JihooKang-KOR/Data_driven_wall_modeling
Master thesis project for data-driven wall modeling for turbulent flows
This project offers an improved way to model fluid flow, specifically for turbulent flows. It takes existing computational fluid dynamics (CFD) simulations, particularly those using RANS models, and refines their accuracy on coarser computational meshes. The output is a more reliable simulation of velocity fields and forces on surfaces, benefiting aerospace engineers, mechanical engineers, and researchers working with fluid dynamics.
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Use this if you are performing RANS simulations of turbulent flows and need to achieve accurate results even when using coarser computational meshes, reducing simulation time and resources.
Not ideal if your simulations do not involve turbulent flow or if you are not working with RANS models and OpenFOAM.
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9
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4
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Jul 23, 2022
Commits (30d)
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