A grain-size driven transition in the deformation mechanism in slow snow compression

We conducted consecutive loading-relaxation experiments at low strain rates to study the viscoplastic behavior of the intact ice matrix in snow. The experiments were conducted using a micro-compression stage within the X-ray tomography scanner in the SLF cold laboratory.

Next, to evaluate the experiments, a novel, implicit solution of a transient scalar model was developed to estimate the stress exponent and time scales in the effective creep relation (Glen's law). The result reveals that, for the first time, a transition in the exponent in Glen's law depends on geometrical grain size. A cross-over of stress exponent $n=1.9$ for fine grains to $n=4.4$ for coarse grains is interpreted as a transition from grain boundary sliding to dislocation creep.

The dataset includes compression force data from 11 experiments and corresponding 3D image data from tomography scans.

Data and Resources

Additional Info

Field Value
Identifier 2fbce191-4283-4b68-aa4c-ad90723146ed@envidat
Title for URL of the dataset a-grain-size-driven-transition-in-the-deformation-mechanism-in-slow-snow-compression
Schedule the publication of the dataset -
Issued date October 10, 2023
Modification date October 10, 2023
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Temporal coverage -
Publisher Information EnviDat
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Languages English
URL https://www.envidat.ch/#/metadata/slow-snow-compression
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Spatial -
Related datasets -
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Keywords
Terms of use https://opendata.swiss/terms-of-use#terms_by
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