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Dynamics of ice mass deformation: Linking processes to rheology, texture, and microstructure

Identifieur interne : 000388 ( Istex/Checkpoint ); précédent : 000387; suivant : 000389

Dynamics of ice mass deformation: Linking processes to rheology, texture, and microstructure

Auteurs : Sandra Piazolo [Australie] ; Christopher J. L. Wilson [Australie] ; Vladimir Luzin [Australie] ; Christophe Brouzet [France] ; Mark Peternell [Allemagne]

Source :

RBID : ISTEX:C3A16EFC8F96B0340435997AD05C8410EBB9C09C

Descripteurs français

English descriptors

Abstract

Prediction of glacier and polar ice sheet dynamics is a major challenge, especially in view of changing climate. The flow behavior of an ice mass is fundamentally linked to processes at the grain and subgrain scale. However, our understanding of ice rheology and microstructure evolution based on conventional deformation experiments, where samples are analyzed before and after deformation, remains incomplete. To close this gap, we combine deformation experiments with in situ neutron diffraction textural and grain analysis that allows continuous monitoring of the evolution of rheology, texture, and microstructure. We prepared ice samples from deuterium water, as hydrogen in water ice has a high incoherent neutron scattering rendering it unsuitable for neutron diffraction analysis. We report experimental results from deformation of initially randomly oriented polycrystalline ice at three different constant strain rates. Results show a dynamic system where steady‐state rheology is not necessarily coupled to microstructural and textural stability. Textures change from a weak single central c axis maxima to a strong girdle distribution at 35° to the compression axis attributed to dominance of basal slip followed by basal combined with pyramidal slip. Dislocation‐related hardening accompanies this switch and is followed by weakening due to new grain nucleation and grain boundary migration. With decreasing strain rate, grain boundary migration becomes increasingly dominant and texture more pronounced. Our observations highlight the link between the dynamics of processes competition and rheological and textural behavior. This link needs to be taken into account to improve ice mass deformation modeling critical for climate change predictions.

Url:
DOI: 10.1002/ggge.20246


Affiliations:


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ISTEX:C3A16EFC8F96B0340435997AD05C8410EBB9C09C

Le document en format XML

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<term>Axis maxima</term>
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<term>Basal plane</term>
<term>Cambridge univ</term>
<term>Climate change</term>
<term>Compression axis</term>
<term>Conventional deformation experiments</term>
<term>Core records</term>
<term>Crystal size</term>
<term>Deformation</term>
<term>Deformation experiments</term>
<term>Different mechanisms</term>
<term>Different orientation</term>
<term>Different strain rates</term>
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<term>Dynamic system</term>
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<term>Earth planet</term>
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<term>Glaciol</term>
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<term>Grain size</term>
<term>Grain size data</term>
<term>Grain size distribution</term>
<term>Grain size evolution</term>
<term>Grain size increase</term>
<term>Grain size reduction</term>
<term>Gure</term>
<term>Gure data</term>
<term>Gure section</term>
<term>Hard orientation</term>
<term>Heterogeneous nucleation</term>
<term>High strain</term>
<term>Higher strain</term>
<term>Laboratory experiments</term>
<term>Large grains</term>
<term>Macquarie university</term>
<term>Mass deformation</term>
<term>Mass deformation figure</term>
<term>Mechanical properties</term>
<term>Microstructure</term>
<term>Microstructures</term>
<term>Mineral physics</term>
<term>Montagnat</term>
<term>Neutron</term>
<term>Neutron diffraction analysis</term>
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<term>Peternell</term>
<term>Piazolo</term>
<term>Process dominance</term>
<term>Progressive deformation</term>
<term>Recrystallization</term>
<term>Recrystallized grains</term>
<term>Relict grains</term>
<term>Rheological</term>
<term>Rheological behavior</term>
<term>Rheology</term>
<term>Schulson</term>
<term>Sheet dynamics</term>
<term>Simulation</term>
<term>Slight grain size reduction</term>
<term>Slow strain rate</term>
<term>Slow strain rate experiment</term>
<term>Slow strain rate experiments</term>
<term>Slow strain rates</term>
<term>Soft grains</term>
<term>Standard distributions</term>
<term>Steady state</term>
<term>Strain rate</term>
<term>Strain rates</term>
<term>Strain stage</term>
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<term>Cambridge univ</term>
<term>Climate change</term>
<term>Compression axis</term>
<term>Conventional deformation experiments</term>
<term>Core records</term>
<term>Crystal size</term>
<term>Deformation</term>
<term>Deformation experiments</term>
<term>Different mechanisms</term>
<term>Different orientation</term>
<term>Different strain rates</term>
<term>Dislocation</term>
<term>Dislocation density</term>
<term>Dislocation generation</term>
<term>Duval</term>
<term>Dynamic system</term>
<term>Dynamics</term>
<term>Earth planet</term>
<term>Fabric analyser</term>
<term>Full pole</term>
<term>Glacier</term>
<term>Glaciol</term>
<term>Grain</term>
<term>Grain boundaries</term>
<term>Grain boundary migration</term>
<term>Grain nucleation</term>
<term>Grain size</term>
<term>Grain size data</term>
<term>Grain size distribution</term>
<term>Grain size evolution</term>
<term>Grain size increase</term>
<term>Grain size reduction</term>
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<term>Gure data</term>
<term>Gure section</term>
<term>Hard orientation</term>
<term>Heterogeneous nucleation</term>
<term>High strain</term>
<term>Higher strain</term>
<term>Laboratory experiments</term>
<term>Large grains</term>
<term>Macquarie university</term>
<term>Mass deformation</term>
<term>Mass deformation figure</term>
<term>Mechanical properties</term>
<term>Microstructure</term>
<term>Microstructures</term>
<term>Mineral physics</term>
<term>Montagnat</term>
<term>Neutron</term>
<term>Neutron diffraction analysis</term>
<term>Normal grain size distribution</term>
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<term>Partial pole</term>
<term>Peternell</term>
<term>Piazolo</term>
<term>Process dominance</term>
<term>Progressive deformation</term>
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<term>Slow strain rate</term>
<term>Slow strain rate experiment</term>
<term>Slow strain rate experiments</term>
<term>Slow strain rates</term>
<term>Soft grains</term>
<term>Standard distributions</term>
<term>Steady state</term>
<term>Strain rate</term>
<term>Strain rates</term>
<term>Strain stage</term>
<term>Subgrain boundaries</term>
<term>Texture development</term>
<term>Texture evolution</term>
<term>Texture peak</term>
<term>Thin sections</term>
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<front>
<div type="abstract">Prediction of glacier and polar ice sheet dynamics is a major challenge, especially in view of changing climate. The flow behavior of an ice mass is fundamentally linked to processes at the grain and subgrain scale. However, our understanding of ice rheology and microstructure evolution based on conventional deformation experiments, where samples are analyzed before and after deformation, remains incomplete. To close this gap, we combine deformation experiments with in situ neutron diffraction textural and grain analysis that allows continuous monitoring of the evolution of rheology, texture, and microstructure. We prepared ice samples from deuterium water, as hydrogen in water ice has a high incoherent neutron scattering rendering it unsuitable for neutron diffraction analysis. We report experimental results from deformation of initially randomly oriented polycrystalline ice at three different constant strain rates. Results show a dynamic system where steady‐state rheology is not necessarily coupled to microstructural and textural stability. Textures change from a weak single central c axis maxima to a strong girdle distribution at 35° to the compression axis attributed to dominance of basal slip followed by basal combined with pyramidal slip. Dislocation‐related hardening accompanies this switch and is followed by weakening due to new grain nucleation and grain boundary migration. With decreasing strain rate, grain boundary migration becomes increasingly dominant and texture more pronounced. Our observations highlight the link between the dynamics of processes competition and rheological and textural behavior. This link needs to be taken into account to improve ice mass deformation modeling critical for climate change predictions.</div>
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