260 citations · 443 across the 9 of their papers we have counts for
3 papers · 1 filter
Data-driven RANS closures for three-dimensional flows around bluff bodies
Jasper P. Huijing, Richard P. Dwight, Martin Schmelzer
In this short note we apply the recently proposed data-driven RANS closure modelling framework of Schmelzer et al. (2020) to fully three-dimensional, high Reynolds number flows: na…
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…
Customized data-driven RANS closures for bi-fidelity LES-RANS optimization
Yu Zhang, Richard P. Dwight, Martin Schmelzer +3
Multi-fidelity optimization methods promise a high-fidelity optimum at a cost only slightly greater than a low-fidelity optimization. This promise is seldom achieved in practice, d…