Numerical modeling of a slushflow event

Slushflows—flowing mixtures of snow and water—constitute a natural hazard especially in higher latitudes, i.e., Norway, Iceland, or Alaska. The combination of high densities and high mobility can make them to a highly destructive force. A slushflow model is presented that regards the slushflow and t...

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Bibliographic Details
Main Author: Gauer, Peter
Format: Article in Journal/Newspaper
Language:English
Published: Montana State University Library 2004
Subjects:
Online Access:https://hdl.handle.net/11250/3083770
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spelling ftngi:oai:ngi.brage.unit.no:11250/3083770 2023-10-09T21:52:39+02:00 Numerical modeling of a slushflow event Gauer, Peter 2004 application/pdf https://hdl.handle.net/11250/3083770 eng eng Montana State University Library The International Snow Science Workshop (ISSW) Proceedings; https://hdl.handle.net/11250/3083770 39-43 (5s) Chapter 2004 ftngi 2023-09-20T22:48:33Z Slushflows—flowing mixtures of snow and water—constitute a natural hazard especially in higher latitudes, i.e., Norway, Iceland, or Alaska. The combination of high densities and high mobility can make them to a highly destructive force. A slushflow model is presented that regards the slushflow and the ambient air as a two-phase flow with air as continues gas-phase and slush as dispersed multi-component “fluid” consisting of snow clods and water. The rheological model of a non-Newtonian fluid is used to describe the behavior of the slush including visco-plastic and granular effects. The yield strength is assumed to depend on the snow density and the water content. The viscosity of the water and air component is estimate using the Krieger and Doughert expression for a suspension of snow in water and snow in air, respectively. For the turbulent closure the Smagorinsky LES model is used. As case study, the model is run for the slushflow event in Patreksfjörđur, Iceland, on January 22nd, 1983. Comparison between field observations and simulations are in reasonable good agreement. Article in Journal/Newspaper Iceland Alaska Norwegian Geotechnical Institute (NGI) Digital Archive Norway
institution Open Polar
collection Norwegian Geotechnical Institute (NGI) Digital Archive
op_collection_id ftngi
language English
description Slushflows—flowing mixtures of snow and water—constitute a natural hazard especially in higher latitudes, i.e., Norway, Iceland, or Alaska. The combination of high densities and high mobility can make them to a highly destructive force. A slushflow model is presented that regards the slushflow and the ambient air as a two-phase flow with air as continues gas-phase and slush as dispersed multi-component “fluid” consisting of snow clods and water. The rheological model of a non-Newtonian fluid is used to describe the behavior of the slush including visco-plastic and granular effects. The yield strength is assumed to depend on the snow density and the water content. The viscosity of the water and air component is estimate using the Krieger and Doughert expression for a suspension of snow in water and snow in air, respectively. For the turbulent closure the Smagorinsky LES model is used. As case study, the model is run for the slushflow event in Patreksfjörđur, Iceland, on January 22nd, 1983. Comparison between field observations and simulations are in reasonable good agreement.
format Article in Journal/Newspaper
author Gauer, Peter
spellingShingle Gauer, Peter
Numerical modeling of a slushflow event
author_facet Gauer, Peter
author_sort Gauer, Peter
title Numerical modeling of a slushflow event
title_short Numerical modeling of a slushflow event
title_full Numerical modeling of a slushflow event
title_fullStr Numerical modeling of a slushflow event
title_full_unstemmed Numerical modeling of a slushflow event
title_sort numerical modeling of a slushflow event
publisher Montana State University Library
publishDate 2004
url https://hdl.handle.net/11250/3083770
geographic Norway
geographic_facet Norway
genre Iceland
Alaska
genre_facet Iceland
Alaska
op_source 39-43 (5s)
op_relation The International Snow Science Workshop (ISSW) Proceedings;
https://hdl.handle.net/11250/3083770
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