Authors: Matas, G; Lantada, N; Corominas, J; Ruiz-Carulla, R; Prades, A; Gili, J

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Matas, G, Lantada, N, Corominas, J, Ruiz-Carulla, R, Prades, A & Gili, J 2020, 'Calibration of a rockfall simulator with a fragmentation model in a real-scale test', in PM Dight (ed.), Proceedings of the 2020 International Symposium on Slope Stability in Open Pit Mining and Civil Engineering, Australian Centre for Geomechanics, Perth, pp. 1141-1148,

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In this contribution, we first present the tool RockGIS, which is a stochastic program for rockfall propagation simulation that takes fragmentation into account considering fractal laws. The results of real-scale field tests and several natural rockfall events inventoried have led to a formulation of a new fragmentation model which has been implemented into RockGIS code. The parameters of the power law that define the sizes of the generated fragments are computed at each impact according to the kinematic conditions. To calibrate the model, we used data from a real-scale rockfall test performed in a quarry. The sizes of the tested blocks were measured manually. Both the size and spatial distribution of the fragments after each release were measured from the orthophotos taken with systematic drone flights. Both rockfall block size distribution (RBSD) and runout distribution obtained after the calibration process matched satisfactory field data, and the spatial distribution of the modelled fragments is qualitatively similar to the one obtained in the test. Finally, the comparison of scenarios with and without fragmentation is presented.

Keywords: rockfall simulator, fragmentation, calibration, quarry, hazard

Corominas, J, Matas, G & Ruiz-Carulla, R 2019, ‘Quantitative analysis of risk from fragmental rockfalls’, Landslides, vol. 16, no. 1, pp. 5–21.
Gili, JA, Ruiz-Carulla, R, Matas, G, Corominas, J, Lantada, N, Núñez, MA, Mavrouli, O, Buill, F, Moya, J, Prades, A & Moreno, S 2016, ‘Experimental study on rockfall fragmentation: in situ test design and firsts results’, in S Aversa, L Cascini, L Picarelli, C Scavia (eds), Proceedings of the 12th International Symposium on Landslides, CRC Press, Boca Raton, pp. 983–990.
Gischig, V, Hungr, O, Mitchell, A & Bourrier, F 2015 ‘Pierre3D: a 3D stochastic rockfall simulator based on random ground roughness and hyperbolic restitution factors’, Canadian Geotechnical Journal, vol. 52, pp. 1–14.
Matas, G, Lantada, N, Corominas, J, Gili, JA, Ruiz-Carulla, R & Prades, A 2017, ‘RockGIS: A GIS-based model for the analysis of fragmentation in rockfalls’, Landslides, vol. 14, no. 5, pp. 1565–1578,
Ruiz-Carulla, R, Corominas, J & Mavrouli, O 2017, ‘A fractal fragmentation model for rockfall’, Landslides, vol. 14, no. 3, pp. 875–889,
Ruiz-Carulla, R & Corominas, J 2019, ‘Analysis of rockfalls by means of a fractal fragmentation model’, Journal of Rock Mechanics and Rock Engineering,
Wyllie, DC 2014, Rock Fall Engineering: Development and Calibration of an Improved Model for Analysis of Rock Fall Hazards on Highways and Railways, PhD thesis, The University of British Columbia, Vancouver.

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