DNS 1-2 Storage Format: Difference between revisions
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= Storage Format = | = Storage Format = | ||
The mesh is stored in <code>.pyfrm</code> format and the snapshots, volumetric statistical data in <code>.pyfrs</code> format. | |||
A given <code>.pyfrs</code> solution snapshot or time average file can be combined with the <code>.pyfrm</code> mesh file to create an associated <code>.vtu</code> or <code>.pvtu</code> file using the <code>pyfr export</code> command as detailed in the PyFR [http://pyfr.readthedocs.io documentation]. The converted files can be interrogated using the [https://vtk.org VTK library] or [https://www.paraview.org Paraview]. | |||
In addition to the volumetric statistical data, the profiles of velocity statistics and terms in the turbulent kinetic energy budgets for the channel flow case are available in <code>.h5</code> format which can be accessed using [https://hdfgroup.org/solutions/hdf5 HDF5 library]. | |||
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{{ACContribs | {{ACContribs | ||
| authors= | | authors=Arun Soman Pillai | ||
| organisation=Imperial College London | | organisation=Imperial College London | ||
}} | }} | ||
Revision as of 10:37, 6 October 2021
Storage Format
The mesh is stored in.pyfrmformat and the snapshots, volumetric statistical data in.pyfrsformat.
A given .pyfrs solution snapshot or time average file can be combined with the .pyfrm mesh file to create an associated .vtu or .pvtu file using the pyfr export command as detailed in the PyFR documentation. The converted files can be interrogated using the VTK library or Paraview.
In addition to the volumetric statistical data, the profiles of velocity statistics and terms in the turbulent kinetic energy budgets for the channel flow case are available in .h5 format which can be accessed using HDF5 library.
Contributed by: Arun Soman Pillai — Imperial College London
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