Piazolo, S orcid.org/0000-0001-7723-8170, Bons, PD, Griera, A et al. (9 more authors) (2019) A review of numerical modelling of the dynamics of microstructural development in rocks and ice: Past, present and future. Journal of Structural Geology, 125. pp. 111-123. ISSN 0191-8141
Abstract
This review provides an overview of the emergence and current status of numerical modelling of microstructures, a powerful tool for predicting the dynamic behaviour of rocks and ice at the microscale with consequence for the evolution of these materials at a larger scale. We emphasize the general philosophy behind such numerical models and their application to important geological phenomena such as dynamic recrystallization and strain localization. We focus in particular on the dynamics that emerge when multiple processes, which may either be enhancing or competing with each other, are simultaneously active. Here, the ability to track the evolving microstructure is a particular advantage of numerical modelling. We highlight advances through time and provide glimpses into future opportunities and challenges.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 Elsevier Ltd. All rights reserved. This is an author produced version of a paper published in Journal of Structural Geology. Uploaded in accordance with the publisher's self-archiving policyCrown Copyright © 2019 Published by Elsevier B.V. This is an author produced version of a paper published in Journal of Hydrology. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Review; Evolution of microstructures; Numerical modelling; Dynamic recrystallization; Process interaction |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Inst of Geophysics and Tectonics (IGT) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 19 Sep 2018 11:36 |
Last Modified: | 27 Jun 2019 14:53 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.jsg.2018.05.025 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:135920 |