Abstract
Abstract. Snow avalanches cause fatalities and economic damage. Key to their
mitigation is the understanding of snow avalanche dynamics. This
study investigates the dynamic behavior of snow avalanches, using the
material point method (MPM) and an elastoplastic constitutive law for
porous cohesive materials. By virtue of the hybrid Eulerian–Lagrangian
nature of the MPM, we can handle processes involving large deformations,
collisions and fractures. Meanwhile, the elastoplastic model enables
us to capture the mixed-mode failure of snow, including tensile, shear
and compressive failure. Using the proposed numerical approach,
distinct behaviors of snow avalanches, from fluid-like to solid-like,
are examined with varied snow mechanical properties. In particular,
four flow regimes reported from real observations are identified,
namely, cold dense, warm shear, warm plug and sliding slab
regimes. Moreover, notable surges and roll waves are observed
peculiarly for flows in transition from cold dense to warm shear
regimes. Each of the flow regimes shows unique flow characteristics in
terms of the evolution of the avalanche front, the free-surface shape,
and the vertical velocity profile. We further explore the influence of
slope geometry on the behavior of snow avalanches, including the
effect of slope angle and path length on the maximum flow velocity,
the runout angle and the deposit height. Unified trends are obtained
between the normalized maximum flow velocity and the scaled runout
angle as well as the scaled deposit height, reflecting analogous rules
with different geometry conditions of the slope. It is found that the
maximum flow velocity is mainly controlled by the friction between the
bed and the flow, the geometry of the slope, and the snow
properties. We reveal the crucial effect of both flow and deposition
behaviors on the runout angle. Furthermore, our MPM modeling is
calibrated and tested with simulations of real snow avalanches. The
evolution of the avalanche front position and velocity from the MPM
modeling shows reasonable agreement with the measurement data from the
literature. The MPM approach serves as a novel and promising tool to
offer systematic and quantitative analysis for mitigation of
gravitational hazards like snow avalanches.
Subject
Earth-Surface Processes,Water Science and Technology
Cited by
20 articles.
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