16 citations · 16 across the 3 of their papers we have counts for
3 papers
Comparison of numerical software for predicting the performance of a horizontal axis tidal turbine
Robert Ellis, Joshua Bowman, Matthew Allmark +4
For tidal energy to become an alternative energy resource to fossil fuels then there needs to be confidence in the predicted performance of horizontal axis tidal turbine devices. A…
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…
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…