Dataset: PRISMS-Fatigue Data - FIP Convergence
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Published: 3 years ago Views: 1009 Downloads: 335 DOI: 10.13011/m3-31wm-h036 License: Attribution License (ODC-By) Size: 228.6 GB
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Simulated effects of sample size and grain neighborhood on the modeling of extreme value fatigue response 41
  • Krzysztof S. Stopka
  • Mohammadreza Yaghoobi
  • John E. Allison
  • David L. McDowell

This data set contains the DREAM.3D generated microstructures, crystal plasticity finite element method (CPFEM) input files for PRISMS-Plasticity, PRISMS-Plasticity raw simulation results, and individual plots for the manuscript entitled "Simulated effects of sample size and grain neighborhood on the modeling of extreme value fatigue response."

Please download the data using Globus or the Zipfile option so that four distinct folders are downloaded. These are entitled "Section_3", "Section_4", "Section_5", and "plots". There are eight Python scripts available at the PRISMS-Fatigue GitHub page (https://github.com/prisms-center/Fatigue) in the "applications" folder that will generate the results plots of this manuscript. Users need to place these eight scripts in the same directory as the four folders of this data set. Using a command prompt window, users will then navigate to the directory that contains these four folders and eight Python scripts. Users will then execute the command "python PRISMS_FIP_convergence_1st_highest_FIP_analysis.py" (or the name of another one of the eight scripts) to run the scripts. The scripts can also be executed using an interactive version of Python.

DECEMBER 2023 UPDATE:

The digital microstructure models (i.e., SVEs) used in this manuscript were generated using DREAM.3D version 6.5.141, but the raw microstructure files are not currently available in the .dream3d format. They were instead exported from DREAM.3D as "orientation_#.txt" and "grainID_#.txt" files. As such, a DREAM.3D pipeline (in the .json format) was uploaded entitled "reread_using_grain_and_ori.json" that can be used to generate .dream3d versions of each model used in this work. A few notes on the use of this pipeline are detailed below:

• Filer #1: point to the “grainID_#.txt” file

o Also, specify your origin and resolution properly.

• Filter #4: you must MANUALLY enter the Tuples dimension as (number of grains in this SVE +1) here, otherwise the pipeline will crash.

• Filter #6: point to the “orientations_#.txt” file to read grain orientations. AS A NOTE, these are currently labeled as "EulerAngles" but the "orientations_#.txt" files actually represent orientations as Rodriques vectors.

• Filter #15: write a new .dream3d file.

KSS and DLM are grateful for the support from the Office of Naval Research under grant number N00014-18-1-2784. MY and JEA are grateful for the support from the U.S. Department of Energy, Office of Basic Energy Sciences, Division of Materials Sciences and Engineering under Award #DE-SC0008637 as part of the Center for PRedictive Integrated Structural Materials Science (PRISMS Center) at University of Michigan. This work used the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation grant number ACI-1548562, through the allocation TG-MSS160003. This research was supported in part through research cyberinfrastructure resources and services provided by the Partnership for an Advanced Computing Environment (PACE) at the Georgia Institute of Technology, Atlanta, Georgia, USA.

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