Uncertainty Quantification of RANS Data-Driven Turbulence Modeling
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Updated
Jan 11, 2021 - C++
Uncertainty Quantification of RANS Data-Driven Turbulence Modeling
Repository for an in-progress 3D, block structured, explicit/implicit, Navier-Stokes solver.
OpenFOAM implementation of turbulence models driven by machine learning predictions.
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Discovering explicit Reynolds-averaged turbulence closures for turbulent separated flows through deep learning-based symbolic regression with non-linear corrections
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Collection of OpenFOAM solvers and cases
Progressively data-augmented RANS models for secondary flow predition
Density-based compressible transient solver using the flux difference splitting scheme of Bui, with shock sensor-based upwinding. Primarily designed for compressible LES.
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