- Dernière mise à jour
- 10 octobre 2023
- Conditions d'utilisation
-
- Organisation
- EnviDat: le portail de données environnementales
- Catégories
- Éducation, culture et sport
Description
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.
Ressources
Showcases
Informations complémentaires
- Identifier
- 2fbce191-4283-4b68-aa4c-ad90723146ed@envidat
- Date de publication
- 10 octobre 2023
- Date de modification
- 10 octobre 2023
- Conforme à
- -
- Editeur
- EnviDat
- Points de contact
- Langues
- Anglais
- Informations complémentaires
- -
- Landing page
- https://www.envidat.ch/#/metadata/slow-snow-compression
- Documentation
- -
- Couverture temporelle
- -
- Couverture spatiale
- -
- Intervalle d'actualisation
- -
- Accès aux métadonnées
- API (JSON) Télécharger XML
