DOI: 10.5281/zenodo.4028549
title: Full-field numerical simulations of temperate ice viscoplastic deformation and dynamic recrystallization [Data set]

description: This data set corresponds to the scientific article Llorens, M.-G., Griera, A., Bons, P.D., Gomez-Rivas, E., Weikusat, I., Prior, D., Kerch, J. and Lebensohn, R.A. Seismic anisotropy of temperate ice in polar ice sheets. Journal of Geophysical Research: Earth Surface. This data set contains (i) the output files with the crystal orientation and phase data of each simulation presented in the article (run using the open-source software platform ELLE; Bons et al., 2008; Piazolo et al., 2019), and (ii) a code to plot the crystallographic orientation density function (ODF) using the open-source code MTEX (Mainprice et al., 2015). For the visualization of seismic wave velocities the information contained in these output files can be loaded (in radians) to the software package AEH-EBSD Analysis Toolbox (Naus-Thijseen, 2011; Vel et al., 2016). The output files are provided for time steps 50 (shear strain of 1), 100 (shear strain of 2), 200 (shear strain of 4), 300 (shear strain of 6) and 400 (shear strain of 8). Each file has eight columns and multiple rows. Each row stores the output data for an unode of the model, and the model has 256x256 unodes. The first three columns correspond to the three Euler angles (<em>α</em>, <em>β</em>, <em>γ</em>) in degrees, the fourth and fifth column are the <em>x</em> and <em>y</em> coordinates of each unode, the sixth and seventh columns contain attributes not used in these simulations and column eight shows the phase number corresponding to each unode (1 for solid ice and 2 for water). Three simulations are presented and analyzed in this article, and thus their results stored in this data set: Simulation 1: purely solid ice (melt fraction <em>ϕ</em>=0) Simulation 2: ice including 5% water (melt fraction <em>ϕ</em>=5) Simulation 3: ice including 15% water (melt fraction <em>ϕ</em>=15)
description: {"references": ["Bons, P.D., Koehn, D., & Jessell, M.W. (2008). Microdynamic Simulation. Lecture Notes in Earth Sciences 106, Springer, Berlin. 405 pp.", "Mainprice, D., Bachmann, F., Hielscher, R., & Schaeben, H. (2015). Descriptive tools for the analysis of texture projects with large datasets using MTEX: strength, symmetry and components. Geological Society, London, Special Publications, 409(1), 251-271.", "Naus-Thijssen, F.M., Goupee, A.J., Vel, S.S., & Johnson, S.E. (2011). The influence of microstructure on seismic wave speed anisotropy in the crust: Computational analysis of quartz-muscovite rocks. Geophysical Journal International, 185(2), 609-621.", "Piazolo, S., Bons, P.D., Griera, A., Llorens, M.G., Gomez-Rivas, E., Koehn, D., Wheeler, J., Gardner, R., Godinho, J.R., Evans, L., & Lebensohn, R.A. (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, 111-123.", "Vel, S.S., Cook, A.C., Johnson, S.E., & Gerbi, C. (2016). Computational homogenization and micromechanical analysis of textured polycrystalline materials. Computer Methods in Applied Mechanics and Engineering, 310, 749-779."]}