Науковий вісник НГУ

Modeling of the earth’s surface subsidence during its undermining by stoping in coal mines

• 
• 

User Rating:  / 0

PoorBest 

Details

Category: Content №6 2020

Last Updated on 22 December 2020

Published on 30 November -0001

Hits: 1928

Authors:

O.Zelenskyi, orcid.org/0000-0001-8780-587X, Kryvyi Rih Economic Institute SHEE Kyiv National Economic University named after Vadym Hetman, Kryvyi Rih, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

V.Lysenko, orcid.org/0000-0002-5200-1211, Kryvyi Rih Economic Institute SHEE Kyiv National Economic University named after Vadym Hetman, Kryvyi Rih, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

M.Alekseyev, orcid.org/0000-0001-8726-7469, Dnipro University of Technology, Dnipro, Ukraine, e-mail This email address is being protected from spambots. You need JavaScript enabled to view it.

V.Vlasov, orcid.org/0000-0003-2011-1085, Dnipro University of Technology, Dnipro, Ukraine, 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. 2020, (6): 121 - 127

https://doi.org/10.33271/nvngu/2020-6/121

Abstract:

Purpose. To substantiate methods for modeling the earths surface subsidence in the process of its undermining by stoping in the Western Donbas mines. The methods make it possible to develop the automated system determining areas and volume of the earths surface flooding to minimize hydroecologic risks while closing down mines in the Western Donbas.

Methodology. The work substantiates methods to model processes of the earths surface subsidence helping identify areas of the flooded surface as well as its volume. Therefore, the two types of models (the interpolation model and polynomial one) to construct surfaces with a regular network have been considered. The models make it possible to get adequate idea of surfaces; moreover, they are the basis to calculate volumes, represented in the form of total unit prisms in terms of network node.

Findings. The developed mathematical and algorithmic apparatus has made it possible to develop effective models of the earths surface and an aquifer as well as to calculate the zone volumes between the reference earths surface and the consolidated one as well as between the aquifer to identify the flooded areas.

Originality. Methods to model processes of the earths surface subsidence for hydroecologic risk minimization in the process of mine closing down are substantiated.

Practical value. The work develops hardware and software to provide efficient modeling of the earths surface subsidence while mining coal seams and to reduce errors while calculating the immersed surface zone volumes.

Keywords: automation, subsidence, surface modeling, immersion, hydroecologic risks

References.

1. Kolchina, M.E., Konovalov, V.E., & Kolchina, N.V. (2017). Problems of safety and organization of rational land use of industrial towns within influence zones of underground mine workings. Proceedings of Ural State Mining University, 1(45), 37-43. https://doi.org/10.21440/2307-2091-2017-1-37-43.

2. Vichugova, A.A. (2016). Automation of software engineering process: methods and techniques. Applied Informatics, 11(3), 63-75. Retrieved from http://earchive.tpu.ru/bitstream/11683/37406/1/reprint-nw-15418.pdf.

3. Bondarenko, V., Kovalevska, I., Symanovych, G., Sotskov,V., & Barabash, M. (2018). Geomechanics of interference between the operation modes of mine working support elements at their loading. Mining Science, (25), 219-235. https://doi.org/10.5277/msc182515.

4. Kuchin, O.S., Chemakina, M.V., & Balafin, I.E. (2017). Displacement of undermining rock mass above the moving longwall. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, (1), 55-60.

5. Dychkovskiy, R.O., Lozynskiy, V.H., Saik, P.B., Dubiei,Y.T., Caceres Cabana, E., & Shavarskyi, I.T. (2019). Technological, lithological and economic aspects of data geometrization in coal mining. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, (5), 22-28. https://doi.org/10.29202/nvngu/2019-5/4.

6. Entin, A.L. (2019). Opportunities to apply geoinformation technologies to reconstruct and analyze historical surfaces of terrain. Historic informatics, (4), 97-107. https://doi.org/10.7256/2585-7797.2019.4.31692.

7. Teplov, A.A., & Maikov, K.A. (2017). Experimental studies of the modified algorithm of Delaunay triangulation. System administrator, (11), 93-95.

8. Altaeva, A., Sedina, S., Baltieva, A., & Kashnikov, Ju. (2017). Method for creating a 3D model of the field with the use of geoinformation technologies. Journal of Geography and Environmental Management, (45), 94-102. https://doi.org/10.26577/JGEM.2017.2.386.

9. Rotz, M., & Trynoski, R. (2018). 3D geologic modelling and mine planning to improve quarry and plant efficiency at cement operations. In 2018 IEEE-IAS/PCA Cement Industry Conference, (pp. 1-8). Nashville, USA: IAS/PCA. https://doi.org/10.1109/CITCON.2018.8373089.

10. Gordon Scott, V., & Clevenger, J. (2018). Computer Graphics Programming in OpenGL with C. Sterling: Stylus Publishing. ISBN: 978-1683922216.

11. Raymond, C.H., & William, C.Y. (2015). OpenGL Data Visualization Cookbook. Birmingham: Packt Publishing LTD.ISBN: 978-1782169727.

12. Zelenskiy, A.S., Baran, S.V., & Lysenko, V.S. (2012). Automation geological survey software in the management information system ore mines: monograph. Kryvyi Rih: Publishing Center SHEE NUC. Retrieved from http://pnap.ap.edu.pl/index.php/pnap/article/view/173.

13. Kessenich, J., Sellers, G., & Shreiner, D. (2016). OpenGL Programming Guide: The official guide to learning OpenGL, version 4.5 with SPIR-V, Ninth edition. Boston: Addison-Wesley Professional. ISBN: 978-0134495491.

• < Prev
• Next >