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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: [email protected]
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.

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

Introduction

Dry-snow slab avalanche release starts with damage accumulation at the interface between a weak snow layer and the overlying slab layer, or alternatively within the (thin) weak layer below the overlying slab (Reference Schweizer, Jamieson and SchneebeliSchweizer and others, 2003). Initial failure formation and consecutive fracture propagation depend on the fracture resistance of the snow layers involved. In linear elastic fracture mechanics (LEFM), the resistance to fracture is generally called fracture toughness; formally it is described by the critical-stress intensity factor Kc. The stress intensity factor K defines the crack-tip stress field completely and depends on loading configuration, crack size, crack configuration and component geometry; the critical stress intensity factor Kc is a material parameter and describes a failure criterion (Reference AndersonAnderson, 1995). According to the loading configuration, fracture toughness in tension (mode I) KIc and in shear (mode II) KIIc are controlling. In reality, however, fracture in mixed mode dominates in most materials. In avalanche formation, the primary shear fracture is likely determined by KIIc, whereas the secondary fracture of the slab in tension should be determined by KIc. In the following, the principles of linear fracture mechanics are applied. There are two limitations that must be pointed out when applying LEFM to the dry-snow slab problem. First, in the case of natural release, initial failure formation is not linear elastic, but ductile or viscoelastic. Second, the snowpack is not a homogeneous but a layered material. Therefore, so-called interfacial fracturemechanics developed for laminated materials should rather be applied in the future (Reference Hutchinson, Mear and RiceHutchinson and others, 1987).

Reference McClungMcClung (1981) was the first to formally introduce the fracture toughness KIIc in a model of dry-snow slab avalanche release. There were no attempts to measure this important quantity till recently (Reference Kirchner, Michot and SuzukiKirchner and others, 2000). By performing simple cantilever-beam experiments, Reference Kirchner, Michot and SuzukiKirchner and others 2000, Reference Kirchner, Michot and Schweizer2002a, Reference Kirchner, Michot and Schweizerb successfully made the first measurements of fracture toughness in tension and shear. They concluded that snow would be one of the most brittle materials known to man. Reference LouchetLouchet (2001) revisited slab avalanche release, pointed out the importance of fracture toughness, made attempts to measure it and did discrete-element simulations for the experimental set-up (Reference Faillettaz, Daudon, Bonjean, Louchet and StevensFailletaz and others, 2002). Reference Bazant, Zi and McClungBazant and others (2003) expanded the model of Reference McClungMcClung 1979, Reference McClung1981) and showed that the critical crack length ac, necessary to drive brittle fracturing, should be of the order of the slab thickness D. Furthermore, they concluded that the mode II fracture toughness should be proportional to 1.8 power of the slab thickness.

In the present study, we neglect the two above-mentioned limitations and focus on simple cantilever-beam experiments to measure the fracture toughness in tension and shear. The aim is to corroborate and expand the previous findings by Reference Kirchner, Michot and SuzukiKirchner and others 2000, Reference Kirchner, Michot and Schweizer2002a, Reference Kirchner, Michot and Schweizerb) and in particular to determine the temperature dependence of the fracture toughness.

Methods

Cantilever-beam experiments with snow samples taken from the natural snowpack were performed in the SLF cold laboratory at Weissfluhjoch, Davos, Switzerland.The beams were l = 50 cm long, with a cross-sectional area of 10 cm × 20 cm (Fig. 1). The samples were taken from the natural snowpack by introducing a mould of the above size with the length L parallel to the layering of the snowpack, i.e. parallel to the snow surface. The aim was to extract samples from a single layer that looked more or less homogeneous. For the experiments, the beams were cantilevered by the length l. The beam was then cut at x = L with a fishing line (diameter <0.1mm). The length of cut when the cantilevered part of the beam broke off, ac, was recorded, as well as the time to break off. The cut was made on average within 2–3 s. At corresponding strain rates, snow is known to be brittle. To determine KIc the beams were cantilevered by L =10–15 cm and cut perpendicular to the length of the beam (Fig. 1a). Alternatively, to determine KIIc the beams were cantilevered by L =25–30 cm and cut parallel to the length l of the beam (Fig. 1b).

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.

The critical-stress intensity factors in tension KIc and in shear KIIc were determined as given by Reference Kirchner, Michot and SchweizerKirchner and others 2002a, Reference Kirchner, Michot and Schweizerb):

(1)

and

(2)

where FI and F are geometrical factors depending on ac/w (Reference Kirchner, Michot and SchweizerKirchner and others, 2002a), and M is the moment created by the weight G of the cantilever. All experiments in the present study were performed without additional external loading (P = p = 0), but subjected to body forces only. No mixed mode is considered in these tests.

Equation (1) is for the vertical, as in Figure 1a, and Equation (2) for the horizontal cut, as in Figure 1b. Both equations are derived on the level of beam theory, i.e. on the level of an overall equilibrium of forces and moments. So far, no finite-element calculations, which would be on the level of local force equilibrium, have been published. Such calculations, for finite beam size and body loading, would presumably show that some combination of fracture modes is present. In the geometry of Figure 1a, some vertical shear must in principle be present, because the beam is not infinitely long and the crack plane is not a symmetry plane. The weight of the snow close to the crack produces shear, and the snow far away from the crack produces the moment and tension; the former is neglected in Equation (1). For the geometry of Figure 1b, Equation (2) merely compares the elastic energy of two half-beams with the energy of a full beam. The actual stress distribution around the crack is not being considered in detail. Nevertheless, since beam theory, although usually difficult to justify, usually works in structural mechanics, we proceed on this level. In addition, the configuration we use for the KIIc measurements corresponds to the double cantilever-beam specimen which is currently the common type of test for interlaminar mode II fracture toughness measurements (Reference AndersonAnderson, 1995, p. 447–449).

The standard size requirements for a valid KIc are as follows (Reference AndersonAnderson, 1995, p. 376):

(3)

where σs is the tensile strength. For a snow density of 200 kgm–3, the ratio of toughness to strength in Equation (3) is about 0.44 (σs ≈ 2 kPa)(Reference Jamieson and JohnstonJamieson and Johnston, 1990). Accordingly, the snow beams we used were too small to fulfil the size requirements. However, the snow beams to be used according to the standard size requirements would be too large for feasible experiments, in particular with specimens from the natural snow cover.

Measurements

Seven series (A–G) of experiments were performed between January 2002 and February 2003 (Table 1). Snow type was classified according to the International Classification for Seasonal Snow on the Ground (ICSSG; Reference ColbeckColbeck and others, 1990). Density was determined by weighing the part of the beam that broke off. For each series of experiments, the interquartile range of density is given inTable 1. Occasionally (consistently for series A and B), hardness as resistance to penetration was determined using a hand-held force gauge with a disc-shaped penetrometer (1.17 cm2 cross-sectional area). Hardness values ranged from 1.1 to 57 kPa. As samples were taken from the natural snow cover, they were not homogeneous, but typically included some layering. Whereas this layering is preferable for mode II experiments where the cut is parallel to the layering, it is a substantial source of undesirable variation in mode I experiments. The effect of layering was checked in the experiments of series A (see below). After this initial series of experiments, in all the following experiments the layering was parallel to the width w = 20 cm of the beams. Accordingly, in the mode I experiments the snow layering did not substantially affect the results. Snow temperatures at the time of harvesting were between –9 and –13°C. After sampling, the beams were either tested the same day or stored for up to 3 days at –20°C in the cold laboratory to avoid further metamorphism. Snow temperature at the time of testing was about –9 to –10°C, or varied (series G, Table 1). In order to further characterize the snow texture, samples from some beams were preserved in diethyl phthalate and analyzed with the surface section technique (Reference GoodGood, 1987). Density was determined with image-analysis procedures.

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

Results

Snow characterization

Sample characterization in the cold laboratory by surface section analysis supported the traditional classification according to the ICSSG (Reference ColbeckColbeck and others, 1990). Exemplary surface sections from samples of series C–Fare shown in Figure 2. Densities of these samples, determined with image analysis, were: for series C 133 kgm–3; for series D 180 kgm–3; for series E 221kgm–3, and for series F 254 kgm–3. These values agree well with the densities measured in the cold laboratory, except for series C (Table 1). Series C consisted of decomposed, fragmented particles of recently deposited, low-density snow for which the density is more difficult to determine with image-analysis methods than for well-consolidated snow.

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.

Effect of stratigraphy and geometry

The tests with the beams of series A showed substantial dependence on the orientation of the layering and the test geometry (Fig. 3). In the case when the layering was parallel to b, the fracture toughness in tension KIc was much smaller when the beams were tested upside down (rotated by 180°), regardless of whether the beams were cantilevered by L = 10 cm or L = 15 cm. This was due to the distinct layering since it was impossible to have a homogeneous layer of 20 cm thickness within the snowpack. Since the density increased with increasing depth, the orientation of the beams affected the results. This also explains the different results due to the orientation of the layering. When the layering was parallel to w, the toughness KIc values were lower, since they represent an average value, than when the layering was parallel to b. In the latter case, the harder, denser snow towards the bottom of the beam determined the toughness, since the crack tip was within these layers, when the beam failed.

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.

Not only the layering but also the geometry, i.e. the amount of cantilevering, affected the results. Toughness values for L = 15 cm were substantially larger than for L = 10 cm. This shows that Equation (1) with the accompanying geometrical factors F and FI is only an approximate solution for the geometry used in our experiments. This finding is in accordance with preliminary results by Reference Faillettaz, Daudon, Bonjean, Louchet and StevensFailletaz and others, 2002. Further analysis showed that the difference was systematic and can be corrected. Values obtained with L =15 cm were multiplied by a factor 0.6, so that they can be compared to values obtained with L = 10 cm. In the following, all values given for KIc were obtained with L =10 cm or accordingly adjusted. However, this also means that our KIc values represent order-of-magnitude values, and should be used with caution.

Also given in Figure 3 are a few values for the fracture toughness in shear KIIc. Again, the orientation of the layering affected the results. When the layering was parallel to w, the orientation that is most realistic for our problem, parallel to the crack plane, the values of the fracture toughness were smaller than when the layering was perpendicular to the crack plane. This result is reasonable and reflects the fact that snow is a layered material which is most susceptible to failure parallel to the layering.

Fracture toughness in tension and shear

A limited number of beams (N = 15) of series A and B (Table 1) were tested first under shear, and after the shear fracture had occurred the remainder of the beam was tested under tension. For all beams the layering was parallel to w, i.e. the cut was made parallel to the layering to determine KIIc. This series of experiments allows a direct comparison between the fracture toughness in tension and the fracture toughness in shear (Fig. 4), both being measured on the same specimen and thus hardly influenced by snow type. According to the linear regression shown in Figure 4, the ratio of KIIc to KIc is 0.73 ± 0.05 (coefficient of correlation: r = 0.86; level of significance: p < 0.001). The fracture toughness in tension is about 1.4 times larger than the fracture toughness in shear. Density varied between 165 and 265 kgm–3, with an average density of 220 kgm–3. The ratio of KIc to KIIc was independent of density (level of significance: p =0.78).

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.

Fracture toughness in tension related to density

Experiments of series A–F were used to determine the relation of the fracture toughness in tension KIc to snow density. Series C–F were specifically chosen to determine the density dependence. They cover a wide range of snow density: 80–250 kgm–3, relevant for the snow slab release problem. All tests were performed at about –9 to –10°C, with the layering parallel to w. All beams were cantilevered by L = 10 cm. Series A and B were performed with low-hardness, medium- to fine-grained snow. The beams of series C consisted of low-density, low-hardness medium-grained snow. The snow in series D–Fexperiments was from well-consolidated, relatively dense and hard layers of fine-grained snow. It was expected that the dependence on density would be affected by the different snow types. The data are compiled in Figure 5, taking into account the snow type. Mean hardness values, determined with the force gauge, are also given, showing the increase of hardness with increasing density independent of snow type. The dependence of fracture toughness on density is non-linear. Although density alone is not an ideal predictor for any mechanical property of snow (Reference Shapiro, Johnson, Sturm and BlaisdellShapiro and others, 1997), a good fit of mechanical properties with density has traditionally been obtained with a power-law relation (Reference Perla, Beck and ChengPerla and others, 1982; Reference Jamieson and JohnstonJamieson and Johnston, 2001):

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 Reference Kirchner, Michot and SuzukiKirchner 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.

(4)

where ρice is the density of ice (917 kgm–3) and A and B are empirical constants that depend on snow type. Reference Kirchner, Michot and SuzukiKirchner and others (2000) also used a power-law relation and found for their data: A = 7.84 kPam1/2 and B = 2.3. Their results were obtained with field tests at temperatures near the melting point, and with snow types that are not known in detail but were substantially different from ours.

A power-law fit to series A–C, i.e. to the KIc values obtained from experiments with rather soft and medium-to fine-grained snow, revealed (dashed line in Fig. 5):

(5)

with A1 = 13.0 kPam1/2. Alternatively, combining series C–Fresulted in the following density relation representative for medium hard and fine-grained snow (short-dashed line in Fig. 5):

(6)

with A2 = 21.6 kPam1/2. The goodness of fit for both relations is high (coefficient of correlation: r = 0.98). Whereas the power-law fit is ideal if a wide range of density needs to be covered, a linear fit for a limited range of density (e.g. 200–300 kgm–3) is sufficient and nearly as good (r = 0.94). Accordingly, in the following, when analyzing the temperature effect, a linear relation will be used (bold line in Fig. 5) to take into account the density dependence:

(7)

with A3 = 7.63 kPam1/2 and C′ = –0.769 kPam1/2.

The results in Figure 5 suggest a strong dependence on snow type. In fact, toughness decreases with increasing grain-size, as about with dmax being the upper range value of grain-size given inTable 1. Accordingly, the density dependence of our data on fracture toughness KIc can be described as (r = 0.98):

(8)

with A4 = 0.35 kPa m.

To check whether snow hardness, or hardness and density combined, was a better predictor than density alone, hardness was measured systematically for series A and B (N = 24). A multiple linear regression for KIc with density and hardness as independent variables showed that hardness was ofminor importance compared to density (correlation not significant), and accordingly did not improve the correlation. This is due to the high correlation of density with hardness. Also, a regression of hardness alone as independent variable with toughness revealed a lower coefficient of correlation than with density alone.

Fracture toughness in tension related to snow temperature

The temperature effect on the fracture toughness is of primary importance to the avalanche release problem. No attempts have previously been made to experimentally determine the relation of fracture toughness to snow temperature. At nine temperatures between –18° and –2°C a total of 66 measurements of the fracture toughness in tension KIc were made (series G). Between 3 and 11 measurements were made at a given snow temperature. Beams were cantilevered by L = 10 or 15 cm; values obtained with L = 15 cm were adjusted based on the systematic difference to values with L = 10 cm (see above). The beams were cut out of a relatively dense, well-consolidated layer of small rounded grains with an average density of 277 ± 19 kgm–3. This density variation influenced the temperature effect. Assuming that the density and temperature effects were independent, the fracture toughness can be given as:

(9)

Using Equation (6) for the density dependence, all fracture toughness values were normalized to a density of ρ0 = 275 kgm–3. So, values of the fracture toughness in tension given below were adjusted to L = 10 cm and normalized to ρ0 = 275 kgm–3, and denoted as

At a given temperature there was an average variation between the different measurements of about 7% (coefficient of variation). The coefficients of variation were relatively low compared with other snow mechanical measurements (e.g. of the shear strength (coefficient of variation typically 15–20%)) (Reference Jamieson and JohnstonJamieson and Johnston, 2001). The variation increased with increasing temperature. It was typically 4–5% at the lower temperatures and increased to about 10% at the temperatures near the melting point.

Figure 6 shows that the fracture toughness K* Ic clearly decreased with increasing temperature up to about –8°C. For temperatures higher than about –6°C, i.e. towards the melting point, the fracture toughness K* Ic increased. For the temperature range –18 to –8°C the linear decreasing trend was highly significant (p<0.0001). The coefficients of the linear relation were a = –49.7 kPam1/2 °C–1 and d = 1115 kPam1/2. This means that the fracture toughness decreased by about 25% when the temperature increased by about 10°C. Above –6°C, there was a trend to increasing toughness with increasing temperature that was, despite large scatter, statistically significant (N = 37, r = 0:436, p = 0:007). It could not be shown that the fracture toughness eventually decreases again towards the melting point.

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.

Alternatively, based on the temperature dependence of the creep of ice, the temperature dependence can be described with an Arrhenius relation (Reference HookeHooke and others, 1980):

(10)

where Q is the activation energy for creep and R is the gas constant. This relation is physically reasonable, but is known to break down at temperatures above –8 to –6°C. Accordingly, Figure 7 shows the fracture toughness K* Ic on a logarithmic scale vs the inverse of the absolute temperature T. If a linear relationship is found, the fracture toughness follows the Arrhenius relation, i.e. the slope corresponds to Q/R. In fact, the data followed Equation (10) up to about –8°C with a slope of 1880 ± 160 K–1 (N = 28, r = 0.91, p<0.0001). This corresponds to an apparent activation energy Q of about 0.16 eV (activation energy for self-diffusion of ice: about 0.6 eV). Above –8°C the fracture toughness increased, i.e. the Arrhenius relation breaks down.

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.

Discussion and Conclusions

The measurements of fracture toughness in tension and shear under controlled conditions in a cold laboratory with cantilevered snow beams from a natural snowpack showed that this type of measurement is suited to determine this highly relevant parameter for the snow slab release problem. However, despite the experimental simplicity and good reproducibility of the experiments, some doubts remain on the absolute values based on the analysis presented above, due to the dependence on the cantilever length, the possible presence of mixed mode fracture and the unfulfilled size requirements. In the absence of finite-element simulations of the stress distribution in the experimental set-up, these doubts have to be accepted, and the toughness values given above must be considered order-of-magnitude values rather than absolute values.

One of the main problems is that a combination of fracture modes is present. The vertical cut to determine KIc (Fig. 1a) does not produce tension only, so that Equation (1) is incomplete in principle. Correspondingly, the same is true for the horizontal cut (Fig. 1b). Once the critical length ac has been cut, the cantilever breaks off almost vertically in the geometry of Figure 1a. If the loading were entirely in mode I, the fracture surface should be perfectly vertical, but it is not, indicating some minor presence of mode II. In the case of the test configuration of Figure 1b to determine KIIc, once the critical crack length ac has been cut, the crack should continue horizontally, as it should if mode II were perfect, before becoming unstable so that here also the beam breaks off vertically. This instability is due to breaking of the shear antisymmetry, suggesting that some parasitic mode I contributes.

Nevertheless, we are confident that our results on the ratio of tension to shear toughness, the relation to density and to temperature reflect the true physical behaviour. The following discussion aims to confirm this.

The ratio of tension to shear toughness, about 1.4, is well in agreement with the ratio of tensile to shear strength. Tensile strength is about 50–100% larger than shear strength for a given density range (Reference Jamieson and JohnstonJamieson and Johnston, 1990, Reference Jamieson and Johnston2001). This is somewhat different from other materials where the toughness in tension is usually lower than the toughness in shear. The high degree of layering in natural snow cover may be responsible for the relatively low strength and toughness under shear. This therefore may reflect to a certain degree a geometrical effect rather than a material property.

The exponents in the power-law relations of toughness vs relative density ρ/ρice, about 2.0, were similar to those found for other snow mechanical properties, such as the shear strength (Reference Jamieson and JohnstonJamieson and Johnston, 2001). They reported exponents of 1.7 and 2.1 depending on snow type. Considering snow as a foam (Reference Kirchner, Michot, Narita and SuzukiKirchner and others, 2001), it can be postulated, based on the fundamental work of Reference Gibson and AshbyGibson and Ashby (1997) for brittle polymeric foams, that

(11)

thereby assuming that the ratio of the elastic modulus of snow to the modulus of ice E/Eice should be proportional to (ρ/ρice)2. Similarly, again for an ideal open-cell foam, the strength of snow should show the same behaviour as the fracture toughness, i.e. be proportional to (ρ/ρice)3/2. There is, however, experimental evidence that for Young’s modulus of snow the exponent is larger than 2, that is about 4 (Reference KojimaKojima, 1954; Reference Camponovo and SchweizerCamponovo and Schweizer, 2001). Accordingly, in Equation (11), the exponent should be about 2.5 rather than 1.5. Our values of the exponent for the fracture toughness, as well as those by Reference Jamieson and JohnstonJamieson and Johnston (2001) for the shear strength, were well within this theoretical range. Also, assuming an exponent of 2.5 means that the fracture toughness of snow should be about two orders of magnitude lower than the fracture toughness of ice. Reference Nixon and SchulsonNixon and Schulson (1987) tested notched specimens at high strain rates and found that for ice at –10°C KIcice ≈ 0.08 MPam1/2. Accordingly, our values were well with in the range expected from their results.

The fracture toughness KIc was proportional to maximal grain-size By including this simple measure of snow microstructure, a single relation (Equation (8)) could be found to describe the density dependence and therefore replaces Equations (5) and (6). The dependence on is in agreement with results on ice (Reference Petrenko and WhitworthPetrenko and Whitworth, 1999).

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. This behaviour was expected based on the temperature dependence of the elastic modulus (Reference SchweizerSchweizer, 1998; Reference Schweizer and CamponovoSchweizer and Camponovo, 2002) and the fact that the fracture toughness is closely related to the modulus (Reference AndersonAnderson, 1995):

(12)

where G is the energy release rate. Accordingly, the fracture toughness is proportional to the square root of the modulus. Consequently, Reference McClung and SchweizerMcClung and Schweizer (1999) proposed that the fracture toughness should decrease with increasing temperature, based on the fact that the modulus is strongly decreasing with increasing temperature. This has in fact now been observed. However, above about –6°C up to the melting point the modulus strongly decreased with increasing temperature, whereas the fracture toughness no longer decreased, but increased. This different behaviour might well have the same roots. In the case of the modulus, the increased deformation towards the melting point is usually associated with the presence of water in ice, and it may be related to pre-melting phenomena at the grain boundaries. In general, however, the interpretation of the deformation processes acting as the melting point is approached is not yet well developed (Reference Petrenko and WhitworthPetrenko and Whitworth, 1999). These processes increasing the ease of deformation will likely increase the fracture resistance. Also, plastic effects at the crack tip may start to play a more important role. The above finding is in agreement with observations on snow slab release. There is clear experimental evidence that the artificial triggering of snow slab avalanches by explosives becomes much more inefficient with increasing snow temperature (Reference GublerGubler, 1977).

The modulus has been found to be the most temperature-dependent mechanical property in the avalanche release problem (Reference SchweizerSchweizer, 1998). A decrease of the snow temperature by 10°C increased the modulus by about 100%. Accordingly, the fracture toughness, being proportional to the square root of the modulus, should increase by about 40%. In fact, our analysis showed that the fracture toughness increased by about 33%, which is in fair agreement.

One of the key questions in slab avalanche release is that on the critical crack size at failure. This is particularly relevant to assess the effect of snowpack variability on avalanche formation (Reference Kronholm and SchweizerKronholm and Schweizer, 2003). Recently, Reference Bazant, Zi and McClungBazant and others (2003) have postulated that the critical crack size ac should be at least as large as the slab thickness D, but that the ratio ac/D should not be much larger than 1. They also provided an expression for the nominal shear stress τ at failure that takes into account the size effect, and accordingly the critical crack size ac can be derived:

(13)

For typical values slab density ρ =170 kgm–3, slab thickness D = 0.5 m and slope angle = 38°, the shear stress becomes about 0.5 kPa so that Equation (13) provides a critical crack size of about 1m, assuming a fracture toughness in shear of 0.5 kPam1/2. This value is slightly larger than what has been previously proposed (Reference Kirchner, Michot and SchweizerKirchner and others, 2002a), but well within the range that has been previously postulated (Reference McClung and SchweizerMcClung and Schweizer, 1999; Reference SchweizerSchweizer, 1999; Reference Camponovo and SchweizerSchweizer and Camponovo, 2001). It is also in agreement with the above finding on the ratio ac/D by Reference Bazant, Zi and McClungBazant and others (2003). Equation (13) suggests that for a larger slab thickness than considered above, and a given fracture toughness, the critical crack length decreases. However, Reference Bazant, Zi and McClungBazant and others (2003) concluded that KIIc should be proportional to D1.8 based on Reference PerlaPerla’s (1977) field measurements, since an increase in thickness should go along with a stronger, denser slab. The above-derived critical crack length should be considered an estimate at best. It is expected that the shear toughness for critical weaknesses in the snowpack should be lower and that absolute actual values of the shear toughness might be higher than those determined from a small specimen.

Summing up, we have for the first time determined the temperature dependence of the fracture toughness KIc for snow. The dependence of toughness on density was found to follow a power-law relation. By including a simple measure of snow microstructure, the maximal grain-size dmax, a single relation (Equation (8)) described the density dependence for all the various snow types tested. Finally, the toughness in shear was found to be smaller than the toughness in tension. Relating our measurements to the critical crack length at failure, one of the most debated questions in avalanche formation, reveals that our estimate (ac ≈1m) is well in agreement with independent estimates of the critical crack length. For the future, more sophisticated experiments will be needed, together with finite-element calculations to corroborate these results. A possible size effect, as known from concrete, should be addressed, and consequences for avalanche release should be studied, in particular by applying interfacial fracture mechanics. Eventually, fracture toughness needs to be incorporated into snow-slab stability evaluation procedures.

Acknowledgements

G. Krüsi prepared and M. Schneebeli analyzed the surface sections. A. Heilig, E. Hegglin and C. Sigrist helped with the experiments. Their contributions are gratefully acknowledged. We thank R. L. Brown and E. E. Adams for helpful suggestions.

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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.