Stochastic evaluation of haulage drift unsatisfactory performance using random Monte-Carlo simulation

Abdellah, Wael R.; Mitri, Hani S.; Thibodeau, Denis; Moreau–Verlaan, Lindsay

doi:10.1504/ijmme.2012.048000

Cited by 10 publications

(10 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Based on the threshold of the failure criterion (1.4), the north wall is stable Table 9. Suggested ratings of likelihood and ranking of Pf (Abdellah et al 2012 (e.g., strength-to-stress ratio >1.40) through all mining sequences (although, the strength-to-stress ratio deteriorates as mining advances). For the roof, the unsatisfactory performance occurs after mining sequence 13 to the end of the mining steps.…”

Section: Probabilistic Analysis Resultsmentioning

confidence: 99%

“…The suggested ratings and rankings of likelihood of failure are listed in Table 9 (Abdellah et al 2012). The probability of unsatisfactory performance is plotted as shown in Figs.…”

Section: Probabilistic Analysis Resultsmentioning

confidence: 99%

“…This may be one of numerous conditions such as maximum permissible floor heave ratio or roof sag ratio, or allowable stress concentration factor (normally associated with linear elastic analyses), or a yielding condition such as Mohr-Coulomb or Hoek-Brown (Zhang and Mitri 2008;Abdellah et al 2012). The choice of a performance criterion is dependent on the application and field observations.…”

Section: Failure Evaluation Criteria (Performance Criteria)mentioning

confidence: 99%

“…The blasted ore from each stope is mucked out with loaders and transported from a draw point to a nearby ore pass or dumping point. Mine development such as haulage drifts, cross cuts, and intersections are the only access where loaders and (or) trucks travel through, and thus must remain stable throughout their service life (Zhang 2006;Zhang and Mitri 2008;Wei et al 2009Wei et al , 2012Abdellah et al 2011Abdellah et al , 2012Abdellah et al , 2013.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Stability of mine development intersections — a probabilistic analysis approach

et al. 2014

Self Cite

View full text Add to dashboard Cite

Mine developments, such as haulage drifts, cross-cuts, and intersections, are the only way to access valuable ore from mining zones; they link mine developments with the nearest ore access points. Thus, they must remain stable throughout their service life or production plan. Mine development instability can cause production delay, loss of reserves, as well as damage to equipment and injury to miners. This paper presents a stepwise methodology to assess the stability of mine development intersections with respect to the mine production plan. A case study, the #1 Shear East orebody at Vale Garson Mine in Sudbury, Ontario, is presented. A three-dimensional, elastoplastic, finite difference model (FLAC 3D) is created to simulate the development of an intersection situated 1.5 km below ground surface. The unsatisfactory performance of the intersection is evaluated in terms of strengthto-stress ratio with respect to mining sequence. A failure criterion is defined by a minimum strength-to-stress ratio of 1.4, and is used for mine developments (temporary openings). The intersection stability is evaluated at various mining stages and the modified "point-estimate method" (PEM) of (2n 2 + 1) is then invoked to study the probability of drift instability at the intersection. The results are presented and categorized with respect to probability, instability, and mining stage. Résumé :Les puits d'extractions, les intersections et les galeries sont des lieux de passage nécessaires pour extraire les minéraux de la zone d'exploitation dans une mine. Ils relient les fronts d'exploitation aux lieux de décharge et de stockage et doivent par conséquent rester stables tout au long de la durée d'exploitation prévue lors de l'étape de planification. Des instabilités des de ces développements miniers peuvent conduire à des délais d'exploitation supplémentaires, des pertes de ressources, une distribution de contraintes induites accrue, ainsi que des dommages aux équipements et au personnel d'exploitation. Cet article présente méthode d'affirmation pas à pas une de la stabilité d'une intersection de galeries tout en respectant le plan de production. Une étude de cas du gisement Shear Est #1 dans la mine de Garson exploitée par Vale à Sudbury, Ontario est présentée. Une modélisation numérique trois-dimensionelle en comportement élastique-plastique avec le logiciel FLAC 3D est réalisée pour simuler le comportement d'une intersection de galeries à une profondeur de 1500 m. La probabilité de performance insatisfaisante est calculée aux différentes étapes de la séquence minière grâce au ratio contrainte/résistance. Le facteur de sécurité est fixé à 1,4 (ouvertures temporaires). La méthode de « point estimate » (2n 2 + 1) est utilisée pour calculer la probabilité de performance insatisfaisante. Les résultats sont présentés et classés selon les probabilités, le type d'instabilité et l'étape de la séquence minière.Mots-clés : développements miniers, modélisation numérique, point-estimation de la méthode (PEM).

show abstract

Section: Probabilistic Analysis Resultsmentioning

confidence: 99%

“…The suggested ratings and rankings of likelihood of failure are listed in Table 9 (Abdellah et al 2012). The probability of unsatisfactory performance is plotted as shown in Figs.…”

Section: Probabilistic Analysis Resultsmentioning

confidence: 99%

Section: Failure Evaluation Criteria (Performance Criteria)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Stability of mine development intersections — a probabilistic analysis approach

et al. 2014

Self Cite

View full text Add to dashboard Cite

show abstract

“…The suggested ratings of probability and rankings are tabulated in Table 10 [7]. Probability of instability for the stochastic analyses are plotted in Fig.…”

Section: Probability Of Unsatisfactory Performancementioning

confidence: 99%

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

Abdellah¹,

Mitri²,

Thibodeau³

et al. 2013

JCEA

View full text Add to dashboard Cite

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.

show abstract