Url https://www.cimne.com/sgp/rtd/Project.aspx?id=1014
LogoEntFinanc LogoPlan
Acronym MONUGEO
Project title Modern numerical methods for high-fidelity simulation of geohazards
Reference 101182721
Principal investigator José Francisco ZÁRATE ARAIZA - zarate@cimne.upc.edu
Start date 01/02/2025 End date 28/02/2029
Coordinator BOKU
Consortium members
  • UWAR
  • UTWENTE
  • KYU
  • CUG (Wuhan)
  • TSNUK
  • TU
  • KAIST
  • University of Newcastle
  • UNIVERSITE SAVOIE MONT BLANC
  • UNIVERSIDADE DE MACAU
  • CIMNE
  • WUT
  • UNIPV
  • ITC-Germany
Program HE (2021-2027) Call HORIZON-MSCA-2023-SE-01-01
Subprogram MSCA-Marie Sklodowska Curie Actions Category Europeo
Funding body(ies) EC Grant 96.600,00 €
Abstract Geohazards, such as rock avalanches, landslides and debris flows, are commonly recoganized as the slow-to-rapid gravitationallydriven processes that typically occur in mountain regions, such as Alps in Europe, Himalaya in Asia, Rocky in North Americas and Snowy in Australia, possessing potential hazards societies. With the advancement of computer science, numerical simulations of geohazards have become crucial in the modern geomechanics and geotechnical engineering. The fragmentation of current research into local national projects often falls short in comprehensive understanding of the evolution mechanisms. This gap results in a grey area in modern numerical methods for high-fidelity simulations, limiting accessibility for both scientific researchers and engineering practitioners. MONUGEO brings together the complementary expertise of our consortium members to develop a better understanding of triggering initiation, run-out and deposition (and/or interaction with protective obstacles) processes, and in turn to produce the ground-breaking numerical tools for the high-fidelity predictions. Our international and interdisciplinary consortium will also prefer to an integrated research approach, involving laboratory experiments, scaled centrifuge physics modelling tests, and region-scale application with geological survey. This integrated methodology will serve to validate our developed computing paradigms and numerical toolbox, and to apply them to realistic scenario.