Title
Implementation of probabilistic approach to rock mass strength estimation while excavating through fault zones
Date Issued
01 January 2019
Access level
open access
Resource Type
journal article
Author(s)
Publisher(s)
Dnipro University of Technology
Abstract
Purpose. The paper addresses the rock mass state estimation while excavating a cross-heading through the area of regional fault “Bohdanivskyi” based on probabilistic approach to assessing the rock strength. Methods. The boundaries and fault zone extension are specified based on geological service database. This hazardous fault area has been confirmed, and the expected water inflow and methane emission have been identified based on the probe holes drilled ahead of the advancing face. To assess the strength of rocks, the statistical strength theory is used. Numerical simulation is performed using finite element method that is well-tested in geomechanical problems. Findings. The technique of rock mass strength estimation using structural factor based on statistical strength theory has been implemented to improve the adequacy of mathematical modeling. Numerical simulation of geomechanical processes based on finite element method and Hoek-Brown failure criterion is carried out. The changes of rock stress-strain state while excavating the cross-heading through various sites of the fault zone are determined depending on the level of rock disintegration. Originality. New regularities of rock mass behavior within the fault area are determined based on developed technique of rock strength assessment considering the rock mass disintegration and watering. Practical implications. Estimation of rock failure has resulted in designing the combination of support systems comprising metal sets, rockbolts and shotcrete.
Start page
72
End page
83
Volume
13
Issue
4
Language
English
OCDE Knowledge area
Estadísticas, Probabilidad
Geotecnia
Geología
Subjects
Scopus EID
2-s2.0-85076373299
Source
Mining of Mineral Deposits
ISSN of the container
24153435
Sources of information:
Directorio de Producción Científica
Scopus