Comparing Flow-R, Rockyfor3D and RAMMS to Rockfalls from the Mel de la Niva Mountain: A Benchmarking Exercise

Détails

Ressource 1Télécharger: geosciences-13-00200-v3.pdf (51199.75 [Ko])
Etat: Public
Version: Final published version
Licence: CC BY 4.0
ID Serval
serval:BIB_6659B92FEDC4
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Comparing Flow-R, Rockyfor3D and RAMMS to Rockfalls from the Mel de la Niva Mountain: A Benchmarking Exercise
Périodique
Geosciences
Auteur⸱e⸱s
Noël François, Nordang Synnøve Flugekvam, Jaboyedoff Michel, Digout Michael, Guerin Antoine, Locat Jacques, Matasci Battista
ISSN
2076-3263
Statut éditorial
Publié
Date de publication
30/06/2023
Peer-reviewed
Oui
Volume
13
Numéro
7
Pages
200
Langue
anglais
Résumé
Abstract
Rockfall simulations are often performed at various levels of detail depending on the required safety margins of rockfall-hazard-related assessments. As a pseudo benchmark, the simulation results from different models can be put side-by-side and compared with reconstructed rockfall trajectories, and mapped deposited block fragments from real events. This allows for assessing the objectivity, predictability, and sensitivity of the models. For this exercise, mapped data of past events from the Mel de la Niva site are used in this paper for a qualitative comparison with simulation results obtained from early calibration stages of the Flow-R 2.0.9, Rockyfor3D 5.2.15 and RAMMS::ROCKFALL 1.6.70 software. The large block fragments, reaching hundreds of megajoules during their fall, greatly exceed the rockfall energies of the empirical databases used for the development of most rockfall models. The comparison for this challenging site shows that the models could be improved and that combining the use of software programs with different behaviors could be a workaround in the interim. The findings also highlight the inconvenient importance of calibrating the simulations on a per-site basis from onsite observations. To complement this process, a back calculation tool is briefly described and provided. This work also emphasizes the need to better understand rockfall dynamics to help improve rebound models.
Mots-clé
rockfall, simulation, benchmark, CONEFALL, Flow-R, Rockyfor3D, RAMMS
Web of science
Open Access
Oui
Création de la notice
01/09/2023 12:24
Dernière modification de la notice
12/11/2023 8:19
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