Quantification of 3D spatial correlations between state variables and distances to the grain boundary network in full-field crystal plasticity spectral method simulations

This repository provides supplementary material to our paper: https://doi.org/10.1088/1361-651X/ab7f8c

DAMASKPhenoPowerLaw75x75x75TestCase.zip
An exemplary DAMASK simulation and corresponding output, generated from DAMASK v2.0.3. We used this to debug more productively the implementation of the post-processing tools. Furthermore we employed this simulation in the paper to identify why the graph clustering grain reconstruction method in many cases fuses neighboring grains in similar orientation.

DAMASKPhenoPowerLaw256x256x256ProductionRun.zip
All input to run the DAMASK simulation that we discussed in the paper.

DAMASKPDTSettings256x256x256ProductionRun.zip
All damaskpdt settings files to execute the individual post-processing studies of the paper.

DAMASKPDTSlurmSubmissionScripts256x256x256ProductionRun.zip
All SLURM scripts we used to execute the compilation of damaskpdt and post-processing on TALOS.

DAMASKPDTSlurmLogs256x256x256ProductionRun.zip
All logs from the SLURM job management system from the individual post-processing runs.

DAMASKPDTSourceCode_USedForAnalyticalDistanceToVoronoiCellFacets.zip
The source code to the tool we developed during the revision process of our paper to verify the methods
via computing analytically exact distances to the facets of the Poisson-Voronoi tessellation from the
DAMASK microstructure instantiation.

DAMASKPDTSourceCode_Production.zip
The source code we used to post-process all results from the DAMASK simulations.

GitHub repository:
https://github.com/mkuehbach/damaskpdt