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Multiscale modeling of ice deformation behavior

Article dans une revue avec comité de lecture
Author
MONTAGNAT, Maurine
51016 Université Joseph Fourier - Grenoble 1 [UJF]
CASTELNAU, Olivier
86289 Laboratoire Procédés et Ingénierie en Mécanique et Matériaux [PIMM]
BONS, P.D
209475 Eberhard Karls Universität Tübingen = University of Tübingen
FARIA, S.H
GAGLIARDINI, O
56663 Institut universitaire de France [IUF]
51016 Université Joseph Fourier - Grenoble 1 [UJF]
GILLET-CHAULET, F
51016 Université Joseph Fourier - Grenoble 1 [UJF]
GRENNERAT, Fanny
51016 Université Joseph Fourier - Grenoble 1 [UJF]
GRIERA, A
98227 Universitat Autònoma de Barcelona = Autonomous University of Barcelona = Universidad Autónoma de Barcelona [UAB]
LEBENSOHN, R.A.
MOULINEC, Hervé
ROESSIGER, J.
209475 Eberhard Karls Universität Tübingen = University of Tübingen
SUQUET, Pierre

DOI
10.1016/j.jsg.2013.05.002
Date
2013
Journal
Journal of Structural Geology

Abstract

Understanding the flow of ice in glaciers and polar ice sheets is of increasing relevance in a time of potentially significant climate change. The flow of ice has hitherto received relatively little attention from the structural geological community. This paper aims to provide an overview of methods and results of ice deformation modeling from the single crystal to the polycrystal scale, and beyond to the scale of polar ice sheets. All through these scales, various models have been developed to understand, describe and predict the processes that operate during deformation of ice, with the aim to correctly represent ice rheology and self-induced anisotropy. Most of the modeling tools presented in this paper originate from the material science community, and are currently used and further developed for other materials and environments. We will show that this community has deeply integrated ice as a very useful “model” material to develop and validate approaches in conditions of a highly anisotropic behavior. This review, by no means exhaustive, aims at providing an overview of methods at different scales and levels of complexity

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