Highly energetic rockfalls: back analysis of the 2015 event from the Mel de la Niva, Switzerland

Process-based rockfall simulation models attempt to better emulate rockfall dynamics to different degrees. As no model is perfect, their development is often accompanied and validated by the valuable collection of rockfall databases covering a range of site geometries, rock masses, velocities, and r...

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Veröffentlicht in:Landslides 2023-08, Vol.20 (8), p.1561-1582
Hauptverfasser: Noël, François, Nordang, Synnøve Flugekvam, Jaboyedoff, Michel, Travelletti, Julien, Matasci, Battista, Digout, Michaël, Derron, Marc-Henri, Caviezel, Andrin, Hibert, Clément, Toe, David, Talib, Miloud, Wyser, Emmanuel, Bourrier, Franck, Toussaint, Renaud, Malet, Jean-Philippe, Locat, Jacques
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Sprache:eng
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Zusammenfassung:Process-based rockfall simulation models attempt to better emulate rockfall dynamics to different degrees. As no model is perfect, their development is often accompanied and validated by the valuable collection of rockfall databases covering a range of site geometries, rock masses, velocities, and related energies that the models are designed for. Additionally, such rockfall data can serve as a base for assessing the model’s sensitivity to different parameters, evaluating their predictability and helping calibrate the model’s parameters from back calculation and analyses. As the involved rock volumes/masses increase, the complexity of conducting field-test experiments to build up rockfall databases increases to a point where such experiments become impracticable. To the author’s knowledge, none have reconstructed rockfall data in 3D from real events involving block fragments of approximately 500 metric tons. A back analysis of the 2015 Mel de la Niva rockfall event is performed in this paper, contributing to a novel documentation in terms of kinetic energy values, bounce heights, velocities, and 3D lateral deviations of these rare events involving block fragments of approximately 200 m 3 . Rockfall simulations are then performed on a “per-impact” basis to illustrate how the reconstructed data from the site can be used to validate results from simulation models.
ISSN:1612-510X
1612-5118
DOI:10.1007/s10346-023-02054-2