Calibration of an Extended Eddy Viscosity Turbulence Model Using Bayesian Update

The present work aims at improving the performance of the eddy viscosity-based Menter - Shear Stress Transport turbulence model for complex aircraft flows by adding physical extensions to the ω length-scale equation along with calibration aided by uncertainty quantification methods. Three different...

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Bibliographic Details
Published in:AIAA journal 2022-06, Vol.60 (6), p.3487-3501
Main Authors: Subbian, Gokul, Botelho e Souza, Ana Carolina, Radespiel, Rolf, Zander, Elmar, Moshagen, Thilo, Friedman, Noemi, Moioli, Matteo, Breitsamter, Christian, Sørensen, Kaare
Format: Article
Language:English
Subjects:
Aeronautics
Aircraft
Bayesian analysis
Calibration
Delta wings
Eddy viscosity
Flow control
Fluid mechanics
Pressure distribution
Shear stress
Turbulence models
Velocity
Viscosity
Vortices
Wings (aircraft)
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Summary:The present work aims at improving the performance of the eddy viscosity-based Menter - Shear Stress Transport turbulence model for complex aircraft flows by adding physical extensions to the ω length-scale equation along with calibration aided by uncertainty quantification methods. Three different extensions based on rotation and curvature correction, wake flow correction, and irrotational strain correction are added to the original model, resulting in a parametric model, which is then calibrated using Bayesian updates. A series of test cases is employed to assess the model performance, whereby delta wings with deflected flaps and vortical flows are the predominant target application.
ISSN:0001-1452
1533-385X
DOI:10.2514/1.J060527