16 citations · 16 across the 2 of their papers we have counts for
2 papers
physics.flu-dyn2023
Predictions of steady and unsteady flows using machine-learned surrogate models
Shanti Bhushan, Greg W Burgreen, Joshua L Bowman +2
The applicability of computational fluid dynamics (CFD) based design tools depend on the accuracy and complexity of the physical models, for example turbulence models, which remain…
physics.flu-dyn2023★ 16 cited
Assessment of Neural Network Augmented Reynolds Averaged Navier Stokes Turbulence Model in Extrapolation Modes
Shanti Bhushan, Greg W. Burgreen, Wesley Brewer +1
A machine-learned (ML) model is developed to enhance the accuracy of turbulence transport equations of Reynolds Averaged Navier Stokes (RANS) solver and applied for periodic hill t…