Angle of repose experiments with snow: role of grain shape and cohesion

Snow appears as a granular material in most engineering applications. We examined the role of grain shape and cohesion in angle of repose experiments, which are a common means for the characterization of granular materials. The role of shape was examined by investigating diverse snow types with disc...

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Bibliographic Details
Main Authors: Willibald, Carolin, Löwe, Henning, Theile, Thiemo, Dual, Jürg, Schneebeli, Martin
Format: Article in Journal/Newspaper
Language:English
Published: International Glaciological Society 2020
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Online Access:https://hdl.handle.net/20.500.11850/439162
https://doi.org/10.3929/ethz-b-000439162
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Summary:Snow appears as a granular material in most engineering applications. We examined the role of grain shape and cohesion in angle of repose experiments, which are a common means for the characterization of granular materials. The role of shape was examined by investigating diverse snow types with discernable shape and spherical ice beads. Two geometrical shape parameters were calculated from X-ray micro-computed-tomography images after a particle segmentation was performed with a watershed algorithm. Cohesion was examined by conducting experiments at six different temperatures between -40 and -2 degrees C, assuming sintering as its cause, which accelerates with increasing temperature. As a cohesionless reference, experiments with glass beads were performed. We found that both shape and cohesion exerted about equally strong influence on the angle of repose. We utilized our results for an empirical model that describes the influence of shape and cohesion as additive corrections of the angle of repose of cohesionless spheres and explains all experiments with a correlation coefficientr(2)= 0.95. With temperature and the chosen shape parameter as fitting variables, previous experiments with another snow type could be consistently included. The experiments highlight the relevance of these parameters in granular snow mechanics and can be used for model calibration. ISSN:0022-1430 ISSN:1727-5652