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Journal Articles Journal of Computational Physics Year : 2018

Efficient numerical schemes for viscoplastic avalanches. Part 2: the 2D case

Abstract

This paper deals with the numerical resolution of a shallow water viscoplastic flow model. Viscoplastic materials are characterized by the existence of a yield stress: below a certain critical threshold in the imposed stress, there is no deformation and the material behaves like a rigid solid, but when that yield value is exceeded, the material flows like a fluid. In the context of avalanches, it means that after going down a slope, the material can stop and its free surface has a non-trivial shape, as opposed to the case of water (Newtonian fluid). The model involves variational inequalities associated with the yield threshold: finite volume schemes are used together with duality methods (namely Augmented Lagrangian and Bermudez-Moreno) to discretize the problem. To be able to accurately simulate the stopping behaviour of the avalanche, new schemes need to be designed, involving the classical notion of well-balancing. In the present context, it needs to be extended to take into account the viscoplastic nature of the material as well as general bottoms with wet/dry fronts which are encountered in geophysical geometries. Here we derive such schemes in 2D as the follow up of the companion paper treating the 1D case. Numerical tests include in particular a generalized 2D benchmark for Bingham codes (the Bingham-Couette flow with two non-zero boundary conditions on the velocity) and a simulation of the avalanche path of Taconnaz in Chamonix - Mont-Blanc to show the usability of these schemes on real topographies from digital elevation models (DEM).
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Dates and versions

hal-01593148 , version 1 (09-10-2017)

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Enrique D. Fernandez-Nieto, J.M. Gallardo, Paul Vigneaux. Efficient numerical schemes for viscoplastic avalanches. Part 2: the 2D case. Journal of Computational Physics, 2018, 353, pp.460-490. ⟨10.1016/j.jcp.2017.09.054⟩. ⟨hal-01593148⟩

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