska, I., Barabash, M., & Snihur, V. (2018). Development of a Research Methodology and Analysis of the Stress State of a Parting under the Joint and Downward Mining of Coal Seams. Mining of Mineral Deposits, 16(1), 76-84. https://doi.org/10.15407/mining12.01.076.

20. Vdovkina, D. I., Koshliakov, O. Y., Ponomareva, M. V., & Ponomareva, E. V. (2022). Estimation of clay swelling properties in karaganda territory using machine learning methods. Bulletin of the Tomsk Polytechnic University, Geo Assets Engineering, 333(2), 204-210. https://doi.org/10.18799/24131830/2022/2/3358.

21. Portnov, V. S., Filimonov, E. N., Mausymbaeva, A. D., Akhmatnurov, D. R., & Musin, R. A. (2016). Evaluation of the gas content of the K10 reservoir under the conditions of the Sherubaynura area based on the actual gas release data. Integrated use of mineral raw materials, (2), 3-10.

22. Joao Marcelo Leal Gomes Leite, Edilson F. Arruda, Laura Bahiense, & Lino G.Marujo (2020). Modeling the integrated mine-to-client supply chain: a survey. International Journal of Mining, Reclamation and Environment, 34(4), 247-293. https://doi.org/10.1080/17480930.2019.1579693.

23. Rajdeep, D., & Patrick, J. (2017). Finite volume-based modeling of flow-induced shear failure along fracture manifolds. International Journal for Numerical and Analytical Methods in Geomechanics, 41(18), 1922-1942. https://doi.org/10.1002/nag.2707.

24. Vikram, Sh., Jiraj, K., & Subrahmanyam, D. S. (2019). Influence of underground workings on the stress state of the rock mass. Physico-technical problems of mineral development, (2), 43-48.

25. Wang, H., Deng, D., Shi, R., Yang, G., Xu, Sh., & Jiang, Ya. (2020). Investigation of Fault Displacement Evolution During Extraction in Longwall Panel in an Underground Coal Mine. Rock Mechanics and Rock Engineering, 1809-1826. https://doi.org/10.1007/s00603-019-02015-z.

26. Issabek, T. K., Dyomin, V. F., & Ivadilinova, D. T. (2019). Methods for monitoring earthsurface displacement at points of small geodetic network under the underground method of coal development. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, (2), 13-21. https://doi.org/10.29202/nvngu/2019-2/2.

27. Ignatiev, S. A., Sudarikov, A. E., & Imashev, A. Zh. (2021). Determination of the stress-strain state of rock mass and zone of inelastic deformation around underground mine excavation using modern methods of numerical modeling. Journal of Sustainable Mining: Central Mining Institute, 20(3), 220-227. https://doi.org/10.46873/2300-3960.1324.

28. Belyaev, V. V., & Agafonov, V. V. (2020). Substantiation of parameters of technological systems of coal mines taking into account risks. Coal, (2), 24-31. https://doi.org/10.18796/0041-5790-2020-12-24-305.

29. Kozyrev, A. A., Panin, V. I., Semenova, I. E., & Rybin, V. V. (2019). Geomechanical support of mining operations at the mining enterprises of the Murmansk region. Mining magazine, (6), 45-50. https://doi.org/10.17580/gzh.2019.06.05.

30. Xiaojun, Zh., Guangli, G., Liu Hui, L., & Xiaoyu Ya. (2019). Surface subsidence prediction method of backfill-strip mining in coal mining. Bulletin of Engineering Geology and Environment, 78, 6235-6248. https://doi.org/10.1007/s10064-019-01485-3.

 

Visitors

5962276
Today
This Month
All days
412
7967
5962276

Guest Book

If you have questions, comments or suggestions, you can write them in our "Guest Book"

Registration data

ISSN (print) 2071-2227,
ISSN (online) 2223-2362.
Journal was registered by Ministry of Justice of Ukraine.
Registration number КВ No.17742-6592PR dated April 27, 2011.

Contacts

D.Yavornytskyi ave.,19, pavilion 3, room 24-а, Dnipro, 49005
Tel.: +38 (056) 746 32 79.
e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
You are here: Home Archive by issue 2023 Content №1 2023 Predicting underground mining impact on the earth’s surface