Mining technology adaptation criterion

Mining practice prefers the adaptive strategy as it enables full use of the available ability to perform correct acts. Effective solution of perpetual theoretical and engineering problems in mining requires renewal of planning and design philosophy of mining technology according to the adaptive strategy in real time. With this circumstance taken into account, the appropriate mining problems have been set and solved. The article also scrutinizes the functional aspect of the adaptation criterion towards extension to other problems in mining. In terms of the solved problem on the optimized adaptive arrangement of stoping blocks, the iterative algorithm of solution is presented. It includes the description of the problem situation yielding the adaptation criterion with the disclosure of its functional aspect. Aimed to improve understanding of the adaptive strategy, the likeliness and differences are presented for the two systems analyzed in the article: the technical system (TS) and the natural-and-technical system (NTS). One of the major trends of TS development is adaptation to the environmental challenges and their control. In this manner, the system tends to idealization. Our objective is to demonstrate the same trend in NTS. The presented adaptation concept is applicable to other mining problems, considering their specific nature as well as demands imposed by the technical system and miner on the problem under solution. It is important to distinguish the main criterion of functioning of the system this problem forms.

Keywords: adaptation, adaptive strategy, natural environment, factor of mineralization, prediction, optimization, geomechanics.
For citation:

Rakhimbekov S. M. Mining technology adaptation criterion. MIAB. Mining Inf. Anal. Bull. 2020;(3):105-113. [In Russ]. DOI: 10.25018/0236-1493-2020-3-0-105-113.

Acknowledgements:
Issue number: 3
Year: 2020
Page number: 105-113
ISBN: 0236-1493
UDK: 622.228:550.82
DOI: 10.25018/0236-1493-2020-3-0-105-113
Article receipt date: 25.02.2019
Date of review receipt: 28.05.2019
Date of the editorial board′s decision on the article′s publishing: 20.02.2020
About authors:

S.M. Rakhimbekov, Dr. Sci. (Eng.), Academician of the NAMS of the Republic of Kazakhstan,
Satpayev Kazakh National Research Technical University, Almaty, Kazakhstan, e-mail: Rahimbekov_s@mail.ru

 

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Bibliography:

1. Rakhimbekov S.M. Optimization of structural parameters of stoping blocks. Gornyy informatsionno-analiticheskiy byulleten’. 2013, no 4, pp. 46—50. [In Russ].

2. Rakhimbekov S.M., Kim Е. АAutomation of mineralization variability assessment techniques. Gornyy informatsionno-analiticheskiy byulleten’. 2007, pp. 76—83. [In Russ].

3. Rakhimbekov S.M. Adaptatsiya v gornom dele. Monografiya [Adaptation in mining. Monograph], Laplambert Academic Publishing GmbH&Co. KG, 2015, 414 p.

4. Arjang B. Database on Canadian in situ ground stresses. CANMET mining and mineral scinces laboratories. Division Report MMSL 01—029, Mach 2001 (revised 2014).

5. Al'tshuller G. Algoritm izobreteniya, 3-e izd. [Invention algorithm, 3rd edition], Moscow, 2014, 215 p.

6. Ostrovsky D. , Rodenski Y. Data base. Apress, 2015.

7. Tsekhanovskiy V.V., Chertovskoy V.D. Upravlenie dannymi. Uchebnik [Data control. Textbook], Saint-Petersburg, Lan', 2015, 432 p.

8. Bychkov I.V., Oparin V.N., Potapov V.P. Cloud technologies in solution of mining geoinformation science problems. Fiziko-tekhnicheskiye problemy razrabotki poleznykh iskopayemykh. 2014, no 1. [In Russ].

9. Rodkin M.V., Pisarenko V.F., Ngo Thi Lu, Rukavishnikova Т.А. On potential representations of the distribution law of rare strongest earthquakes. Geodynamics & Tectonophysics. 2014. Vol. 5. No 4. Pp. 893—904.

10. Shestopalov I.P., Kharin E.P. Relationship between solar activity and global seismicity and neutrons of terrestrial origin. Russian Journal of Earth Sciences, 2014. Vol. 14. No 1. Pp. 1—10. DOI: 10.2205/2014ES000536.

11. Vikulin A.V. Geodynamics as wave dynamics of the medium composed of rotating blocks. Geodynamics & Tectonophisics. 2015. Vol. 6. No 3. P. 345—364.

12. Marinho A., Tipe L.M. Traditional versus stochastic mine planning under material type and grade uncertainties. Application of Computers and Operations Research in the Mineral Industry — Proceedings of the 37th International Symposium, APCOM 2015.

13. Kubrin S.S., Mazanik E.V., Kigalov N.N. Automated system of process design decisionmaking support and integrated synthesis monitoring. Gornyy informatsionno-analiticheskiy byulleten’. 2014. Special edition 1, pp. 267—278. [In Russ].

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