SAFER

Detecting slow deformation signals preceding dynamic failure: A new strategy for the mitigation of natural hazards

 Coordinatore UNIVERSITY OF LEICESTER 

 Organization address address: University Road
city: LEICESTER
postcode: LE1 7RH

contact info
Titolo: Mrs.
Nome: Marie
Cognome: Adams
Email: send email
Telefono: +44 116 223 1799
Fax: +44 116 252 2028

 Nazionalità Coordinatore United Kingdom [UK]
 Totale costo 100˙000 €
 EC contributo 100˙000 €
 Programma FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call FP7-PEOPLE-2013-CIG
 Funding Scheme MC-CIG
 Anno di inizio 2014
 Periodo (anno-mese-giorno) 2014-03-01   -   2018-02-28

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    UNIVERSITY OF LEICESTER

 Organization address address: University Road
city: LEICESTER
postcode: LE1 7RH

contact info
Titolo: Mrs.
Nome: Marie
Cognome: Adams
Email: send email
Telefono: +44 116 223 1799
Fax: +44 116 252 2028

UK (LEICESTER) coordinator 100˙000.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

dynamic    before    signals    laboratory    microseismic    site    rock    monitoring    physical    slow    deformation    episodes    landslide    hazards    natural    impending    characterization    signs    forecasting   

 Obiettivo del progetto (Objective)

'We propose a new strategy based on an interdisciplinary unitary and integrated approach aimed to monitor and detect small signals of impending failures and mitigate natural hazards, by:

1) quantify of critical damage thresholds triggering dynamic failure, throughout the ‘In situ’ identification of characteristic slow deformation signals and accelerating patterns before impending ‘large scale’ failure events; 2) set up of early warning models for forecasting the time of rupture with application to natural hazards; 3) transfer of knowledge between multiscale signs of slow deformation before dynamic failure from the laboratory to field. In detail, we propose to develop innovative strategies for forecasting dynamic ruptures by monitoring an unstable patch of the Gollone landslide on the Italian Western Alps, prone to the development of rock falls and repeated failure episodes, preceded by neat and long lasting episodes of slow deformation. In order to do so, we aim to identify the characteristic signs of impending failure, by installing a “site specific” microseismic monitoring (1-200kHz) system for acoustic emission/microseismic (AE/MS), integrated with a conventional monitoring for seismic detection (1-10Hz) and ground deformation monitoring (strainmeters, geophones and accelerometers). The installation of the monitoring network will be accompanied by a detailed geophysical characterization of the test site in order to establish the best nodes position and internal characteristics of the monitored landslide. Rock physical and mechanical characterization along with rock deformation laboratory experiments during which the evolution of related physical parameters under simulated conditions of stress and fluid content will be studied and theoretical modelling will allow to come up with a full hazard assessment and test new methodologies for a much wider scale of applications within EU.'

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