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Continuum cavity expansion and discrete micromechanical models for inferring macroscopic snow mechanical properties from cone penetration data

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Digital cone penetration measurements can be used to infer snow mechanical properties, for instance to study snow avalanche formation. The standard interpretation of these measurements is based on statistically inferred… Click to show full abstract

Digital cone penetration measurements can be used to infer snow mechanical properties, for instance to study snow avalanche formation. The standard interpretation of these measurements is based on statistically inferred micromechanical interactions between snow microstructural elements and a well-calibrated penetrating cone. We propose an alternative continuum model to derive the modulus of elasticity and yield strength of snow based on the widely used cavity expansion model in soils. We compare results from these approaches based on laboratory cone penetration measurements in snow samples of different densities and structural sizes. Results suggest that the micromechanical model underestimates the snow elastic modulus for dense samples by two orders of magnitude. By comparison with the cavity expansion based model, some of the discrepancy is attributed to low sensitivity of the micromechanical model to the snow elastic modulus. Reasons and implications of this discrepancy are discussed and possibilities to enhance both methodologies are proposed.

Keywords: model; cavity expansion; cone penetration

Journal Title: Geophysical Research Letters
Year Published: 2017

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