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This repo explains how to work with OpenFOAM through Docker. This ensures a consistent working environment across different operating systems such as Windows, macOS and Linux, which is convenient when working in groups.

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OpenFOAM Dockerfiles

This repository contains OpenFOAM Dockerfiles. Both openfoam.com and openfoam.org releases are included. Both are based on a recent Ubuntu image.

What is Docker and why?

Docker is a set of tools to manage, build and run various software installations with a number of advantages. Using Docker we start containers (think of shipping containers)from images. Containers include everything needed to run a particular set of tasks (in this case OpenFOAM simulations). As containers are standardised, you can be confident that they run the same way on Windows, macOS and Linux. And yes, they are future proof and run similarly on major cloud solutions such as Amazon Web Services (AWS) and Microsoft Azure. This is convenient (!) because we can copy our setup to a cloud solution or a friend’s computer and still be confident it runs the same way.

Docker containers, Docker images and Dockerfiles

Instead of shipping the complete container including the operating system, it’s more convenient to use what we call Dockerfiles. Think of Dockerfiles as recipes (simply just text file with set of commands) that outlines how to build an image. A container may then be started from the Docker image

Contributing to this project

Feel free to fork these Docker files. If you make an improvement you are most welcome to make a pull request and you will be added to the author list. Comments are also welcome.

Setup

This guide explains how to setup OpenFOAM with Docker. It contains both OpenFOAM fundation releases (from openfoam.org) and OpenFOAM ESI releases (from openfoam.com).

1. Prerequisites

1a) Install Docker

Windows only: You will be prompted to install WSL (Windows Subsystem for Linux) when installing Docker (in the instructions please follow step 4 and 5).

1b) Install Git for your operating system (Windows, macOS or Linux)

1c) Install the latest Paraview version. Feel free to choose the MPI versions, which let's you run Paraview in parallel.

Windows only: Choose the .exe or .msi file

macOS: Choose the .pkg file

Linux: Choose the .tar.gz archieve and extract it

2. Preparing for OpenFOAM

2a) Decide on a OpenFOAM version to install. List available versions by folder names in this repository. Following the steps in guide will give you the latest ESI release of OpenFOAM. Replace esi with foundation to install the latest foundation release (e.g. 7, 8, 9)

2b) Open a Powershell (Windows) or a terminal (macOS or Linux) and run the following commands. First, make a folder to store your OpenFOAM data:

mkdir $HOME/openfoam-data

2c) Next, clone this repository by:

git clone https://github.com/jakobhaervig/openfoam-dockerfiles.git $HOME/openfoam-dockerfiles

You should now have two folder openfoam-data and openfoam-dockerfiles in your home folder.

2d) Now, start the program called Docker Desktop to start the Docker engine.

2e) Build the OpenFOAM image:

docker image build --no-cache -t openfoam $HOME/openfoam-dockerfiles/esi/latest/

3. Run the Docker container

3a) Finally, start a Docker container with /data mapped to $HOME/openfoam-data:

docker container run -ti --rm -v $HOME/openfoam-data:/data -w /data openfoam:latest

Note: All files stored in the container are deleted when you exit the container. Therefore you should save your simulation results and solver development in /data, which is the only directory that persists when the container is closed.

Running the above command should leave you inside the Docker container with the username foam.

4. Accessing files in the Docker container

You may access the container through $HOME/openfoam-data e.g.:

On a Windows system: C:\Users\jakob\openfoam-data

On a macOS system: /Users/jakob/openfoam-data

On most Linux systems: /home/jakob/openfoam-data

5. Optional: Save an alias for running the Docker container

Instead of starting a Docker container with the command in 3. Run the Docker container, we can save an alias for that command. With an alias saved we can simply type of (short for OpenFOAM) in a Powershell (Windows) or a terminal (macOS or Linux) to start the Docker container.

Windows operating system

5a) Open a Powershell with Administrator Rights and enter the follwing commands (copy/paste the code from each step into the Power Shell (use GitHub's copy buttom) and hit enter).

5b) Allow scripts to be run (Hit A for Yes to All):

Set-ExecutionPolicy RemoteSigned

5c) Create a profile file to store our alias function:

New-Item -Path $profile -ItemType file -force

5d) Add the alias to the newly created file:

echo "function openfoam-docker-latest {docker container run -ti --rm -v $HOME/openfoam-data:/data -w /data openfoam:latest} Set-Alias of openfoam-docker-latest" > $profile

We can now start the container using the newly created of alias by typing of in the Power Shell.

macOS and Linux systems

5a) Copy/paste the following code snippet in the terminal:

case "$OSTYPE" in
  linux*)   echo "alias of='docker container run -ti --rm -v $HOME/openfoam-data:/data -w /data openfoam:latest'" >> $HOME/.bashrc ;;
  darwin*)  echo "alias of='docker container run -ti --rm -v $HOME/openfoam-data:/data -w /data openfoam:latest'" >> $HOME/.zprofile ;;
  *)        echo "This function is not yet added for $OSTYPE" ;;
esac

After opening a new terminal, we can now start the container using the newly created of alias by typing of in the Power Shell.

6. Install extensions

If you need to add extensions to your image, you may extend it by following the steps below.

6a) To extend our Docker image to include a Python installation with different useful packages:

docker image build -t openfoam $HOME/openfoam-dockerfiles/extensions/python

6b) To extend our Docker image to include a FreeCad installation:

docker image build -t openfoam $HOME/openfoam-dockerfiles/extensions/freecad

7. Author list

Jakob Hærvig

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This repo explains how to work with OpenFOAM through Docker. This ensures a consistent working environment across different operating systems such as Windows, macOS and Linux, which is convenient when working in groups.

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