2011
DOI: 10.1111/j.1467-9590.2010.00511.x
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Mathematical Modeling of Powder‐Snow Avalanche Flows

Abstract: Abstract. Powder-snow avalanches are violent natural disasters which represent a major risk for infrastructures and populations in mountain regions. In this study we present a novel model for the simulation of avalanches in the aerosol regime. The second scope of this study is to get more insight into the interaction process between an avalanche and a rigid obstacle. An incompressible model of two miscible fluids can be successfully employed in this type of problems. We allow for mass diffusion between two pha… Show more

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Cited by 16 publications
(13 citation statements)
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References 103 publications
(203 reference statements)
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“…-We obtain very similar results (up to a slight change of units which need to be corrected in [26]).…”
Section: Example: Simulations Of Powder-snow Avalanchessupporting
confidence: 67%
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“…-We obtain very similar results (up to a slight change of units which need to be corrected in [26]).…”
Section: Example: Simulations Of Powder-snow Avalanchessupporting
confidence: 67%
“…• Assume an ad hoc relation between µ and κ: with µ = µ 0 +μρ and κ =μ, the higher order terms cancel out and, furthermore a remarkable energy identity can be established, as observed in [26,11,21,52].…”
Section: A Hierarchy Of Modelsmentioning
confidence: 99%
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“…The other approach is based on the full Navier-Stokes equations (incompressible flow), the interface tracking method will be used to describe the interface distribution and motion characteristics. Different numerical models are conducted to simulate the dam-break problem (Biscarini et al, 2010), landslide runout (Vassilevski et al, 2012), landslide generated water waves (Biscarini, 2010) and snow avalanche impacting barriers (Dutykh et al, 2011). The second approach is similar to the shallow water equation, which is widely used to simulate the dam break and flood disasters and many achievements have been obtained in the numerical simulations and experiments (Xu et al, 2012;Maleewong, 2011).…”
Section: Introductionmentioning
confidence: 99%