National University of Science and Technology–NUST MISIS (Moscow, Russia)

Khalkechev R. K., Professor, Doctor of Engineering Sciences, Associate Professor, syrus@list.ru
Kalashnikov E. A., University of Science and Technology—NUST MISIS, Associate Professor, Candidate of Engineering Sciences
Solodov S. V., Head of Institute, Candidate of Engineering Sciences, Associate Professor

The presented article proposes an automated system for analyzing potentially dangerous sites of pitwall slopes in terms of rotational landslides. An algorithm is deve loped to implement the automated system software, which enables analysis of potential landslide bodies with regard to nonuniform distributions of rock densities and displacements caused by rainfall. The algorithm application allows identifying two types of instability of pitwall slopes—local and global. The local instability results from rotation of a potential landslide body, leading to minor rock displacements toward the lower bench of the pit. This type of instability poses no significant danger to mining operations. The global instability is characterized by rotation of a landslide body as a whole, followed by subsequent destruction and collapse of rock mass toward the lower bench. The automated system software architecture comprises three subsystems. The first subsystem collects data on rock moisture, density and displacements on a test pitwall slope site using geodetic equipment, moisture sensors and laboratory density tests. The second subsystem analyzes these data to detect the local and global instability. Finally, the third subsystem processes and stores all relevant datasets on rock densities, displacements and moisture content for the studied area. To verify the adequacy of the obtained solutions, the proposed system was tested at the Dzhegonas Quarry in the Karachay-Cherkess Republic of the Russian Federation. The results showed that for the proposed system, the performance metric—percentage of correct decisions in the analysis of slope stability in terms of rotational landslide occurrence—was 90%. Meanwhile, for the software tools previously used at the quarry, this figure was 60%.

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