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Pavel E. Verbilo
Pavel E. Verbilo
Associate Professor, Ph.D.
Saint Petersburg Mining University
Associate Professor, Ph.D.
Saint Petersburg Mining University

Articles

Geotechnical Engineering and Engineering Geology
  • Date submitted
    2021-04-20
  • Date accepted
    2022-04-26
  • Date published
    2022-07-13

Prediction of the stress-strain state and stability of the front of tunnel face at the intersection of disturbed zones of the soil mass

Article preview

The article presents a numerical solution of the spatial elastic-plastic problem of determining the stability of the tunnel face soils at the intersection of disturbed zones of the soil mass. The relevance of the study is related to the need to take into account the zones of disturbed soils when assessing the face stability to calculate the parameters of the support. Based on the finite element method implemented in the PLAXIS 3D software package, the construction of a finite element system "soil mass-disturbance-face support" and modeling of the intersection of the disturbed zones of the soil mass were performed. To assess the condition of soils, deformation and strength criteria are taken. The deformation criterion is expressed by the value of the calculated displacement of the tunnel contour in the face, and the strength criterion - by the safety coefficient until the maximum values of the stress state are reached according to the Coulomb–Mohr criterion. The results of the study are presented in the form of histograms of the safety coefficient dependences on the distance to the disturbance at different bending stiffness of the face support structure, as well as the isofields of deformation development. The parameters of rockfall formation in the face zone at the intersection of zones of disturbed soils were determined. The local decrease in strength and deformation properties in the rock mass along the tunnel track should be taken into account when assessing the stability of the tunnel face and calculating the parameters of the support. Within the framework of the constructed closed system, a qualitative agreement of the simulation results with the case of a collapse in the face during the construction of the Vladimirskaya-2 station of the St. Petersburg Metro was obtained.

How to cite: Protosenya A.G., Alekseev A.V., Verbilo P.E. Prediction of the stress-strain state and stability of the front of tunnel face at the intersection of disturbed zones of the soil mass // Journal of Mining Institute. 2022. Vol. 254. p. 252-260. DOI: 10.31897/PMI.2022.26
Mining
  • Date submitted
    2016-09-03
  • Date accepted
    2016-11-24
  • Date published
    2017-02-26

Research of compression strength of fissured rock mass

Article preview

The article examines a method of forecasting strength properties and their scale effect in fissured rock mass using computational modelling with final elements method in ABAQUS software. It shows advantages of this approach for solving tasks of determining mechanical properties of fissured rock mass, main stages of creating computational geomechanic model of rock mass and conducting a numerical experiment. The article presents connections between deformation during loading of numerical model, inclination angle of main fracture system from uniaxial and biaxial compression strength value, size of the sample of fissured rock mass and biaxial compression strength value under conditions of apatite-nepheline rock deposit at Plateau Rasvumchorr OAO «Apatit» in Kirovsky region of Murmanskaya oblast. We have conducted computational modelling of rock mass blocks testing in discontinuities based on real experiment using non-linear shear strength criterion of Barton – Bandis and compared results of computational experiments with data from field studies and laboratory tests. The calculation results have a high-quality match to laboratory results when testing fissured rock mass samples. 

How to cite: Protosenya A.G., Verbilo P.E. Research of compression strength of fissured rock mass // Journal of Mining Institute. 2017. Vol. 223. p. 51. DOI: 10.18454/PMI.2017.1.51