2 citations · 2 across the 1 of their papers we have counts for
2 papers
physics.flu-dyn2021★ 2 cited
Classifying regions of high model error within a data-driven RANS closure: Application to wind turbine wakes
J. Steiner, R. Dwight, A. Viré
Data-driven Reynolds-Averaged Navier-Stokes (RANS) turbulence closures are increasing seen as a viable alternative to general-purpose RANS closures, when LES reference data is avai…
physics.flu-dyn2020
Data-driven RANS closures for wind turbine wakes under neutral conditions
Julia Steiner, Richard P. Dwight, Axelle Viré
The state-of-the-art in wind-farm flow-physics modeling is Large Eddy Simulation (LES) which makes accurate predictions of most relevant physics, but requires extensive computation…