MOOSEHerder

A mooseherder for calling multiple MOOSE simulations in parallel from python with configurable parallelisation options. Includes functionality to read and edit MOOSE/gmsh input scripts as well as reading the associated output of the simulation in parallel.

The main use cases for mooseherder include running parametric sweeps of small to medium size simulations for mesh convergence analysis; fitting surrogate/reduced order models; and optimisation problems.

Installation

Virtual Environment

We recommend installing mooseherder in a virtual environment using venv or mooseherder can be installed into an existing environment of your choice. To create a specific virtual environment for mooseherder use:

python3 -m venv herder-env
source herder-env/bin/activate

Standard Installation from PyPI

You can install from PyPI:

pip install mooseherder

Developer Installation

Clone mooseherder to your local system and cd to the root directory of mooseherder. Ensure you virtual environment is activated and run from the mooseherder root directory:

pip install -e .

MOOSE App

mooseherder has been developed and tested using the proteus MOOSE app which can be found here: https://github.com/aurora-multiphysics/proteus. Follow the build instructions found on this page to install proteus.

Getting Started

The examples folder includes a sequence of examples using mooseherder to run the MOOSE tensor mechanics module with and without coupling to gmsh.

Contributors

• Lloyd Fletcher, UK Atomic Energy Authority, (TheScepticalRabbit)
• Rory Spencer, UK Atomic Energy Authority, (fusmatrs)
• Luke Humphrey, UK Atomic Energy Authority, (lukethehuman)