2016
DOI: 10.5194/nhess-16-2325-2016
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Snow avalanche friction relation based on extended kinetic theory

Abstract: Abstract. Rheological models for granular materials play an important role in the numerical simulation of dry dense snow avalanches. This article describes the application of a physically based model from the field of kinetic theory to snow avalanche simulations. The fundamental structure of the so-called extended kinetic theory is outlined and the decisive model behavior for avalanches is identified. A simplified relation, covering the basic features of the extended kinetic theory, is developed and implemente… Show more

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Cited by 13 publications
(20 citation statements)
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References 93 publications
(143 reference statements)
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“…In terms of rheology, we follow the assumption of rough surfaces and consequently shear-dominated deformation in the whole fluid domain. This approach has proven to be useful considering real scale avalanches [19,21]. Moreover, it leads to a very simple implementation of rheology since lateral deviatoric stress can be neglected in shear-dominated flows (e.g., [22,18]).…”
Section: Introductionmentioning
confidence: 99%
“…In terms of rheology, we follow the assumption of rough surfaces and consequently shear-dominated deformation in the whole fluid domain. This approach has proven to be useful considering real scale avalanches [19,21]. Moreover, it leads to a very simple implementation of rheology since lateral deviatoric stress can be neglected in shear-dominated flows (e.g., [22,18]).…”
Section: Introductionmentioning
confidence: 99%
“…Finally, we evaluate OpenFOAM simulations with regard to convergence during mesh refinement to give a quantitative estimation of numerical uncertainties as recommended by Roache (1997). The numerical solution should converge to the unknown analytical solution with increasing grid resolution, and the numerical uncertainty should decay with the order of the applied method.…”
Section: Simulation Evaluationmentioning
confidence: 99%
“…8 for the OpenFOAM solver. Respective mean cell sizes, an estimation of the numerical uncertainty following Roache (1997) and execution times (excluding time for mesh generation, which may take several minutes) are presented in Table 1. Here, the runout is defined as the length of the central avalanche path (see Fig.…”
Section: Case Studymentioning
confidence: 99%
“…However, radar data are not straightforward to interpret and not easily applicable for parameter optimization. Previous studies compare depth-averaged velocities from simulations with peak intensity velocities from Doppler radar measurements [30,31], although they might actually not be comparable.…”
Section: Introductionmentioning
confidence: 99%
“…This work builds on the basic flow model of Rauter and Tuković [33] and the rheological model from Rauter et al [31]. Experimental results are taken from Köhler et al [29].…”
Section: Introductionmentioning
confidence: 99%