.. include:: ../_substitutions.rst Usage ===== Run a script from examples -------------------------- The `script <#running-simulations>`__ below runs a simulation of the NACA 0012 Airfoil, and is included in the ``examples`` folder. **To run the above python script:** - Copy the examples directory to a different location (to avoid changes to your clone of the repository): .. code:: bash $ cp -r /examples - Navigate into the directory: .. code:: bash $ cd - Run the python script: .. code:: bash $ python example.py --inputFile .. note:: - The script can be run in a docker container or on a local machine. - If you are using a docker container, make sure to mount the examples directory to the container. - If you are using a local machine, make sure to have the required dependencies installed. - The script can be run in parallel by using the ``--parallel`` flag. - The script can be run in batch mode by using the ``--batch`` flag. - The script can be run in debug mode by using the ``--debug`` flag. - Do not use ``mpirun`` to run a script with |mdss|. Because, it runs simulations on subprocesses and using ``mpirun`` results in an error. - Example input yaml files to run on local machines are stored in ``examples/inputs/Local`` directory, and for Great Lakes HPC cluster, an example file is stored in ``examples/inputs/GL``. - Make sure to modify the file and file paths to absolute paths in the yaml file when running in a docker container. Use ``examples/inputs/Local/naca0012_sinInfo.yaml`` or ``examples/inputs/GL/naca0012_sinInfo.yaml`` (for Great Lakes) to test the package with NACA0012 airfoil. After execution, the following results are expected which are saved in the specified output directory. - A copy of the input yaml file in the output directory. - ``overall_sim_info.yaml`` in the output directory. - ``ADflow_Results.png`` in each experimental level directory, that is a plot comparing :math:`C_L`, and :math:`C_D` values at all refinement levels to the experimental data(if provided). .. image:: test_run_doc/ADflow_Results.png :width: 150% :align: center :alt: Results for NACA 0012 :scale: 80% - ``ADflow_output.csv`` in each refinement level directory, that is a file containg Angle of Attack(AoA), CL, and CD data. - ``aoa_.yaml`` in aoa level directory, that contains the simulation information particular to that angle of attack. - Default ADflow outputs: A tecplot file, a CGNS surface file, and a CGNS volume file. Example usage ------------- Here are quick examples of how to different classes and functions in |mdss|: Running Simulations ~~~~~~~~~~~~~~~~~~~ .. code:: python from mdss import simulation from mdss import post_process # Initialize the runner with configuration file sim = simulation('/path/to/input-yaml-file') # Run the simulation series sim.run() # Run the post-processing pp = post_process('/path/to/output-directory') pp.gen_case_plots() Additional Information ---------------------- Grid Files ~~~~~~~~~~ Grids for NACA 0012 and Mc Donnell Dolugas 30P-30N are provided under ``examples/grids`` in the examples directory. The other grids (CRM clean, and DLR High-Lift) including Naca 0012 and 30P-30N can be found at `Dropbox folder `__. Aero and structural grid files for the Mach Aero Wing can be downladed from `mphys repo `__. An example input yaml file for the Mach Aero Wing is provided in ``examples/inputs/Local/mach_aero_wing.yaml``. The example yaml file is set up to run on local machines. Experimental data ~~~~~~~~~~~~~~~~~ Experimental data for NACA 0012 and Mc Donnell Dolugas 30P-30N are provided under ``examples/exp_data`` in the examples directory. The other dat (CRM clean, and DLR High-Lift) including Naca 0012 and 30P-30N, and their references can be found at `Dropbox folder `__.