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Copy file name to clipboardexpand all lines: elastic-tube-1d/README.md
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- Fluid density: $$ \rho = 1 $$
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- Young modulus: E = 10000
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Additionally the solvers use the parameters `N = 100` (number of cells), `tau = 0.01` (dimensionless timestep size), `kappa = 100` (dimensionless structural stiffness) by default. These values can be modified directly in each solver.
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## Available solvers
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Both fluid and solid participant are supported in:
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./run.sh
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```
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The solvers use the parameters `N = 100`, `tau = 0.01`, `kappa = 100` by default and can be modified in the solver.
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### Python
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Open two separate terminals and start each participant by calling the respective run script. Only serial run is possible:
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./run.sh
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```
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Parameters such as `N` can be modified directly at the `FluidSolver.py` and at the `SolidSolver.py`. The parameters must be consistent between the different solvers and participants.
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**Optional:** Visualization and video output of the fluid participant can be triggered via the options `--enable-plot` and `--write-video` of `FluidSolver.py`. To generate .vtk files during execution, you need to add the flag `--write-vtk`.
**Optional:** A run-time plot visualization can be trigged by passing `--enable-plot` in `run.sh` of `FluidSolver.py`. Additionally a video of the run-time plot visualization can be generated by additionally passing `--write-video`
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{% include warning.html content= "The C++ and Python solvers lead to different results. Please consider the Python results as the correct ones and refer to this [open issue](https://github.com/precice/tutorials/issues/195) for more insight. Contributions are particularly welcome here." %}
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
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```bash
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./plot-diameter.sh
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```
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which will try to visualize the results from both fluid cases, if available.
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This script calls the more flexible `plot-vtk.py` Python script, which you can use as
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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
[1] H. Bungartz, F. Linder, M. Mehl, B. Uekermann. A plug-and-play coupling approach for parallel multi-field simulations. _Comput Mech_**55**, 1119-1129 (2015). https://doi.org/10.1007/s00466-014-1113-2
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{% include disclaimer.html content="This offering is not approved or endorsed by OpenCFD Limited, producer and distributor of the OpenFOAM software via www.openfoam.com, and owner of the OPENFOAM® and OpenCFD® trade marks." %}
Copy file name to clipboardexpand all lines: perpendicular-flap/README.md
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* The CalculiX adapter only supports linear finite elements (deal.II uses 4th order, FEniCS 2nd order).
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* SU2 models a compressible fluid, OpenFOAM and Nutils an incompressible one.
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{% include disclaimer.html content="This offering is not approved or endorsed by OpenCFD Limited, producer and distributor of the OpenFOAM software via www.openfoam.com, and owner of the OPENFOAM® and OpenCFD® trade marks." %}
Copy file name to clipboardexpand all lines: quickstart/README.md
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{% include disclaimer.html content="This offering is not approved or endorsed by OpenCFD Limited, producer and distributor of the OpenFOAM software via www.openfoam.com, and owner of the OPENFOAM® and OpenCFD® trade marks." %}
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