Stability of underground mine development intersections during the life of a mine plan

Abdellah, Wael R.; Raju, G.D.; Mitri, Hani S.; Thibodeau, Denis

doi:10.1016/j.ijrmms.2014.09.002

Cited by 26 publications

(11 citation statements)

References 6 publications

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“…Currently, a 3-dimensional mine wide model which represents the real geometry of Garson Mine and includes the dyke, shear zones and all other geological units is calibrated based on in-situ stress measurements and validated with underground instruments such as deformation monitoring (MPBX) [8].…”

Section: Discussionmentioning

confidence: 99%

Estimating Probability of Instability of Haulage Drift with Respect to Mining Sequences

Abdellah¹,

Mitri²,

Thibodeau³

et al. 2013

JCEA

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Abstract:Haulage drifts play a vital role in providing personnel and equipment access to ore extraction areas for mine production. Thus, their stability is of crucial importance during the life of a mine plan. Many Canadian mines use longhole mining methods or one of its variants. These methods require access to the orebody through haulage drifts on multiple levels. This paper examines the stability of mine haulage drifts with respect to planned mining sequence. A case study of an underground mine is presented. The case study examines #1 Shear East of the Garson Mine in Sudbury, Ontario. A two-dimensional, elastoplastic, finite difference model (FLAC 2D) is developed for a haulage drift situated 1.5 km below surface in the footwall of the orebody. The stability of the haulage drift is evaluated in terms of the spread of yield zones into the rockmass due to nearby mining activities. The performance of the drift stability is evaluated at various mining stages, employing the RMC (Random Monte-Carlo) technique in conjunction with finite difference modeling to study the probability of unsatisfactory performance of the drift. The results are presented and categorized with respect to probability, instability and mining stage.

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Section: Discussionmentioning

confidence: 99%

Estimating Probability of Instability of Haulage Drift with Respect to Mining Sequences

Abdellah¹,

Mitri²,

Thibodeau³

et al. 2013

JCEA

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“…The chamber deformation of the underground stope is the focus of rock mechanics workers and mine managers, and it affects the production capacity of mines and the safety of personnel directly (Abdellah et al 2014;Brown 2012). Displacement prediction is one of the most critical challenges in mining, and it is of profound signi cance to mining safety.…”

Section: Introductionmentioning

confidence: 99%

Chamber roof deformation prediction and analysis of underground mining using experimental design methodologies

et al. 2022

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The deformation prediction of the chamber roof is crucial in underground mining. Combined with Flac3D numerical simulation, the experimental design methodologies, including single-factor test (SFT), Plackett-Burman design (PBD), steepest ascent design (SAD), and response surface methodology (RSM), were used to evaluate the effect of multiple variables on the chamber roof deformation. Firstly, eight factors that affected the vertical displacement (D s ) of the chamber roof were selected, and the sensitive interval of every factor was obtained through SFT. Then, four factors that signi cantly affect the results were screened by PBD: cohesion (C o ), stope length (L s ), stope width (W s ), and internal friction angle (f r ). 29 groups of response surface schemes with 4 factors and 3 levels satisfying the Box-Behnken design (BBD) were simulated. Through the result analysis of variance (ANOVA) and sensitivity, the in uence order of each factor on D s can be determined: W s >L s >f r > C o >interaction between C o and f r > interaction between L s and W s . Finally, using the prediction model, the roof deformation of 0#N stope of a lead-zinc mine was predicted and the error was analyzed. The relative errors between the prediction value and the numerical simulation value, the measured value are 0.7% and 4.3%, respectively, which indicates that the prediction model is reasonable and has a certain reference value for mine safety. HighlightsAn assessment has been made on the effect of orebody properties, orebody dip angle, and stope structure parameters on chamber roof deformation.Four factors that had a signi cant impact on the chamber roof deformation were screened out through Plackett-Burman design.A quadratic polynomial prediction model was set up through response surface methodology. The individual and interactive effects of four factors on displacement have determined signi cant.

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“…Goodman et al [3] suggested a tunnel design method that considers the effects of jointed rock masses in underground mine tunnels. Abdellah et al [4] performed a stability evaluation of the intersection point during the development process of an underground mine. Wang et al [5] analyzed toxic gas accidents that occur in underground coal mines.…”

Section: Introductionmentioning

confidence: 99%

Self-Driving Algorithm and Location Estimation Method for Small Environmental Monitoring Robot in Underground Mines

Kim¹,

Choi²

2021

Computer Modeling in Engineering &Amp; Sciences

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In underground mine environments where various hazards exist, such as tunnel collapse, toxic gases, the application of autonomous robots can improve the stability of exploration and efficiently perform repetitive exploratory operations. In this study, we developed a small autonomous driving robot for unmanned environmental monitoring in underground mines. The developed autonomous driving robot controls the steering according to the distance to the tunnel wall measured using the light detection and ranging sensor mounted on the robot to estimate its location by simultaneously considering the measured values of the inertial measurement unit and encoder sensors. In addition, the robot autonomously drives through the underground mine and performs environmental monitoring using the temperature/humidity, gas, and particle sensors mounted on the robot. As a result of testing the performance of the developed robot at an amethyst mine in Korea, the robot was found to be able to autonomously drive through tunnel sections with ∼28 m length, ∼2.5 m height, and ∼3 m width successfully. The average error of location estimation was approximately 0.16 m. Using environmental monitoring sensors, temperature of 15-17 • C, humidity of 42%-43%, oxygen concentration of 15.6%-15.7%, and particle concentration of 0.008-0.38 mg/m 3 were measured in the experimental area, and no harmful gases were detected. In addition, an environmental monitoring map could be created using the measured values of the robot's location coordinates and environmental factors recorded during autonomous driving.

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Stability of underground mine development intersections during the life of a mine plan

Cited by 26 publications

References 6 publications

Estimating Probability of Instability of Haulage Drift with Respect to Mining Sequences

Estimating Probability of Instability of Haulage Drift with Respect to Mining Sequences

Chamber roof deformation prediction and analysis of underground mining using experimental design methodologies

Self-Driving Algorithm and Location Estimation Method for Small Environmental Monitoring Robot in Underground Mines

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