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Original Paper

UDC 681.5 © L.K. Khalkecheva, R.K. Khalkechev, 2022

ISSN 0041-5790 (Print) • ISSN 2412-8333 (Online) • Ugol’ – Russian Coal Journal, 2022, № 4, pp. 50-52

DOI: http://dx.doi.org/10.18796/0041-5790-2022-4-50-52





Khalkecheva L.K.1, Khalkechev R.K.2


1Academy of Fundamental Sciences, Stavropol, 355007, Russian Federation

2National University of Science and Technology ”MISIS” (NUST ”MISIS”), Moscow, 119049, Russian Federation


Authors Information

Khalkecheva L.K., Research Associate, e-mail: kyzy@bk<st1< a="">:personname >.ru

Khalkechev R.K., Doctor Engineering Sciences, Associate Professor, Professor of “Infocommunication technologies” department, e-mail: syrus@list<st1< a="">:personname >.ru



The presented article describes an automated system that allows real-time monitoring of the transport berm condition for landslide forecasting in the form of subsidence. The forecast of the landslide hazard in the proposed automated system is carried out on the basis of the developed mathematical model that presents the transport berm as a three-dimensional percolation lattice. That sort of lattice consists of elements corresponding to the textural inhomogeneities of the transport berm section. Within the framework of computer modeling, it is investigated for the clusters detection that corresponds to the main cracks forming the landslide body. In this case, percolation is carried out according to the fracture criterion that simultaneously takes into account: the elementary volume, inhomogeneous stress field, strength properties of textural inhomogeneities, deformation properties of rocks, as well as the dynamic load from the movement of the transport vehicle along the berm of coal pit.


Berm, Stress field, Coal pit, Mathematical model, Percolation lattice, Subsidence, Cluster, Elementary volume.


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For citation

Khalkecheva L.K. & Khalkechev R.K. Automated monitoring system of transport berms condition for landslide danger in the form of subsidence. Ugol’, 2022, (4), pp. 50-52. (In Russ.). DOI: 10.18796/0041-5790-2022-4-50-52.

Paper info

Received January 17, 2022

Reviewed January 31, 2022

Accepted March 22, 2022


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