11 citations · 14 across the 2 of their papers we have counts for
8 papers
Towards human-interpretable, automated learning of feedback control for the mixing layer
Hao Li, Guy Y. Cornejo Maceda, Yiqing Li +3
We propose an automated analysis of the flow control behaviour from an ensemble of control laws and associated time-resolved flow snapshots. The input may be the rich data base of…
Artificial intelligence control of a turbulent jet
Yu Zhou, Dewei Fan, Bingfu Zhang +2
An artificial intelligence (AI) control system is developed to maximize the mixing rate of a turbulent jet. This system comprises six independently operated unsteady minijet actuat…
Actuation response model from sparse data for wall turbulence drag reduction
Daniel Fernex, Richard Semaan, Marian Albers +3
We compute, model, and predict drag reduction of an actuated turbulent boundary layer at a momentum thickness based Reynolds number of Reθ = 1000. The actuation is performed using…
Drag Reduction and Energy Saving by Spanwise Traveling Transversal Surface Waves for Flat Plate Flow
Marian Albers, Pascal S. Meysonnat, Daniel Fernex +3
Wall-resolved large-eddy simulations are performed to study the impact of spanwise traveling transversal surface waves in zero-pressure gradient turbulent boundary layer flow. Eigh…
Locally linear embedding for transient cylinder wakes
Arthur Ehlert, Christian N. Nayeri, Marek Morzynski +1
Reduced-order representations of an ensemble of cylinder wake transients are investigated. Locally linear embedding identifies a two-dimensional manifold with a maximum error of 1%…
Machine Learning for Fluid Mechanics
Steven Brunton, Bernd Noack, Petros Koumoutsakos
The field of fluid mechanics is rapidly advancing, driven by unprecedented volumes of data from field measurements, experiments and large-scale simulations at multiple spatiotempor…