Assessment of Mine Haulage Drift Safety Using Probabilistic Methods of Analysis

Abdellah, Wael R.; Mitri, Hani S.; Thibodeau, Denis

doi:10.1016/j.proeng.2011.11.2412

Cited by 8 publications

(5 citation statements)

References 3 publications

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“…RMCS has successfully been applied in seepage analysis, mine pillar stability and slope stability analysis. The required number of simulations with RMC is significantly less compared with Regular Monte-Carlo simulation (MCS) [1,17].…”

Section: Random Monte-carlo Simulation (Rmcs)mentioning

confidence: 99%

Practical Application of Stochastic Methods in Geotechnical Engineering

Abdellah

2015

JES. Journal of Engineering Sciences

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Mine haulage drifts are the only stope access in sub-level stoping mining system. Thus, they must remain stable during their service life. Haulage drift instability could lead to serious consequences such as: production delay, damage to equipment, loss of reserves and high operational cost. The goal of this paper is the performance stability evaluation of mine haulage drifts with respect to mining sequence adopting different stochastic methods of analysis. A two-dimensional, elastoplastic, finite difference code (FLAC 2D) is used for this study. Stochastic analysis; adopting Point-Estimate Methods (PEMs), Monte-Carlo Simulation (MCS) and Random Monte-Carlo Simulation (RMCS) are then employed with the numerical modelling to tackle the inherent uncertainty associated with rockmass properties. Then, the probability of instability at last mining step (e.g., after excavating stope 3) is estimated for haulage drift side walls and roof. The stability indicators are defined in terms of displacement, stress and the extent of yield zones, which are adopted as a basis for assessing the performance stability of haulage drift. The stochastic results are presented and compared in terms of probability of occurrence at last mining stage (e.g., after excavating stope 3) adopting displacement/convergence criterion.

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Section: Random Monte-carlo Simulation (Rmcs)mentioning

confidence: 99%

Practical Application of Stochastic Methods in Geotechnical Engineering

Abdellah

2015

JES. Journal of Engineering Sciences

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“…This type of roadways is more vulnerable to mining-induced stress after removal of ore and is more likely to suffer from ground deformation and failure. Haulage drifts are utilized for transporting the blasted ore from a whole sublevel range (Abdellah et al, 2011), and damage to this type of roadways will seriously affect the routine production and increase the economic loss of a metal mine (Zhang and Mitri. 2008;Abdellah et al, 2011;Raju et al, 2013;Abdellah et al, 2014;Shnorhokian et al, 2016;Johnson et al, 2017;Shnorhokian et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Mining-induced deformation for a haulage drift of the hanging wall at Jinshandian iron mine in China

Yang

Chen²,

Sun³

et al. 2023

Front. Earth Sci.

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In this paper, mining-induced deformation for haulage drifts of the hanging wall at Jinshandian Iron Mine is investigated, based on 8 monitoring stations adopted laser convergence meters. Monitoring results are analyzed to divide deformation-time curves into three types: fluctuation type, partial folding type and whole folding type. Moreover, it is found that tensile deformation is easy to occur in the roadway section corresponding to no folding type and partial folding type. And in the roadway section with folding type curve, it is obviously affected by the steeply anti-inclined structural plane. Furthermore, the relative position relationship between mining activities and a monitoring station is established through local coordinate system. Mining effects on roadway deformation are studied based on rectangular coordinate components and polar coordinate components respectively. The critical value of coordinate components that have a significant impact on roadway deformation have been determined. At last, combined with results of mining impact analysis, deformation mechanisms corresponding to the three deformation curves are revealed. These results help determine the appropriate support time and adopt targeted support schemes.

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“…The results showed that when the stress around the roadway is greater than the strength of the surrounding rock and the ratio of principal stress around the roadway is large, the shear failure occurs in the surrounding rock, and a butterfly-shaped plastic zone can be formed. Abdellah et al (2011) evaluated the issue of haulage drift safety in mining activities using probabilistic methods. Aiming at the Linglong gold mine in China, Cai and Lai (2003) investigated the main influencing factors of the stability of the transport roadway by the coupled data mining techniques, and analyzed the acoustic emission signals and monitoring results.…”

Section: Introductionmentioning

confidence: 99%

Study on the evolution and prediction of fracture depth of surrounding rock in deep mining roadway based on numerical analysis and borehole detection

Zhao²,

Dai³

et al. 2022

Front. Earth Sci.

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The failure of surrounding rock in deep hard rock roadway is closely related to mining disturbance. In this study, the 13# stope ramp of −767 m level (at a buried depth of 1,197 m) at Hongtoushan copper mine was taken as the engineering background, a comprehensive analysis method of numerical analysis and borehole detection was put forward, and the evolution law of fracture depth of the ramp surrounding rock under the mining influence was obtained. The results show that the maximum tangential stress and fracture depth of the ramp surrounding rock on both sidewalls increase slowly at the initial mining stage. When the ore body above the ramp is mined, the maximum tangential stress and fracture depth of the ramp surrounding rock on both sidewalls increase rapidly, and the two parameters are positively correlated. Based on this, the ratio of the maximum tangential stress of the surrounding rock to the uniaxial compressive strength of intact rock (σθmax/σc) and the equivalent radius (a) of the roadway were used as parameters, and an equation for the fracture depth of the roadway surrounding rock was proposed. Through the case analysis, the results show that the proposed equation of fracture depth of the roadway surrounding rock has good prediction accuracy. This study enriches the research on the stability and failure mechanism of the roadway surrounding rock under the mining disturbance, and provides new basis for the support design of mining roadways.

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Assessment of Mine Haulage Drift Safety Using Probabilistic Methods of Analysis

Cited by 8 publications

References 3 publications

Practical Application of Stochastic Methods in Geotechnical Engineering

Practical Application of Stochastic Methods in Geotechnical Engineering

Mining-induced deformation for a haulage drift of the hanging wall at Jinshandian iron mine in China

Study on the evolution and prediction of fracture depth of surrounding rock in deep mining roadway based on numerical analysis and borehole detection

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