Obiettivo Despite the dramatic impact of earthquakes, the physics of their onset and the short-term behavior of fault are still poorly understood. Using existing high quality seismic observations, we propose to develop a novel functional imaging of the brittle crust to clarify not only structural properties but also the dynamics of faults. We will analyze spatio-temporal changes of elastic properties around fault zones to highlight the interplay between changes in the host rocks and fault slip. Imaging the damage structure around faults and its evolution requires new seismological methods. With novel methods to image the highly heterogeneous fault regions, we will provide multi-scale descriptions of fault zones, including their laterally variable thicknesses and depth dependence. In parallel we will image temporal changes of seismic velocities and scattering strength. External natural forcing terms (e.g. tides, seasonal hydrologic loadings) will be modeled to isolate the signals of tectonic origin. This will also allow us to monitor the evolving seismic susceptibility, i.e. a measure of the proximity to a critical state of failure. Improved earthquake detection techniques using ‘deep machine learning’ methods will facilitate tracking the evolution of rock damage. The imaging and monitoring will provide time-lapse images of elastic moduli, susceptibility and seismicity. The observed short-time changes of the materials will be included in slip initiation models coupling the weakening of both the friction and the damaged host rocks. Laboratory experiments will shed light on the transition of behavior from granular (shallow fault core) to cohesive (distant host rock) materials. Our initial data cover two well-studied fault regions of high earthquake probability (Southern California and the Marmara region, Turkey) and an area of induced seismicity (Groningen). The derived results and new versatile imaging and monitoring techniques can have fundamental social and economic impacts. Campo scientifico natural sciencesearth and related environmental sciencesatmospheric sciencesmeteorologynatural sciencesphysical sciencescondensed matter physicssoft matter physicsnatural sciencesearth and related environmental sciencesgeologyvolcanologynatural sciencesearth and related environmental sciencesgeologyseismologynatural sciencescomputer and information sciencesartificial intelligencemachine learning Parole chiave Seismology earthquakes time dependent imaging faults earthquake source mechanics Programma(i) H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC) Main Programme Argomento(i) ERC-2016-ADG - ERC Advanced Grant Invito a presentare proposte ERC-2016-ADG Vedi altri progetti per questo bando Meccanismo di finanziamento ERC-ADG - Advanced Grant Istituzione ospitante UNIVERSITE GRENOBLE ALPES Contribution nette de l'UE € 2 266 090,01 Indirizzo 621 AVENUE CENTRALE 38058 Grenoble Francia Mostra sulla mappa Regione Auvergne-Rhône-Alpes Rhône-Alpes Isère Tipo di attività Higher or Secondary Education Establishments Collegamenti Contatta l’organizzazione Opens in new window Partecipazione a programmi di R&I dell'UE Opens in new window Rete di collaborazione HORIZON Opens in new window Costo totale € 2 434 742,51 Beneficiari (2) Classifica in ordine alfabetico Classifica per Contributo netto dell'UE Espandi tutto Riduci tutto UNIVERSITE GRENOBLE ALPES Francia Contribution nette de l'UE € 2 266 090,01 Indirizzo 621 AVENUE CENTRALE 38058 Grenoble Mostra sulla mappa Regione Auvergne-Rhône-Alpes Rhône-Alpes Isère Tipo di attività Higher or Secondary Education Establishments Collegamenti Contatta l’organizzazione Opens in new window Partecipazione a programmi di R&I dell'UE Opens in new window Rete di collaborazione HORIZON Opens in new window Costo totale € 2 434 742,51 Terza parte Soggetto giuridico diverso da un subappaltatore che è affiliato o legalmente collegato a un partecipante. Il soggetto svolge le attività secondo le condizioni stabilite nell’accordo di sovvenzione, fornisce beni o servizi per l’azione, ma non ha sottoscritto l’accordo di sovvenzione. Una terza parte rispetta le regole applicabili al suo partecipante correlato ai sensi dell’accordo di sovvenzione per quanto riguarda l’ammissibilità dei costi e il controllo delle spese. CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS Francia Contribution nette de l'UE € 168 652,50 Indirizzo RUE MICHEL ANGE 3 75794 Paris Mostra sulla mappa Regione Ile-de-France Ile-de-France Paris Tipo di attività Research Organisations Collegamenti Contatta l’organizzazione Opens in new window Sito web Opens in new window Partecipazione a programmi di R&I dell'UE Opens in new window Rete di collaborazione HORIZON Opens in new window Costo totale € 168 652,50