https://github.com/terrapower/armicontrib-dif3d
DIF3D plugin to the ARMI nuclear reactor analysis framework
https://github.com/terrapower/armicontrib-dif3d
clean-energy energy neutronics nuclear-engineering
Last synced: 4 months ago
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DIF3D plugin to the ARMI nuclear reactor analysis framework
- Host: GitHub
- URL: https://github.com/terrapower/armicontrib-dif3d
- Owner: terrapower
- License: apache-2.0
- Created: 2021-03-17T20:16:24.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2022-06-16T16:26:20.000Z (about 4 years ago)
- Last Synced: 2024-01-29T16:55:16.094Z (over 2 years ago)
- Topics: clean-energy, energy, neutronics, nuclear-engineering
- Language: Python
- Homepage: https://terrapower.github.io/armicontrib-dif3d/
- Size: 2.57 MB
- Stars: 7
- Watchers: 3
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGES.md
- License: LICENSE.md
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README
# Open-Source ARMI-DIF3D Plugin
This code connects TerraPower's ARMI® engineering automation code with ANL's
DIF3D global flux code, for use in building/designing/supporting fast reactors.
It was originally developed under contract for Idaho National Laboratory (see
Attribution below), with the intent to release as open source to the community.
The accompanying documentation justify and demonstrate satisfaction of the
requirements of the original scope of work, and accompanied the code as a report
when delivered to INL. As this plugin evolves, these documents are expected to
evolve and generalize as well.
## Features
* Build DIF3D input files based on ARMI representations of a reactor in Hex
geometry
* Execute DIF3D
* Read DIF3D output information and store it back on the ARMI reactor model for
coupling with other codes (e.g. for depletion, thermal/hydraulics, fuel
performance etc.)
## Limitations
* Only supports a subset of DIF3D geometries
* Cross sections must be provided externally (e.g. from MC2 or DRAGON or OpenMC)
* Does not support all DIF3D features
## Installation
The DIF3D plugin and demonstration application, along with ARMI and all other
required dependencies can be installed by running
pip install -r requirements.txt
from within a Python environment. It is recommended to do this inside of a
Python [Virtual Environment](https://docs.python.org/3/tutorial/venv.html) to
gain better control of installed dependencies and their versions.
## Attribution
This work was initially sponsored by Battelle Energy Alliance, LLC Under
Amendment No 06 to Release No 01 Under Blanket Master Contract No. 00212114 with
scope defined in SOW-15678, effective 8/25/2020.