An adjoint-based Bayesian approach for data assimilation and uncertainty quantification in Reynolds-Averaged Navier-Stokes modeling
Vincent Mons, ONERA Meudon (France),vincent.mons@onera.fr Thursday, June 25th (2026), 16:30 Paris Time, LMFL Abstract : Turbulence modeling is an essential tool to obtain affordable predictions of complex flows. In particular, Reynolds-Averaged Navier-Stokes (RANS) modeling may be considered to obtain mean-flow predictions at low computational cost. However, deficiencies in turbulence modeling may alter the fidelity of RANS predictions, motivating the consideration of data-assimilation techniques to enhance such predictions based on reference data. In this presentation, we discuss an…
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