EGU2020-11788
https://doi.org/10.5194/egusphere-egu2020-11788
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Modeling fabric development using coupled non-parametric orientation and lattice strain-energy distribution functions

Nicholas Rathmann1, Aslak Grindsted1, Sérgio H. Faria2,3, David A. Lilien1, Christine S. Hvidberg1, and Dorthe Dahl-Jensen1
Nicholas Rathmann et al.
  • 1University of Copenhagen, Niels Bohr Institute, Copenhangen, Denmark (rathmann@nbi.ku.dk)
  • 2Basque Centre for Climate Change (BC3), Spain
  • 3IKERBASQUE, Basque Foundation for Science, Spain

As polycrystalline ice undergoes ductile deformation, the c-axis fabric develops and the effective, macroscopic physical properties of ice become anisotropic. Modeling the flow of anisotropic ice therefore necessitates modeling the evolution of c-axes, too. We propose a non-parametric spectral model to account for the co-evolution of c-axis orientation distributions and stored lattice strain-energy distributions, which in principle allows any distribution shape to be represented. The coupled evolution provides the means to (statistically) model nucleation and migration recrystallization in an energy consistent way as nonuniform decay processes that depend on the accumulated cold work experienced by a given parcel of ice. The free model parameters determine the relative importance of grain rotation versus dynamic recrystallization processes given the local ice temperature, stress- and strain-rate states. We argue that the free parameters may be constrained by consulting the ice-core literature and present tentative simulations of the GRIP ice-core fabric.

How to cite: Rathmann, N., Grindsted, A., Faria, S. H., Lilien, D. A., Hvidberg, C. S., and Dahl-Jensen, D.: Modeling fabric development using coupled non-parametric orientation and lattice strain-energy distribution functions, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11788, https://doi.org/10.5194/egusphere-egu2020-11788, 2020

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