activity
20152023
most citedOn closures for reduced order models A spectrum of first-principle to machine-learned avenues

147 citations · 402 across the 13 of their papers we have counts for

collaborators
Showing 2019Show all

5 papers · 1 filter

physics.flu-dyn2019

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…

physics.flu-dyn2019

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…

physics.flu-dyn2019★ 11 cited

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%…

physics.flu-dyn2019

Explorative gradient method for active drag reduction of the fluidic pinball and slanted Ahmed body

Yiqing Li, Wenshi Cui, Qing Jia +4

We address a challenge of active flow control: the optimization of many actuation parameters guaranteeing fast convergence and avoiding suboptimal local minima. This challenge is a…

physics.flu-dyn2019

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…