Experimental investigations on complex block propagation for the assessment of propagation models quality - Archive ouverte HAL
Article Dans Une Revue Landslides Année : 2021

Experimental investigations on complex block propagation for the assessment of propagation models quality

Résumé

Rockfall propagation models are routinely used for the quantitative assessment of rockfall hazard. Their capacities and limitations remain difficult to assess due to the limited amount of exhaustive experimental data at the slope scale. This article presents experiments of block propagation performed in a quarry located in Authume (France). This study site was chosen for its complexity, related with the presence of topographical discontinuities and of configurations promoting block rolling. A total of more than one hundred blocks were released on two propagation paths. The propagation of the blocks was assessed by measuring the block stopping points as well as their kinematics at specific locations of the paths, called evaluation screens. Significant variability of the stopping points and of the block kinematics at the evaluation screens was observed and preferential transit and deposit zones were highlighted. The analysis of the results showed predominant effect of topography, in particular that related to topographical discontinuities. Significant influence of local and small scale parameters (e.g. block orientation, local topography) was also highlighted. These conclusions are of particular interest for researchers or practitioners who would like to assess the relevance of propagation modelling tools considering this complex study site. In this configuration, the quality of block propagation simulations should notably rely on the accuracy of digital terrain models, and on the integration of local conditions effects using physically based approaches.
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Dates et versions

hal-03129220 , version 1 (02-02-2021)

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Franck Bourrier, David Toe, Bruna Garcia, Julien Baroth, Stéphane Lambert. Experimental investigations on complex block propagation for the assessment of propagation models quality. Landslides, 2021, 18 (2), pp.639-654. ⟨10.1007/s10346-020-01469-5⟩. ⟨hal-03129220⟩
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