Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloInvestigating the Susceptibility to Failure of a Rock Cliff by Integrating Structure-from-Motion Analysis and 3D Geomechanical Modelling
Anno di pubblicazione2020
FormatoElettronico
Autore/iMichele Perrotti, Danilo Godone, Paolo Allasia, Marco Baldo, Nunzio Luciano Fazio, Piernicola Lollino
Affiliazioni autoriIRPI, National Research Council, Section of Bari, 70126 Bari, Italy IRPI, National Research Council, Section of Turin, 10135 Turin, Italy IRPI, National Research Council, Section of Turin, 10135 Turin, Italy IRPI, National Research Council, Section of Turin, 10135 Turin, Italy IRPI, National Research Council, Section of Bari, 70126 Bari, Italy IRPI, National Research Council, Section of Bari, 70126 Bari, Italy
Autori CNR e affiliazioni
  • MICHELE PERROTTI
  • PIERNICOLA LOLLINO
  • MARCO BALDO
  • PAOLO ALLASIA
  • NUNZIO LUCIANO FAZIO
  • DANILO FRANCESCO STEFANO GODONE
Lingua/e
  • inglese
AbstractMulti-temporal UAV and digital photo surveys have been acquired between 2017 and 2020 on a coastal cliff in soft rocks in South-Eastern Italy for hazard assessment and the corresponding point clouds have been processed and compared. The multi-temporal survey results provide indications of a progressive deepening process of erosion and detachment of blocks from the mid-height portion of the cliff, with the upper stiffer rock stratum working provisionally as a shelf against the risk of general collapse. Based on the DEM model obtained, a three-dimensional geomechanical finite element model has been created and analyzed in order to investigate the general stability of the cliff and to detect the rock portions which are more susceptible to failure. Concerning the evolving erosion process, active in the cliff, the photogrammetric analyses and the modeling simulations result in agreement and a proneness to both local and general instabilities has been achieved.
Lingua abstractinglese
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RivistaRemote sensing (Basel)
Attiva dal 2009
Editore: Molecular Diversity Preservation International - Basel
Lingua: inglese
ISSN: 2072-4292
Titolo chiave: Remote sensing (Basel)
Titolo proprio: Remote sensing. (Basel)
Titolo abbreviato: Remote sens. (Basel)
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DOI10.3390/rs12233994
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)-
Parole chiaveUAV, Photogrammetry, Point clouds, Image acquisition, Photographs matching, TIN surface, Structure from motion, 3D modelling, FEM analysis, General/local instability
Link (URL, URI)https://www.mdpi.com/2072-4292/12/23/3994
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Strutture CNR
  • IRPI — Istituto di ricerca per la protezione idrogeologica
Moduli/Attività/Sottoprogetti CNR
  • TA.P05.010.001 : Tecniche e tecnologie per il monitoraggio dei parametri che caratterizzano le evoluzioni morfologiche di alvei e versanti instabili.
  • DTA.AD003.141.001 : Sviluppo sistemi monitoraggio innovativi
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