This case is an advanced version of
partitioned-heat-conduction. Some advanced features offered by this case:
- Geometries may be chosen arbitrarily. One possibility is to use a circle and a rectangular plate with a hole, but you can also provide your own geometry, if you want.
- You may combine arbitrary mesh resolutions at the coupling interface.
- Nearest projection mapping is used.
- The Dirichlet and Neumann participants may be swapped arbitrarily.
- The exchanged temperature is still scalar valued, but the heat flux is vector valued.
- You can decide to use a time dependent heat flux and right-hand side to make the problem more challenging.
Available solvers and dependencies
fenics is provided as a solver.
Running the simulation
partitioned-heat-conduction. The additional featured mentioned above can be activated via command line arguments. Please run
python3 fenics/heat.py --help for a full list of provided arguments.