Authors: Montoya, J; Morales, J; Hamman, E

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DOI https://doi.org/10.36487/ACG_repo/2645_56

Cite As:
Montoya, J, Morales, J & Hamman, E 2026, 'A new software-based methodology for applying Laubscher’s empirical charts to estimate caving angles and evaluate subsidence surfaces in caving mining projects', in A van As, D Cumming-Potvin & J Wesseloo (eds), Caving 2026: Proceedings of the Sixth International Conference on Block and Sublevel Caving, Australian Centre for Geomechanics, Perth, pp. 1-14, https://doi.org/10.36487/ACG_repo/2645_56

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Abstract:
Laubscher’s empirical charts for the estimation of cave angles are widely used in caving mining as a straightforward method for estimating the extension of the zone affected by caving. This method is usually applied in two vertical sections (e.g. north–south and east–west) and considers a simplified geometry of the planned mine. In this article a new methodology for the application of Laubscher’s empirical method is proposed, based on a 3D block model with detailed information of rock mass (RMR90) and mine geometry. The use of the block model makes it possible to identify the zones potentially affected by the mining process, and to define in detail the adjustments required for the calculation of mining rock mass rating (MRMR) due to water, weathering, joints orientation, mining-induced stresses and blasting. The representation of the mine inside the block model allows one to explicitly consider the effects of geometry changes between sublevels in the shape and extension of the final caving surface. Laubscher’s methodology was automatised using R programming language, making it possible to perform the analysis in multiple vertical sections (e.g. 180 sections every 1° azimuth) and to evaluate the sensitivity of the results to the input parameters in a fast and efficient way. The main results of the proposed methodology are the 3D empirical caving surface and the subsidence area associated with the planned mine. The methodology was applied during the feasibility study of a sublevel caving mining project in Colombia, with very good agreements between the empirical estimation of the caving surface and the results of subsequent numerical modelling. The proposed methodology could become a powerful tool in the planning of caving mining projects, including the design of critical infrastructure and the evaluation of environmental impacts.

Keywords: cave angles, subsidence, block model, RMR90, MRMR, mine geometry, Laubscher’s empirical charts

References:
Basson, F 2026, GEM4D, computer software, https://www.basrock.net
Brown, ET 2002, Block Caving Geomechanics, Julius Kruttschnitt Mineral Research Centre, Indooroopilly.
Contreras, C, Elmo, D, Jakubec, J & Thomas, A 2022, ‘Reviewing Laubscher’s empirical method to estimate subsidence limits’, in Y Potvin (ed.), Caving 2022: Proceedings of the Fifth International Conference on Block and Sublevel Caving, Australian Centre for Geomechanics, Perth, pp. 805–818,
Ding, H, Chen, S, Chang, S, Li, G & Zhou, L 2020, ‘Prediction of surface subsidence extension due to underground caving: a case study of Hemushan iron mine in China’, Mathematical Problems in Engineering, vol. 2020,
Egaña, M & Ortiz, JM 2013, ‘Assessment of RMR and its uncertainty by using geostatistical simulation in a mining project’, Journal of GeoEngineering, vol. 8, no. 3, pp. 83–90.
Eivazy, H, Esmaieli, K & Jean, R 2017, ‘Modelling geomechanical heterogeneity of rock masses using direct and indirect geostatistical conditional simulation methods’, Rock Mechanics and Rock Engineering, vol. 50, pp. 3175–3195,
s00603-017-1293-0
Jakubec, J & Laubscher, DH 2000, ‘The MRMR rock mass classification system in mining practice’, MassMin 2000, The Australasian Institute of Mining and Metallurgy, Melbourne.
Karzulovic, A, Caviedes, P & Pardo, C 1999, ‘Subsidencia por efecto del caving mina El Teniente’ (Subsidence due to the effect of caving at the El Teniente mine), Proceedings of SIMIN 1999, pp. 9–14.
Laubscher, DH 1990, ‘A geomechanics classification system for the rating of rock mass in mine design’, Journal of the South African Institute of Mining and Metallurgy, vol. 90, no. 10, pp. 257–273.
Laubscher, DH 2000, ‘Block caving manual’, International Caving Study, Julius Kruttschnitt Mineral Research Centre and Itasca Consulting Group, Inc.
Laubscher, DH & Jakubec, J 2001, ‘The MRMR rock mass classification for jointed rock masses’, in WA Hustrulid & RL Bullock (eds), Underground Mining Methods, Society for Mining, Metallurgy and Exploration, Littleton, pp. 475–481.
R Core Team 2024, R: A Language and Environment for Statistical Computing, computer software, R Foundation for Statistical Computing, Vienna, https://www.R-project.org/
Sillitoe, RH 2010, ‘Porphyry copper systems’, Economic Geology, vol. 105, no. 1, pp. 3–41,
Woo, KS, Eberhardt, E, Elmo, D & Stead, D 2013, ‘Empirical investigation and characterization of surface subsidence related to block cave mining’, International Journal of Rock Mechanics and Mining Sciences, vol. 61, pp. 31–42,
j.ijrmms.2013.01.015




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