Research Article Open Access

Evaluation of the Stability of Underground Rock Pillars through a Probabilistic Approach

Massimo Guarascio1 and Pierpaolo Oreste2
  • 1 Department of Chemistry, Materials and Environmental Engineering (DICMA), Faculty of Engineering, University of Rome La Sapienza, via Eudossiana 18, 00184 Rome, Italy
  • 2 Department of Environmental, Land and Infrastructural Engineering (DIATI), Faculty of Engineering, Politecnico di Torino, corso Duca degli Abruzzi 24, 10129 Turin, Italy

Abstract

Problem statement: When the room and pillar mining method is adopted, the dimensioning of the rock pillars is one of the most important aspects that need to be faced from the engineering point of view. The available calculation methods are usually simplified and involve the areas of influence method for the evaluation of the mean axial stress induced in the pillar and the empirical formula to estimate the global strength of the pillar. Approach: A new probabilistic approach is proposed in this study concerning the evaluation of the degree of safety of a pillar, as far as rupture of the rock is concerned. This approach is based on the exact evaluation of the stress state inside the pillar and it takes into due consideration the typical uncertainty of the geomechanical parameters of the rock mass that makes up the pillar. Results and Conclusion: The pillar can therefore be dimensioned through an analysis of the cumulative probability distribution of the point safety factor in one or more points inside it.

American Journal of Applied Sciences
Volume 9 No. 8, 2012, 1273-1282

DOI: https://doi.org/10.3844/ajassp.2012.1273.1282

Submitted On: 17 May 2012 Published On: 30 June 2012

How to Cite: Guarascio, M. & Oreste, P. (2012). Evaluation of the Stability of Underground Rock Pillars through a Probabilistic Approach. American Journal of Applied Sciences, 9(8), 1273-1282. https://doi.org/10.3844/ajassp.2012.1273.1282

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Keywords

  • Finite Element Methods (FEM)
  • Finite Difference Methods (DFM)
  • geomechanical parameters
  • pillar mining method
  • cumulative probability distribution