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Sergey Yu. Devyatkov
Sergey Yu. Devyatkov
Researcher, Ph.D.
Mining Institute of the Ural Branch of the RAS
Researcher, Ph.D.
Mining Institute of the Ural Branch of the RAS

Articles

Geotechnical Engineering and Engineering Geology
  • Date submitted
    2022-07-15
  • Date accepted
    2022-12-13
  • Date published
    2023-02-27

Mathematical modelling of displacement during the potash ores mining by longwall faces

Article preview

In favourable mining conditions, in particular at the Starobinskoye potash deposit (Belarus), longwall mining systems are used. They cause a high human-induced load on the subsoil, including intense deformation of the ground surface. The presented investigations are aimed at studying the dynamics of the ground surface displacement during the longwall face advance. Mathematical modelling was carried out in an elastic-plastic formulation with numerical implementation by the finite element method. The condition for the roof rocks collapse was opening of the contact between the seams when its boundaries were reached by shear fractures or formation of the tensile stresses area at the outcrop. With the working front advance, an increase in subsidence is observed, followed by its stabilization to a value determined by the process parameters of mining operations and the physical and mechanical properties of collapsed rocks. In this case, each point of the ground surface experiences sign-alternating horizontal deformations: when the front approaches, it causes tension, and when it moves away, compression. The obtained results of mathematical modelling are in good agreement with the data of instrumental measurements of the ground surface displacements, which indicates the adequate description of the rock mass deformation during the slice excavation of sylvinite seams by longwall faces.

How to cite: Baryakh A.A., Devyatkov S.Y., Denkevich E.T. Mathematical modelling of displacement during the potash ores mining by longwall faces // Journal of Mining Institute. 2023. Vol. 259. p. 13-20. DOI: 10.31897/PMI.2023.11