Deep understanding of localized deformation in geomaterials plays a central role in tapping geo-resources and energy, mitigating geohazards and designing built environment. Our project LOG3G seeks to advance and share the knowledge of the multiscale and multiphysics modelling of localization phenomena in geomaterials (soils and rocks), with the aim to create cutting-edge predictive models serving the communities in geophysics, geohazards, and geoengineering. We take an integrated approach by combining the diverse expertise of a multidisciplinary consortium, including geological surveys, constitutive modeling and numerical simulations, laboratory tests, and real-world applications such as CO2 storage and geo-resource/energy exploitation. LOG3G will generate lasting impact on the safety and economy in interaction with geomaterials across the disciplines. The ultimate goals are to develop better insight into the complex localization behavior of geomaterials, to provide the researchers and practitioners with the next generation predictive tools, to share and disseminate the knowledge to broad audience by secondment and training beyond the project network, and finally to contribute to the sustainable development of our society.

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.