Bayesian Predictions of Reynolds-Averaged Navier–Stokes Uncertainties Using Maximum a Posteriori Estimates
Author:
Affiliation:
1. Stanford University, Stanford, California 94305
2. Delft University of Technology, 2629 HS Delft, The Netherlands
3. Arts et Métiers ParisTech, 75013 Paris, France
Funder
European Union's Seventh Framework Programme, Umrida project
Agence Nationale de la Recherche
Publisher
American Institute of Aeronautics and Astronautics (AIAA)
Subject
Aerospace Engineering
Link
https://arc.aiaa.org/doi/pdf/10.2514/1.J056287
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5. Bayesian estimates of parameter variability in the k–ε turbulence model
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