Tomography-based determination of permeability and Dupuit–Forchheimer coefficient of characteristic snow samples

Zermatten, Emilie; Haussener, Sophia; Schneebeli, Martin; Steinfeld, Aldo

doi:10.3189/002214311798043799

Cited by 44 publications

(48 citation statements)

References 29 publications

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“…The opening size distribution with spherical structuring elements on the micro-CT scans was used to estimate the mean pore size (d p ) (Haussener et al, 2012). The effective permeability was calculated using the finite volume technique CFD (computational fluid dynamics simulation software from ANSYS; ANSYS, 2010) by solving the continuity and Navier-Stokes equations (Zermatten et al, 2011(Zermatten et al, , 2014 for laminar flow…”

Section: Namevmentioning

confidence: 99%

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Tomography-based monitoring of isothermal snow metamorphism under advective conditions

Ebner

Schneebeli²,

Steinfeld

2015

The Cryosphere

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Abstract. Time-lapse X-ray microtomography was used to investigate the structural dynamics of isothermal snow metamorphism exposed to an advective airflow. The effect of diffusion and advection across the snow pores on the snow microstructure were analysed in controlled laboratory experiments and possible effects on natural snowpacks discussed. The 3-D digital geometry obtained by tomographic scans was used in direct pore-level numerical simulations to determine the effective permeability. The results showed that isothermal advection with saturated air have no influence on the coarsening rate that is typical for isothermal snow metamorphism. Isothermal snow metamorphism is driven by sublimation deposition caused by the Kelvin effect and is the limiting factor independently of the transport regime in the pores.

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Section: Namevmentioning

confidence: 99%

“…The extracted 3-D digital geometry of the snow was used to calculate the specific surface area and porosity. Direct pore-level simulations (DPLS) were applied to determine the effective permeability by solving the corresponding mass and momentum conservation equations (Zermatten et al, 2011(Zermatten et al, , 2014.…”

Section: Introductionmentioning

confidence: 99%

Tomography-based monitoring of isothermal snow metamorphism under advective conditions

Ebner

Schneebeli²,

Steinfeld

2015

The Cryosphere

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“…Using the snow properties of Zermatten et al (2011) and the values of Table 1, the maximum velocity for different snow types can be estimated. As an example, the maximum velocity tolerable for depth hoar snow (dh) is u D,max ≈ 0.61 m s −1 , and the corresponding mass flow rate isV max ≈ 54 L min −1 .…”

Section: Calibrationmentioning

confidence: 99%

“…The data used for the calculations are listed in Table 1. The average snow grain size of the different snow types is taken from Zermatten et al (2011). Table 2 shows the minimum calculated snow height (z sub ) for complete saturation of air with water vapor.…”

Section: Calibrationmentioning

confidence: 99%

“…Combined with direct pore-level simulations of the governing fluid flow equations, this technique enables the determination of the effective transport properties of snow and helps elucidate the fundamentals of a wide range of environmental processes (Schneebeli and Sokratov, 2004;Zermatten et al, 2011;Kerbrat et al, 2008;Pinzer et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

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An instrumented sample holder for time-lapse microtomography measurements of snow under advective airflow

Ebner

Grimm²,

Schneebeli³

et al. 2014

Geosci. Instrum. Method. Data Syst.

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Abstract. An instrumented sample holder was developed for time-lapse microtomography of snow samples to enable in situ nondestructive spatial and temporal measurements under controlled advective airflows, temperature gradients, and air humidities. The design was aided by computational fluid dynamics simulations to evaluate the airflow uniformity across the snow sample. Morphological and mass transport properties were evaluated during a 4-day test run. This instrument allows the experimental characterization of metamorphism of snow undergoing structural changes with time.

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CellDyM: A room temperature operating cryogenic cell for the dynamic monitoring of snow metamorphism by time‐lapse X‐ray microtomography

Calonne

Flin

Lesaffre

et al. 2015

Geophysical Research Letters

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Monitoring the time evolution of snow microstructure in 3‐D is crucial for a better understanding of snow metamorphism. We, therefore, designed a cryogenic cell that precisely controls the experimental conditions of a sample while it is scanned by X‐ray tomography. Based on a thermoelectrical regulation and a vacuum insulation, the cell operates at room temperature. It is, thus, adaptable to diverse scanners, offering advantages in terms of imaging techniques, resolution, and speed. Three‐dimensional time‐lapse series were obtained under equitemperature and temperature gradient conditions at a 7.8 μm precision. The typical features of each metamorphism and the anisotropic faceting behavior between the basal and prismatic planes, known to occur close to −2°C, were observed in less than 30 h. These results are consistent with the temperature fields expected from heat conduction simulations through the cell. They confirm the cell's accuracy and the interest of relatively short periods to study snow metamorphism.

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Tomography-based determination of permeability and Dupuit–Forchheimer coefficient of characteristic snow samples

Abstract: ) Half-bandwidth for REV determination

Cited by 44 publications

References 29 publications

Tomography-based monitoring of isothermal snow metamorphism under advective conditions

Tomography-based monitoring of isothermal snow metamorphism under advective conditions

An instrumented sample holder for time-lapse microtomography measurements of snow under advective airflow

CellDyM: A room temperature operating cryogenic cell for the dynamic monitoring of snow metamorphism by time‐lapse X‐ray microtomography

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