“Modern numerical methods for high-fidelity simulation of geohazards” (MONUGEO)
– new Horizon Europe MSCA Staff Exchange Project
Grant ID: 101182721
MONUGEO consists of eight beneficiary partners, including Universität für Bodenkultur Wien (BOKU, Austria), University of Savoy Mont Blanc (USMB, France), Centro Internacional de Métodos Numéricos en la Ingeniería (CIMNE, Spain), Taras Shevchenko National University of Kyiv (TSNUK, Ukraine), Warsaw University of Technology (WUT, Poland), University of Twente (UT, Netherlands), University of Padua (UNIPD, Italy), Itasca Consultants GmbH (ITASCA, German); and seven associated partners, i.e., Tribhuvan University (Nepal), University of Warwick (United Kingdom), University of Newcastle (Australia), Kyoto University (Japan), Korea Advanced Institute of Science & Technology (South Korea), China University of Geosciences - Wuhan (China), University of Macau (Macau SAR, China). IGT BOKU is the coordinator of MONUGEO.
Geohazards, such as rock avalanches, landslides and debris flows, are commonly recoganized as the slow-to-rapid gravitationally-driven 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.