Abstract
A framework for investigating the mechanics of snow is proposed based on an advanced micro-scale approach. Varying strain rates, densities and temperatures are taken into account. Natural hazards i.e. snow avalanches are triggered by snow deforming at low rates, while a large group of industrial applications concerning driving safety or winter sport activities require an understanding of snow behaviour under high deformation rates. On the micro-scale, snow is considered to consist of ice grains joined by ice bonds to build a porous structure. Deformation and failure of bonds and the inter-granular collisions of ice grains determine the macroscopic response under mechanical load. Therefore, this study proposes an inter-granular bond and collision model for snow based on the discrete element method to describe interaction on a grain-scale. It aims at predicting the mechanical behaviour of ice particles under different strain rates using a unified approach. Thus, the proposed algorithm predicts the displacement of each individual grains due to inter-granular forces and torques that derive from bond deformation and grain collision. For this purpose, the inter-granular characteristics are approximated by an elastic viscous-plastic material law which is based on the temperature-dependent properties of poly-crystalline ice Ih.
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Acknowledgements
The presented research project is financed by the National Research Fund of Luxembourg (FNR). Simulations presented in this study were carried out on the High-Performance-Computing facility (HPC) of the University of Luxembourg, see [52].
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Kabore, B.W., Peters, B., Michael, M. et al. A discrete element framework for modeling the mechanical behaviour of snow—Part I: Mechanical behaviour and numerical model. Granular Matter 23, 42 (2021). https://doi.org/10.1007/s10035-020-01083-1
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DOI: https://doi.org/10.1007/s10035-020-01083-1