9 citations · 10 across the 3 of their papers we have counts for
3 papers
physics.flu-dyn2023
Combination of Multi-Fidelity Data Sources For Uncertainty Quantification: A Lightweight CNN Approach
Minghan Chu, Weicheng Qian
Reynolds Averaged Navier Stokes (RANS) modelling is notorious for introducing the model-form uncertainty due to the Boussinesq turbulent viscosity hypothesis. Recently, the eigensp…
physics.flu-dyn2022★ 1 cited
Model form uncertainty quantification of Reynolds-averaged Navier-Stokes modeling of flows over a SD7003 airfoil
Minghan Chu, Xiaohua Wu, David E. Rival
It is well known that the Boussinesq turbulent viscosity hypothesis can yield inaccurate predictions when complex f low features are involved, e.g. laminar-turbulent transition. Th…
physics.flu-dyn2022★ 9 cited
Quantification of Reynolds-averaged-Navier-Stokes model form uncertainty in transitional boundary layer and airfoil flows
Minghan Chu, Xiaohua Wu, David E. Rival
It is well known that Boussinesq turbulent-viscosity hypothesis can introduce uncertainty in predictions for complex flow features such as separation, reattachment, and laminar-tur…