- Ultimo aggiornamento
- ottobre 10,2023
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- EnviDat: il portale dei dati ambientali
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- Istruzione, cultura e sport
Descrizione
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.
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Informazioni aggiuntive
- Identificatore
- 2fbce191-4283-4b68-aa4c-ad90723146ed@envidat
- Data di rilascio
- ottobre 10,2023
- Data di modifica
- ottobre 10,2023
- Conforme a
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- Editore
- EnviDat
- Punti di contatto
- Lingue
- Inglese
- Addizionali informazioni
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- Landing page
- https://www.envidat.ch/#/metadata/slow-snow-compression
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