Journal of Degraded and Mining Lands Management
Vol 7, No 1 (2019)

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

A K Kirsanov (Siberian Federal University)
S A Vokhmin (Underground Mining Construction Department, Siberian Federal University, Krasnoyarsk)
G S Kurchin (Underground Mining Construction Department, Siberian Federal University, Krasnoyarsk)
E V Zaitseva (Underground Mining Construction Department, Siberian Federal University, Krasnoyarsk)
E P Volkov (Underground Mining Department, Siberian Federal University, Krasnoyarsk)



Article Info

Publish Date
01 Oct 2019

Abstract

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.

Copyrights © 2019






Journal Info

Abbrev

jdmlm

Publisher

Subject

Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology

Description

Journal of Degraded and Mining Lands Management is managed by the International Research Centre for the Management of Degraded and Mining Lands (IRC-MEDMIND), research collaboration between Brawijaya University, Mataram University, Massey University, and Institute of Geochemistry, Chinese Academy of ...