Quickstart

The fastest way of trying dtOO is by using the provided image:

docker pull atismer/dtoo:stable

You can simply run the container by executing:

docker run -it atismer/dtoo:stable

Within the container navigate to the demo case:

cd /dtOO/demo/simpleAxialRunner

Simulate the machine as a doctest in the container by:

python3.11 -m doctest simpleAxialRunner.py

The geometry, mesh and simulation case is automatically created. Additionally, the simulation is performed. After a few minutes, you will see a folder named of_DD-MM-YYYY_HH:MM:SS that is the correspoding OpenFOAM case. D, M, Y, H, M and S stands for, respectively, day, month, year, hours, minutes and seconds.

Visualization

Note

Since [dtOO-ThirdParty@7ec5a5a] and [dtOO@07fc88] the framework in the container is compiled with Python 3.11. Currently, the openSUSE Leap respositories provide paraview only compiled with Python 3.6. Then, it is not possible to use the framework in paraview’s Python Shell. Therefore, it is necessary to compile paraview in the container, too. This has to be done locally, because the compile time is very time consuming. A prepared input file for docker is provided in the repository. The container can be build by:

docker \
  build \
  --build-arg NCPU=8 \
  -t dtoo-gui \
  . \
  -f Dockerfile.quickstart

If you would like to see the machine, simply open paraview in the container. Therefore, you have to execute on the host

xhost +local:*

before running the container by:

docker run \
  -it \
  -e DISPLAY=$DISPLAY \
  -v /tmp/.X11-unix/:/tmp/.X11-unix/ \
  dtoo-gui

Within the container navigate to the demo case:

cd /dtOO/demo/simpleAxialRunner

You can open paraview and investigate the geometry. Adjust PYTHONPATH and open paraview by:

export PYTHONPATH=/dtOO/demo/simpleAxialRunner:$PYTHONPATH
paraview

Then, just open the Python Shell and type:

from simpleAxialRunner import *
CreateAndShow()

You will see this:

As described above, you can also simulate the machine and postprocess the result with paraview.