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Establishing the influence of the quarry depth on the indicators of cyclic flow technology during the development of non-ore deposits

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Category: Content №1 2024

Last Updated on 29 February 2024

Published on 30 November -0001

Hits: 2019

Authors:

B.Yu.Sobko, orcid.org/0000-0002-6872-8458, Dnipro University of Technology, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

O.V.Lozhnikov*, orcid.org/0000-0003-1231-0295, Dnipro University of Technology, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

M.O.Chebanov, orcid.org/0000-0002-6681-2701, Dnipro University of Technology, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

V.P.Kriachek, orcid.org/0009-0007-3701-072X, Limited liability company Unigran, Kyiv, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

* Correspondent 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. 2024, (1): 005 - 012

https://doi.org/10.33271/nvngu/2024-1/005

Abstract:

Purpose. To determine the efficiency of the cyclic flow technology at the development of non-ore deposits depending on the location of haulage level, mobile crushing and sorting plants with variable productivity of the enterprise.

Methodology. The research implemented the following methods: analytical method – to establish the dependence of the required number of dump trucks at the enterprise on the depth of non-ore quarry development at a given annual productivity; simulation modelling – to determine the influence of the mining depth of a non-ore quarry on the haulage distance of mining mass to the surface of the quarry.

Findings. The performance indicators of the haulage system for the development of a non-ore quarry using dump trucks and conveyor transport in combination with a mobile crushing complex, as well as a mobile crushing and sorting plant on the haulage level, were determined. It was established that the use of cyclic flow technology with a mobile crushing complex on the haulage level allows reducing the haulage distance by 1.9 times at a quarry depth of 150 m.

Originality. The dependence of the dump trucks productivity and their required number on the depth and production capacity of a non-ore quarry when using the haulage mining system was established. It was determined that an increase in the quarry depth from 50 to 150 m will lead to an increase in the number of dump trucks by 2.6 to 3.6 times, depending on the quarry productivity. At the same time, the use of cyclic flow technology with a mobile crushing complex in the quarry allows increasing the productivity of dump trucks by 2.1 times from 94.1 to 197.6 thousand tons/year due to the reduction of the haulage distance of dump trucks from 2525 to 575 m.

Practical value. A methodology for determining the impact of the quarry depth on the parameters of the mining haulage complex has been developed when using the technique of cyclic and current action on non-ore raw material quarries, which takes into account the location of the mobile crushing and sorting plant, changes in the depth and annual productivity of the quarry, its area and parameters of the trenches. The indicators of the cyclical-flow mining technology, necessary for the further technical and economic assessment of the proposed solutions, have been established.

Keywords: quarry, non-ore deposits, dump truck, cyclic flow technology, mobile crusher

References.

1. Symonenko, V. I., Haddad, J. S., Cherniaiev, O. V., Rastsvieta­iev, V. O., & Al-Rawashdeh, M. O. (2019). Substantiating systems of open-pit mining equipment in the context of specific cost. Journal of The Institution of Engineers (India): Series D, 100, 301-305. https://doi.org/10.1007/s40033-019-00185-2.

2. Cherniaiev, O., Pavlychenko, A., Romanenko, O., & Vovk, Y. (2021). Substantiation of resource-saving technology when mining the deposits for the production of crushed-stone products. Mining of Mineral Deposits. https://doi.org/10.33271/mining15.04.099.

3. Carvalho, F. P. (2017). Mining industry and sustainable development: time for change. Food and Energy security, 6(2), 61-77. https://doi.org/10.1002/FES3.109.

4. Ishchenko, K., Konoval, V., & Lohvyna, L. (2019). An effective way to rock mass preparation on metallic and nonmetallic quarries Ukraine. E3S Web of Conferences, 109, 00031. EDP Sciences. https://doi.org/10.1051/e3sconf/201910900031.

5. Braun, T., Hennig, A., & Lottermoser, B. G. (2017). The need for sustainable technology diffusion in mining: Achieving the use of belt conveyor systems in the German hard-rock quarrying industry. Journal of Sustainable Mining, 16(1), 24-30. https://doi.org/10.1016/J.JSM.2017.06.003.

6. Sdvyzhkova, O., Moldabayev, S., Bascetin, A., Babets, D., Kuldeyev, E., Sultanbekova, Z., ..., & Issakov, B. (2022). Probabilistic assessment of slope stability at ore mining with steep layers in deep open pits. Mining of Mineral Deposits, 16(4). https://doi.org/10.33271/mining16.04.011.

7. Dryzhenko, A., Moldabayev, S., Shustov, A., Adamchuk, A., & Sarybayev, N. (2017). Open pit mining technology of steeply dipping mineral occurences by steeply inclined sublayers. International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM, 17(13), 599-606. https://doi.org/10.5593/sgem2017/13/s03.076.

8. Kawalec, W., Król, R., & Suchorab, N. (2020). Regenerative belt conveyor versus haul truck-based transport: Polish open-pit mines facing sustainable development challenges. Sustainability, 12(21), 9215. https://doi.org/10.3390/su12219215.

9. Paricheh, M., Osanloo, M., & Rahmanpour, M. (2017). In-pit crusher location as a dynamic location problem. Journal of the Southern African Institute of Mining and Metallurgy, 117(6), 599-607. https://doi.org/10.17159/2411-9717/2017/v117n6a11.

10. Owolabi, A. O. (2019). Loading and haulage equipment selection for optimum production in a granite quarry. International Journal of Mining Science, 5, 35-40. https://doi.org/10.20431/2454-9460.0502004.

11. Shamsi, M., Pourrahimian, Y., & Rahmanpour, M. (2022). Optimisation of open-pit mine production scheduling considering optimum transportation system between truck haulage and semi-mobile in-pit crushing and conveying. International Journal of Mining, Reclamation and Environment, 36(2), 142-158. https://doi.org/10.1080/17480930.2021.1996983.

12. Khussan, B., Abdiev, A., Bitimbayev, M., Kuzmin, S., Issagulov, S., & Matayev, A. (2022). Substantiation and development of innovative container technology for rock mass lifting from deep open pits. Mining of Mineral Deposits, 16(4). https://doi.org/10.33271/mining16.04.087.

13. Abbaspour, H., Drebenstedt, C., Paricheh, M., & Ritter, R. (2019). Optimum location and relocation plan of semi-mobile in-pit crushing and conveying systems in open-pit mines by transportation problem. International Journal of Mining, Reclamation and Environment, 33(5), 297-317. https://doi.org/10.1080/17480930.2018.1435968.

14. Shustov, O., & Perkova, T. (2022). Methodological principles of the selection of a resource-saving technology while developing water-bearing placer deposits. Mining of Mineral Deposits, 16(3). https://doi.org/10.33271/mining16.03.115.

15. Tolovkhan, B., Smagulova, A., & Khuangan, N. (2023). Studying rock mass jointing to provide bench stability while Northern Katpar deposit developing in Kazakhstan. Mining of Mineral Deposits, 17(2), 99-111. https://doi.org/10.33271/mining17.02.099.

16. Colangelo, F., Navarro, T. G., Farina, I., & Petrillo, A. (2020). Comparative LCA of concrete with recycled aggregates: A circular economy mindset in Europe. The International Journal of Life Cycle Assessment, 25, 1790-1804. https://doi.org/10.1007/s11367-020-01798-6.

17. Gorova, A., Pavlychenko, A., Borysovs’ka, O., & Krups’ka, L. (2013). The development of methodology for assessment of environmental risk degree in mining regions. Annual Scientific-Technical Colletion – Mining of Mineral Deposit, 207-209. https://doi.org/10.1201/b16354-38.

18. Sdvyzhkova, O., Babets, D., Kravchenko, K., & Smirnov, A. V. (2015). Rock state assessment at initial stage of longwall mining in terms of poor rocks of Western Donbass. New Developments in Mining Engineering: Theoretical and Practical Solutions of Mineral Resources Mining, 65-70. https://doi.org/10.1201/B19901-13.

19. Drebenstedt, C. (2017). Selection of environmentally safe open-pit technology for mining water-bearing deposits. Mining of Mineral Deposits, 11(3), 70-75. https://doi.org/10.15407/mining11.03.070.

20. Levytskyi, V., & Skyba, G. (2019). Conceptual development of the transition from drill and blast excavation to non-blasting methods for the preparation of mined rock in surface mining. Rudarsko-geološko-naftni zbornik, 34(3). https://doi.org/10.17794/rgn.2019.3.3.

21. Yu, H., & Zahidi, I. (2023). Environmental hazards posed by mine dust, and monitoring method of mine dust pollution using remote sensing technologies: An overview. Science of The Total Environment, 864, 161135. https://doi.org/10.1016/j.scitotenv.2022.161135.

22. Gumenik, I. (2015). Current condition of damaged lands by surface mining in Ukraine and its influence on environment. New Developments in Mining Engineering, 2015, 139. https://doi.org/10.1201/B19901-26.

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