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Microtomography at 3SR Lab for the study of snow

Frédéric Flin

[email protected]

Centre d’Etudes de la Neige

CEN: N. Calonne, A. Dufour, F. Flin, P. Hagenmuller, B. Lesaffre, L. Pézard, P. Puglièse, J. Roulle…

3SR: E. Ando, P. Charrier, C. Geindreau, S. Rolland du Roscoat…

IRSTEA/Etna: G. Chambon, M. Naaim

1 Context

2 Experimentation 3 Some applications

4 Recent development: dynamic observation of snow

(2)

Snow layer

L ~ 5 – 20 cm Societal issues

- Avalanche risk forecasting - Climate studies

- Water ressources…

Context – importance of a good knowledge of the snowpack

(3)

Context – snowpack properties are changing with time

Snow microstructure

l ~ 0.11 mm

Structural evolution with time Snow metamorphism

Precipitation particles

Rounded grains Depth hoar

T(°C) -15

-10 -5

Snow layer

Temperature gradient metamorphism

(temperature effects)

Equi-temperature metamorphism (curvature effects)

(4)

MACRO

Snowpack models for the prevision of the time evolution of the macroscopic properties (temperature,

mechanical properties…)

Atmospheric model

Snow layer 1

Ground model

Snow layer 2 …

Physical processes - Heat conduction - Vapor diffusion - Air convection - Phase change (source terms) - Compaction - …

Effective properties

= f (microstructure) Snowpack model

Societal issues

- Avalanche risk forecasting - Climate studies

- Water ressources…

Air Ice

Heat conduction Sublimation-

condensation Vapor diffusion

Air convection Heat and mass transfer

Ice crystal growth

Needs fine observations Snow metamorphism

Context – need of microscale observations

MICRO

(5)

Experimentation – RX tomography: 3D images

Tomograph cabin

source

detector rotative platform

cryogenic cell

- conical X-ray microtomograph - at ~+20°C

- acceleration voltage of 75 kV - current intensity of 100 µA - 1200 radiographies

- around 2 hours of acquisition - precision: 10 µm/pixel

convex

concave

Curvature field 3D image

3 m m

(6)

+20°C

~-30°C Cryogenic cell

Experimentation – sample preparation and cryogenic cell

1.6 cm

1. Sampling 2. Impregnation 3. Freezing 4. Machining

5. Sample holder

(7)

Obtention of 1200 radiographies

residual air bubble chloronaphtalene

ice

Reconstruction

(Softwear DigiXCT)

Image processing

Reconstructed cross-section

Binary cross-section Thresholded cross-section

Experimentation – obtention of 3D binary images

3D images

3 mm

(8)

Some applications – Effective thermal conductivity

(9)

Needle probe

measurements are significantly lower than computed values.

Consistent with Yen’s fit (CROCUS model)

Some applications – Effective thermal conductivity

Fit used in CROCUS

(10)

• Conversion into grains :

– Binary segmentation – Grain segmentation – Clumps

• DEM simulation (YADE)

– Grains_png_Hagenmuller.mov

Some applications – Mechanics using DEM

(11)

Dynamic approach: a new cryogenic cell for the dynamic monitoring of metamorphism

- operating at room temperature conditions

- adaptable to a large panel of tomographic scanner

Static approach:

Monitor the evolution of a snow slab in cold-room or in the field by sampling at regular time interval for tomography

Dynamic approach:

Monitor the evolution of the same snow sample set up in a cryogenic cell for time-lapse tomography, up to now only in a cold-room

GOAL – Monitor the snow metamorphism by RX micro-tomography

Pinzer et al. 2009 Flin et al. 2004

Time evolution

Recent development – dynamic observation of snow

(12)

Insulation from the outside vacuum system Pressure of about 0.1 Pa, leading to a thermal conductivity of air ~ 0.0015 Wm-1K-1(reduced by 28 compared to that at atmospheric pressure).

Cold production and conduction 2 Peltier modules Precision of Pt100 about +/- 0.03°C (between 0 and – 10°C) Regulation of Peltier modules about +/- 0.01°C

Recent development – new cryogenic cell

goal

(13)

1. Sampling 2. Storage

4. Setup of the snow sample

5. Tomography

3. Set up of the cryogenic cell

Recent development – experimental setup

(14)

t = 0 hour t = 28 hours

Typical features of the evolution under curvature effects:

-Slow evolution -Settlement -Grain rounding

-Growth/decay of bonds 1mm

0 h

28 h

1 mm

-38 mm-1

+38 mm-1

1vox = 7.8 µm

Equi-temperature metamorphism at -7°C

red arrow oriented toward the base of the physical sample

Time evolution

rounding

Recent development – first results for equi-T metamorphism

(15)

Typical features of the evolution under temperature gradient effects:

-Deposition/sublimation at the base/top of grains -Fast evolution from RG to DH

-General growth of the ice structures -at -2°C: formation of rounded plates

Temperature gradient metamorphism of 18°C/m at -2°C

1mm

0 h

31 h

93 h

red arrow oriented toward the base of the physical sample

1 vox = 7.8 µm

t = 93 h

t = 105 h

1 mm

Time evolution

RG

DH

Rounded plate

Recent development – first results for TG metamorphism

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300 voxels

~ 3 mm

Recent development - outlooks

0 h

28 h

1 mm

-38 mm-1

+38 mm-1

1 vox = 7.8 µm

Time evolution

rounding

experimentation

Numerical model

Better understanding of physical processes

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