Towards a predictive multi-phase model for alpine mass movements and process cascades

Autor: Cicoira, Alessandro, Blatny, L, Li, X, Trottet, B, Gaume, J
Přispěvatelé: University of Zurich, Cicoira, Alessandro
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Engineering Geology, 310
ISSN: 0013-7952
1872-6917
DOI: 10.5167/uzh-222770
Popis: Alpine mass movements can generate process cascades involving different materials including rock, ice, snow, and water. Numerical modelling is an essential tool for the quantification of natural hazards. Yet, state-of-the-art operational models are based on parameter back-calculation and thus reach their limits when facing unprecedented or complex events. Here, we advance our predictive capabilities for mass movements and process cascades on the basis of a three-dimensional numerical model, coupling fundamental conservation laws to finite strain elastoplasticity. In this framework, model parameters have a true physical meaning and can be evaluated from material testing, thus conferring to the model a strong predictive nature. Through its hybrid Eulerian–Lagrangian character, our approach naturally reproduces fractures and collisions, erosion/deposition phenomena, and multi-phase interactions, which finally grant accurate simulations of complex dynamics. Four benchmark simulations demonstrate the physical detail of the model and its applicability to real-world full-scale events, including various materials and ranging through five orders of magnitude in volume. In the future, our model can support risk-management strategies through predictions of the impact of potentially catastrophic cascading mass movements at vulnerable sites.
Engineering Geology, 310
ISSN:0013-7952
ISSN:1872-6917
Databáze: OpenAIRE
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