Bayesian optimisation of RANS simulation with ensemble-based variational method in convergent-divergent channel
Article dans une revue avec comité de lecture
Date
2019Journal
Journal of TurbulenceAbstract
This paper investigates the applicability of a hybrid data assimilation approach, namely ensemble-based variational method (EnVar), to optimise Reynolds Averaged Navier-Stokes (RANS) simulations in convergent-divergent channel from the perspective of Bayesian inference. Concretely, the ensemble-based variational method is applied to infer the inlet velocity and turbulence model corrections by assimilating Direct Numerical Simulation (DNS) results or limited experimental data. The approach is first adopted to infer the inlet velocity profile for the WallTurb Bump and Venturi geometry. The improvement can be achieved near the inlet region for the bump, but for Venturi in light of the view field limited in adverse pressure gradient region, the observation space is not sensitive to the perturbation of inlet condition. In a second step, the model corrections in k − ω SST model are investigated by assimilating the limited sparse experimental data. With the inferred model corrections, the predictions on both velocity and turbulent kinetic energy (TKE) get improved. The results indicate that the ensemble-based variational method is efficient in inferring unknown quantities of both low dimension (D=20) and high dimension (D=2400) with small ensemble size robustly and non-intrusively. This approach could prove very useful for Bayesian inference or optimisation in CFD problems.
Files in this item
Related items
Showing items related by title, author, creator and subject.
-
Communication avec acteZHANG, Xinlei; GOMEZ, Thomas; XIAO, HENG; COUTIER-DELGOSHA, Olivier (ASME Press, 2018)This paper investigates the application of data-driven approach to the optimization of cavitating flow simulations. An evaluation of the performance of commonly used RANS models (k-e, k-w and k-w SST) is presented by ...
-
Article dans une revue avec comité de lectureSHI, Lei; WANG, Yefang; ZHANG, Desheng;
BAYEUL-LAINÉ, Annie-Claude;
COUTIER-DELGOSHA, Olivier (Elsevier BV, 2022-11)
The pitching airfoils, applied to the vertical axis turbines and propellers, are critical to extract more energy from the environment. At retreating side, when the airfoil blunt leading edge becomes the trailing edge, the ... -
Communication avec acteFASSE, Guillaume; BAYEUL-LAINE, Annie-Claude; COUTIER-DELGOSHA, Olivier; CURUTCHET, Arnaud; PAILLARD, Benoît; HAUVILLE, Frédéric (2018)In order to obtain higher propulsion efficiency for marine transportation, the authors have numerically tested a novel trochoidal propeller using a sinusoidal blade pitch function. The main results presented here are the ...
-
Article dans une revue avec comité de lectureDANLOS, Amélie; MÉHAL, Jean-Elie; RAVELET, Florent; COUTIER-DELGOSHA, Olivier; BAKIR, Farid (American Society of Mechanical Engineers, 2014)Instabilities of a partial cavity developed on a hydrofoil, a converging-diverging step, or in an interblade channel have already been investigated in many previous works. The aim of this study is to evaluate a passive ...
-
Communication avec acteALLAB, Yacine; KINDINIS, Andrea; BAYEUL-LAINE, Annie-Claude; SIMONET, Sophie; COUTIER-DELGOSHA, Olivier (2014)More than a well-being, providing a good Indoor Climate Quality (ICQ) in education buildings is necessary for students’ health and in order to maximize academic results. In the context of a research focusing on hybrid ...