Indexed By
Article Tools
Email this article (Login required)
Email the author (Login required)
About The Authors

A K Kirsanov
ORCID iD Siberian Federal University
Russian Federation

Assistant Professor of the Underground Mining Construction Department.

S A Vokhmin
Underground Mining Construction Department, Siberian Federal University, Krasnoyarsk
Russian Federation

G S Kurchin
Underground Mining Construction Department, Siberian Federal University, Krasnoyarsk
Russian Federation

E V Zaitseva
Underground Mining Construction Department, Siberian Federal University, Krasnoyarsk
Russian Federation

E P Volkov
Underground Mining Department, Siberian Federal University, Krasnoyarsk
Russian Federation

Author Guidelines

SJR Rank

SCImago Journal & Country Rank

Sinta Rank

Sinta Rank

Visitor Statistic

Grain-size composition predicting models after explosion in open-pit mining

A K Kirsanov, S A Vokhmin, G S Kurchin, E V Zaitseva, E P Volkov
  J. Degrade. Min. Land Manage. , pp. 1915-1919  
Viewed : 411 times


One of the main technological tasks facing mining engineers today is a reduction of the oversized fraction output. Currently, the efforts of scientists are aimed atdeveloping reliable grain-size composition predicting models for the extracting rock mass, as one of the initial factors for reducing economic losses throughout the technological cycle. However, many of the existing models do not consider the mutual influence of a number of factors, which explains the instability of the drilling and blasting performance indicators, their low efficiency and, as a result, an increased oversized fraction output. The model for grain-size composition predicting for mining enterprises will be interesting only if the proposed technological solution together with a pre-established fraction of rock mass will increase the efficiency of blasting operations with the desired reduction of all material and non-material expenditures. In this paper the authors give a brief overview of the global mining volumes; provides information on the extraction of key types of minerals, as well as revenues derived from their sale. They also specify the direction for future actions in creating a predicting model for the rock mass output of a certain fragmentation after the explosion.


blasting; fragmentation; economics; grain-size composition; resources; rock

Full Text:



Bakhtavar, E., Khoshrou, H. and Badroddin, M. 2015. Using dimensional-regression analysis to predict the mean particle size of fragmentation by blasting at the Sungun copper mine. Arabian Journal of Geosciences 8: 2111-2120. doi:10.1007/s12517-013-1261-2.

Chakraborty, А.К., Raina, A.K., Ramulu, M., Choudhury, P.B., Haidar, A., Sahu, P. and Bandopadhyay, C. 2004. Parametric study to develop guidelines for blast fragmentation improvement in jointed and massive formations. Engineering Geology 73:105-116.

Cunningham, C.V.B. 1987. Fragmentation estimations and the Kuz-Ram model - four years on. In Proceeding of 2nd International Symposium on Rock Fragmentation by Blasting. P. 475-478.

Fedorko, V.P. Methodological problems of open-cast mining technology. Dissertation thesis of doctor of science. Irkutsk, 1998. - 200 p.

Karenov, R.S. 2009. Problems of the development of an integrated structure of mining sciences and the theory of mining. Access mode: (circulation date July 02, 2019).

Kryukov, G.M., Dokutovich, M.I. and Zharovonko, S.N. 2011. Degree of crushing and output of oversize with the explosive loosening of rocks in quarries. Gornyy informacionno-analiticheskiy byulleten. №5. pp. 347-351.

Kulatilakc, P.H.S.W., Qiong, Wu., Hudaverdi, T. and Kuzu, C. 2010. Mean particle size prediction in rock blast fragmentation using neural networks / PHSW. Enineering Geology 114:298-311.

Kurchin, G.S., Volkov, E.P., Zaitseva, E.V. and Kirsanov, A.K. 2013. Problems of ecology in the extraction of non-metallic building materials in Russia. Sovremennye problemy nauki i obrazovaniya. №6. p.1.

Kuznetsov, V.A. 2010. Substantiation of a technology of drilling and blasting operations in quarries and open mining and construction workings on the basis of deformation zoning of blasted benches. Dissertation thesis of doctor of science. Moscow, 225 p.

Kuznetsov, V.M. 1973. The mean diameter of the fragments formed by blasting rock. Soviet Mining Science 9(2): 144-148.

Latham, J.P., Mculcn, J.V. and Dupray, S. 2006. Prediction of fragmentation and yield curves with reference to armourstone production. Engibeering Geology 87:60-74.

Reichl C., Schatz M. and Zsak, G. 2019 World Mining Data. Mineral Production. Volume 34. Vienna, 264 p.

Rozhdestvenskiy, V.N. 2012. Forecasting the quality of crushing of fractured mountain massifs in the case of a multiple-charge explosion of charges. Conference «Tekhnologiya i bezopasnost vzryvnyh rabot». Ekaterinburg: IGD UrO RAN. pp. 38–43.

Vasilchuk, Ya.V. 2012. Mathematical model for forecasting the granulometric composition of blasted rocks. Vіsnik KrNU іmenі Mihayla Ostrogradskogo. №4 (75). pp.94-99.

Vokhmin, S.A., Kurchin, G.S., Kirsanov, A.K., Shigin, A.O. and Shigina, A.A. 2017. Destruction of rock upon blasting of explosive agent. Journal of Engineering and Applied Sciences 12(13):3978-3986.

Vokhmin, S.A., Kurchin, G.S., Kirsanov, A.K., Lobatsevich, M.A., Shigin, A.O. and Shigina, A.A. 2018. Prospects of the use of grain-size composition predicting models after explosion in open-pit mining. International Journal of Mechanical Engineering and Technology 9(4): 1056-1069.


  • There are currently no refbacks.

Copyright (c) 2019 Journal of Degraded and Mining Lands Management

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Indexed By