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dc.date.accessioned2024-03-11T19:05:41Z
dc.date.available2024-03-11T19:05:41Z
dc.date.created2023-05-10T09:37:54Z
dc.date.issued2023
dc.identifier.citationNoel, Francois 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 . Highly energetic rockfalls: back analysis of the 2015 event from the Mel de la Niva, Switzerland. Landslides. Journal of the International Consortium on Landslides. 2023
dc.identifier.urihttp://hdl.handle.net/10852/109489
dc.description.abstractAbstract 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.
dc.languageEN
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleHighly energetic rockfalls: back analysis of the 2015 event from the Mel de la Niva, Switzerland
dc.title.alternativeENEngelskEnglishHighly energetic rockfalls: back analysis of the 2015 event from the Mel de la Niva, Switzerland
dc.typeJournal article
dc.creator.authorNoel, Francois
dc.creator.authorNordang, Synnøve Flugekvam
dc.creator.authorJaboyedoff, Michel
dc.creator.authorTravelletti, Julien
dc.creator.authorMatasci, Battista
dc.creator.authorDigout, Michaël
dc.creator.authorDerron, Marc-Henri
dc.creator.authorCaviezel, Andrin
dc.creator.authorHibert, Clément
dc.creator.authorToe, David
dc.creator.authorTalib, Miloud
dc.creator.authorWyser, Emmanuel
dc.creator.authorBourrier, Franck
dc.creator.authorToussaint, Renaud
dc.creator.authorMalet, Jean-Philippe
dc.creator.authorLocat, Jacques
cristin.unitcode185,15,4,98
cristin.unitnamePorous Media Laboratory SFF
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.cristin2146664
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Landslides. Journal of the International Consortium on Landslides&rft.volume=&rft.spage=&rft.date=2023
dc.identifier.jtitleLandslides. Journal of the International Consortium on Landslides
dc.identifier.volume20
dc.identifier.issue8
dc.identifier.startpage1561
dc.identifier.endpage1582
dc.identifier.pagecount0
dc.identifier.doihttps://doi.org/10.1007/s10346-023-02054-2
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn1612-510X
dc.type.versionPublishedVersion
dc.relation.projectNFR/262644


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