Andrijasevich, J, Basarir, H & Wesseloo, J 2019, 'Construction of a damage risk model for footwall drifts', in J Wesseloo (ed.), Proceedings of the First International Conference on Mining Geomechanical Risk
, Australian Centre for Geomechanics, Perth, pp. 273-288.
Current design of underground mine openings involves a great deal of uncertainty as the geotechnical domains in which mines operate are non-homogenous and highly variable in nature. Current industry practice largely follows a deterministic, Factor of Safety based approach. However, final decisions in mining operations are based on both risk and financial cost, rather than probability distributions or Factor of Safety.
The overall aim of the paper is to create a damage risk model for footwall drifts in a mine using the sublevel caving production method. Both numerical and probabilistic outcomes were used to evaluate and assess risk with the aid of a risk matrix. A number of parameters including rock properties, mining-induced stresses and the location of a drift relative to the weakness zone were considered. A special emphasis was placed on the economic consequences of the assessed risk and failure potential, described in terms of drift convergence. Considered economic consequences include rehabilitation, time duration, production loss exposure and delay flexibility, with particular focus applied to shareholder value and public reputation (PR). The associated costs were then compared to find the optimum location for the drift.
Keywords: risk-based design, probabilistic design, uncertainty, risk model
Abdellah, W, Mitri, HS, Thibodeau, D & Moreau-Verlaan, L 2014, ‘Risk indexing tool for mine planning’, Journal Of The Southern African Institute Of Mining And Metallurgy, vol. 114, pp. 435–444.
AusIMM 2012, Cost Estimation Handbook, AusIMM, Melbourne.
Beck, AT & Gomes, WJDS 2012, ‘A comparison of deterministic, reliability-based and risk-based structural optimization under uncertainty’, Probabilistic Engineering Mechanics, vol. 28, pp. 18–29.
Brown, ET 2012, ‘Risk assessment and management in underground rock engineering—an overview’, Journal of Rock Mechanics and Geotechnical Engineering, vol. 4, no. 3, pp. 193–204.
Contreras, LF 2015, ‘An economic risk evaluation approach for pit slope optimization’, Journal Of The Southern African Institute of Mining And Metallurgy, vol. 115, pp. 607–622.
Edelbro, C, Sjoberg, J, Malmgren, L & Dahner-Lindqvist, C 2012, ‘Prediction and follow-up of failure and fallouts in footwall drifts in the Kiirunavaara mine’, Canadian Geotechnical Journal, vol. 49, no. 5, pp. 546–559.
Idris, MA, Basarir, H, Nordlund, E & Wettainen, T 2013, ‘The probabilistic estimation of rock masses properties in Malmberget mine, Sweden’, The Electronic Journal of Geotechnical Engineering, vol. 18, no. B, pp. 269–287.
Joughin, W, Jager, A, Nezomba, E & Rwodzi, L 2012, ‘A risk evaluation model for support design in Bushveld Complex underground mines: part I-description of the model’, Journal of The Southern African Institute of Mining And Metallurgy, vol. 112, no. 2, pp. 83–94.
Joughin, W, Muaka, J, Mpunzi, P, Sewnun, D & Wesseloo, J 2016, ‘A risk-based approach to ground support design’, Proceedings of the Eighth International Symposium on Ground Support in Mining and Underground Construction, Luleå University of Technology, Luleå.
Poxleitner, G 2016, Operating Costs for Miners, SRK Consulting (Canada) Inc., Sudbury, viewed 18 February 2018,
Shekhar, G, Gustafson, A & Schunnesson, H 2017, Loading Procedure and Draw Control in LKAB’s Sublevel Caving Mines: Baseline Mapping Report, Luleå University of Technology, Luleå.
Wesseloo, J & Joughin, W 2019, internal document, Australian Centre for Geomechanics, Perth.