FsiROM/ArterialWallROM

Setup

This is a test case of the ROM-FOM approach [4](more reference coming soon about that) on a preCICE tutorial : elastic-tube-1d

ROM Setup

You can choose whether to use the solid ROM or not in solid/SolidSolver.py

training_final_time = 1.  # Length of time period on which to train the ROM
rom_use = True

Running the Simulation

Open two separate terminals and start each participant by calling the respective run script. Only serial run is possible:

cd fluid-python
./run.sh

and

cd solid-python
./run.sh

Post-processing

The results from each simulation are stored in each fluid-<participant>/output/ folder. You can visualize these VTK files using the provided plot-diameter.sh script

./plot-diameter.sh

which will try to visualize the results from both fluid cases, if available. This script calls the more flexible plot-vtk.py Python script, which you can use as

python3 plot-vtk.py <quantity> <case>/output/<prefix>

Note the required arguments specifying which quantity to plot (pressure, velocity or diameter) and the name prefix of the target vtk files.

For example, to plot the diameter of the fluid-python case using the default prefix for VTK files, plot-diameter.sh executes:

python3 plot-vtk.py diameter fluid-python/output/out_fluid_

References

[1] B. Gatzhammer. Efficient and Flexible Partitioned Simulation of Fluid-Structure Interactions. Technische Universitaet Muenchen, Fakultaet fuer Informatik, 2014.

[2] J. Degroote, P. Bruggeman, R. Haelterman, and J. Vierendeels. Stability of a coupling technique for partitioned solvers in FSI applications. Computers & Structures, 2008.

[3] M. Mehl, B. Uekermann, H. Bijl, D. Blom, B. Gatzhammer, and A. van Zuijlen. Parallel coupling numerics for partitioned fluid-structure interaction simulations. CAMWA, 2016.

[4] A. Tiba, T. Dairay, F. Devuyst, I. Mortazavi, J-P. Berro Ramirez. Non-intrusive reduced order models for partitioned fluid-structure interactions. arXiv:2306.07570, 2023.