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On the fracture toughness of snow

Published online by Cambridge University Press:  14 September 2017

Jürg Schweizer
Affiliation:
WSL Swiss Federal Institute for Snow and Avalanche Research SLF, Flüelastrasse 11, CH-7260 Davos-Dorf, Switzerland E-mail: schweizer@slf.ch
Gerard Michot
Affiliation:
Laboratoire de Physique des Matériaux, Ecole des Mines, Parc de Saurupt, 54042 Nancy Cedex, France
Helmut O.K. Kirchner
Affiliation:
Institut de Sciences des Matériaux, bâtiment 410, Université Paris-Sud, 91405 Orsay Cedex, France
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Abstract

The release of a dry-snow slab avalanche involves brittle fracture. It is therefore essentially a non-linear fracture mechanics problem. Traditional snow-stability evaluation has mainly focused on snow strength measurements. Fracture toughness describes how well a material can withstand failure. The fracture toughness of snow is therefore a key parameter to assess fracture propagation propensity, and hence snows lope stability. Fracture toughness in tension KIc and shear KIIc was determined with notched cantilever-beam experiments in a cold laboratory. Measurements were performed at different temperatures and with different snow types of density ρ = 100–300 kgm–3, corresponding to typical dry-snow slab properties. The fracture toughness in tension KIc was found to be larger (by about a factor of 1.4) than in shear KIIc. Typical values of the fracture toughness were 500–1000 Pam1/2 for the snow types tested. This suggests that snow is one of the most brittle materials known to man. A power-law relation of toughness KIc on relative density was found with an exponent of about 2. The fracture toughness in tension KIc decreased with increasing temperature following an Arrhenius relation below about –8°C with an apparent activation energy of about 0.16 eV. Above –6°C the fracture toughness increased with increasing temperature towards the melting point, i.e. the Arrhenius relation broke down. The key property in dry-snow slab avalanche release, the critical crack size under shear at failure, was estimated to be about 1 m.

Information

Type
Research Article
Copyright
Copyright © The Author(s) [year] 2004
Figure 0

Fig. 1. Geometry of experiments to determine (a) toughness in mode I, KIc, and (b) toughness in mode II, KIIc. Snow beams were l = 50 cm long, w = 20 cm wide and b = 10 cm thick.

Figure 1

Table 1. Summary of number and type of experiments performed of a certain snow type, density range (interquartile range is given) and snow temperature

Figure 2

Fig. 2. Microstructure of snow types tested: series C, D, E and F (left to right). Binarized pictures of surface sections. Black denotes ice; white is pore space. Scale given is 15 mm. Density given was determined with image-analysis procedures.

Figure 3

Fig. 3. Fracture toughness in tension KIc and in shear KIIc for different orientation of layering (parallel to b or w; see Fig. 1) and for two cantilever lengths L =10 cmand L =15 cm(KIc only). Data from series A and B.

Figure 4

Fig. 4. Comparison of fracture toughness in tension KIc to fracture toughness in shear KIIc, determined in pairs from the same beams. The line indicates the linear regression with a slope of 0.73. Data from series A and B.

Figure 5

Fig. 5. Fracture toughness KIc in relation to relative snow density ρ/ρice for different snow types. Data from series A–F. For comparison the relationship found by Kirchner and others (2000) is given (obtained with different snow types at different temperature). Two power-law relations are fitted to the data. The bold straight line is a linear fit to series D–F and subsequently used to normalize values of series G. Numbers indicate snow hardness in kPa determined with a force gauge.

Figure 6

Fig. 6. Temperature dependence of the fracture toughness normalized to ρ0 = 275 kgm–3 and adjusted for cantilever length L =10 cm. Bold solid line is a linear fit to data below –8°C. Dashed line indicates linear fit to data above –6°C. Data of series G.

Figure 7

Fig. 7. Fracture toughness on a semi-logarithmic scale vs the inverse of the absolute temperature T (so-called Arrhenius plot). Apparent linear fit for data below –8°C indicates that the data follow an Arrhenius relation with an apparent activation energy of Q =0.16 eV. Data of series G, as in Figure 6.