The influence of snow microstructure on the compressive mechanical properties of weak snowpack layers

To find a link between microstructure and the mechanical properties of weak snow layers, we acquired a comprehensive dataset combining mechanical tests for compressive strength and stiffness on 278 weak layer samples with high-resolution 3D data from 70 co-located micro-computed tomography ( μ CT) scans. The samples encompass three main categories, often associated with dry-snow slab avalanche release: faceted crystals and depth hoar, decomposing particles and rounded grains, and buried surface hoar. The results for stiffness and compressive strength highlight different scaling behaviors with densities for different grain types, but also fundamentally different relations between stiffness and strength for persistent and non-persistent grain types. Using a neural network, we identified key clusters of microstructural features that are most predictive of mechanical behavior. These clusters were determined based on the intercorrelation of features and reflect different geometric and topological aspects of snow microstructure. Stiffness was primarily influenced by features describing the alignment and efficiency of load-bearing paths, such as anisotropy and tortuosity. In contrast, compressive strength was more sensitive to the local geometry of the ice-air interface, though it also depended on the load path characteristics. By distinguishing between these controlling factors, the model predicted the mechanical properties with an accuracy comparable to the experimental variance. While our results confirm that the mechanical properties primarily depend on density, they also demonstrate that snow microstructure shapes the specific relation between density and mechanical properties. This relationship differs markedly between persistent weak layers and those composed of decomposing particles and rounded grains. • The microstructure of snow, not just its density, dictates the mechanical properties of weak layers. Our research demonstrates that different types of snow grains ( e.g. , persistent weak layers vs. rounded grains) exhibit unique relationships between their microstructure and their strength, challenging traditional density-only models. • We identified distinct microstructural drivers for snow stiffness versus strength. A layer’s stiffness is primarily governed by the alignment of its ice structure and the directness of load paths (anisotropy and tortuosity), while its ultimate strength is more dependent on the specific geometry of the bonds between ice grains (interfacial curvature). • The study reveals a predictable, yet grain-type-dependent, relationship between a weak layer’s compressive strength and its elastic modulus. This provides a valuable proxy for field experiments, enabling the estimation of mechanical stiffness from more readily obtained strength measurements.

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Publication Details

Journal
Acta Materialia
Published
2025-10-26
DOI
https://doi.org/10.1016/j.actamat.2025.121657
Primary Topic
Cryospheric studies and observations
Type
article
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article

The influence of snow microstructure on the compressive mechanical properties of weak snowpack layers

Henning Löwe, Philipp L. Rosendahl, Jakob Schöttner, Berit Zeller‐Plumhoff et al.
Acta Materialia
Cryospheric studies and observations
article

The influence of snow microstructure on the compressive mechanical properties of weak snowpack layers

Henning Löwe, Philipp L. Rosendahl, Jakob Schöttner, Berit Zeller‐Plumhoff, Pascal Hagenmuller, Philipp Weißgraeber, Alec van Herwijnen, Jürg Schweizer
article en

Abstract

To find a link between microstructure and the mechanical properties of weak snow layers, we acquired a comprehensive dataset combining mechanical tests for compressive strength and stiffness on 278 weak layer samples with high-resolution 3D data from 70 co-located micro-computed tomography ( μ CT) scans. The samples encompass three main categories, often associated with dry-snow slab avalanche release: faceted crystals and depth hoar, decomposing particles and rounded grains, and buried surface hoar. The results for stiffness and compressive strength highlight different scaling behaviors with densities for different grain types, but also fundamentally different relations between stiffness and strength for persistent and non-persistent grain types. Using a neural network, we identified key clusters of microstructural features that are most predictive of mechanical behavior. These clusters were determined based on the intercorrelation of features and reflect different geometric and topological aspects of snow microstructure. Stiffness was primarily influenced by features describing the alignment and efficiency of load-bearing paths, such as anisotropy and tortuosity. In contrast, compressive strength was more sensitive to the local geometry of the ice-air interface, though it also depended on the load path characteristics. By distinguishing between these controlling factors, the model predicted the mechanical properties with an accuracy comparable to the experimental variance. While our results confirm that the mechanical properties primarily depend on density, they also demonstrate that snow microstructure shapes the specific relation between density and mechanical properties. This relationship differs markedly between persistent weak layers and those composed of decomposing particles and rounded grains. • The microstructure of snow, not just its density, dictates the mechanical properties of weak layers. Our research demonstrates that different types of snow grains ( e.g. , persistent weak layers vs. rounded grains) exhibit unique relationships between their microstructure and their strength, challenging traditional density-only models. • We identified distinct microstructural drivers for snow stiffness versus strength. A layer’s stiffness is primarily governed by the alignment of its ice structure and the directness of load paths (anisotropy and tortuosity), while its ultimate strength is more dependent on the specific geometry of the bonds between ice grains (interfacial curvature). • The study reveals a predictable, yet grain-type-dependent, relationship between a weak layer’s compressive strength and its elastic modulus. This provides a valuable proxy for field experiments, enabling the estimation of mechanical stiffness from more readily obtained strength measurements.

Acta MaterialiaVol. 302
Centre National de la Recherche Scientifique (FR), Swiss Federal Institute for Forest, Snow and Landscape Research (CH), Technische Universität Darmstadt (DE), Météo-France (FR), Helmholtz-Zentrum Hereon (DE), University of Rostock (DE), Université Grenoble Alpes (FR)
Openalex Percentile: Top 64%
Cryospheric studies and observations
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