Difference between revisions of "Numerics"
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'''Theory''' | '''Theory''' | ||
* [https://wiki.openfoam.com/Theory_by_Joel_Guerrero '''Finite Volume Method and numerics'''] - In these slides you will find a brief introduction to the FVM and the numerics implemented in OpenFOAM. | * [https://wiki.openfoam.com/Theory_by_Joel_Guerrero '''Finite Volume Method and numerics'''] - In these slides you will find a brief introduction to the FVM and the numerics implemented in OpenFOAM. | ||
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'''Application''' | '''Application''' |
Revision as of 05:24, 8 January 2020
In order to correctly run a simulation, it is of utmost importance to understand the numerics being solved in the simulations. These tutorials will give you detailed insight into the theory behind CFD and especially OpenFOAM.
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Numerics
Theory
- Finite Volume Method and numerics - In these slides you will find a brief introduction to the FVM and the numerics implemented in OpenFOAM.
Application
- Simulation optimizing strategies - In this tutorial you will find strategies on how to improve your simulation results by optimizing the utilized discretization settings.
- Details about discretization schemes - This tutorial gives insight into discretization and the influence of different schemes on the simulation results.
- Discretization – Part 1 - Use the scalarTransportFoam solver, simulate 5 s of flow inside a shock tube using different discritization schemes..
- Grid dependence - Here you will learn the importance of grid resolution and its effect onto your results.
- Patching fields - Use the sonicFoam solver, simulate 0.007 s of flow inside a shock tube, with a mesh with 100, 1000 and 10000 cells in one dimension, for initial values 1 bar/0.1 bar and 10 bar/0.1 bar..
- Transport equations in OpenFOAM - Here you will get a basic idea on the structure of the transport equations, which are solved in CFD and also in OpenFOAM.
- Session B: Using OpenFOAM - Here you will find information about fvSchemes and fvSolution.