Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloBackward automatic calibration for three-dimensional landslide models
Anno di pubblicazione2020
Formato-
Autore/iTitti G.; Bossi G.; Zhou G.G.D.; Marcato G.; Pasuto A.
Affiliazioni autoriDICAM-UNIBO, Department of Civil, Chemical, Environmental and Materials Engineering, Alma Mater Studiorum University of Bologna, Viale Risorgimento 2, Bologna, 40136, DICAM-UNIBO, Department of Civil, Chemical, Environmental and Materials Engineering, Alma Mater Studiorum University of Bologna, Viale Risorgimento 2, 40136, Bologna, Italy, , Italy; IRPI-CNR, Research Institute for Geo-Hydrological Protection, National Research Council, C.so Stati Uniti, 4, Padova, 35127, IRPI-CNR, Research Institute for Geo-Hydrological Protection, National Research Council, C.so Stati Uniti, 4, 35127, Padova, Italy, , Italy; IMHE-CAS, Key Laboratory of Mountain Hazards and Earth Surface Process/Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Block 4, Renminnanlu Road, Chengdu, 610041, IMHE-CAS, Key Laboratory of Mountain Hazards and Earth Surface Process/Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Block 4, Renminnanlu Road, 610041, Chengdu, China
Autori CNR e affiliazioni
  • GIACOMO TITTI
  • GIANLUCA MARCATO
  • ALESSANDRO PASUTO
  • GIULIA BOSSI
Lingua/e
  • inglese
AbstractBack-analysis is broadly used for approaching geotechnical problems when monitoring data are available and information about the soils properties is of poor quality. For landslide stability assessment back-analysis calibration is usually carried out by time consuming trial-and-error procedure. This paper presents a new automatic Decision Support System that supports the selection of the soil parameters for three-dimensional models of landslides based on monitoring data. The method considering a pool of possible solutions, generated through permutation of soil parameters, selects the best ten configurations that are more congruent with the measured displacements. This reduces the operator biases while on the other hand allows the operator to control each step of the computation. The final selection of the preferred solution among the ten best-fitting solutions is carried out by an operator. The operator control is necessary as he may include in the final decision process all the qualitative elements that cannot be included in a qualitative analysis but nevertheless characterize a landslide dynamic as a whole epistemological subject, for example on the base of geomorphological evidence. A landslide located in Northeast Italy has been selected as example for showing the system potentiality. The proposed method is straightforward, scalable and robust and could be useful for researchers and practitioners.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da231
Pagine a241
Pagine totali-
RivistaGeosciences Frontiers
Attiva dal 2010
Editore: CHINA UNIV GEOSCIENCES, BEIJING, 388 LUMO RD, WUHAN, 430074, PEOPLES R CHINA - BEIJING
Paese di pubblicazione: Cina
Lingua: inglese
ISSN: 1674-9871
Titolo chiave: Geosciences Frontiers
Numero volume della rivista12
Fascicolo della rivista1
DOI10.1016/j.gsf.2020.03.011
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)
  • Scopus (Codice:2-s2.0-85086881881)
Parole chiaveAutomatic landslide modelling, FLAC3D, Back-analysis, Optimization, Decision Support System
Link (URL, URI)http://www.scopus.com/record/display.url?eid=2-s2.0-85086881881&origin=inward
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Note/Altre informazioni-
Strutture CNR
  • IRPI — Istituto di ricerca per la protezione idrogeologica
Moduli/Attività/Sottoprogetti CNR
  • DTA.AD003.022.001 : Monitoraggio della situazione di dissesto che interessa il versante sinistro del Tagliamento in corrispondenza del Passo della Morte in comune di Forni di Sotto (Ud)
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