4 papers · 1 filter
Deep reinforcement learning for separation control in turbulent wind-tunnel flow
Sofia Avdiiv, Andre Weiner, Ben Steinfurth
This work investigates Deep Reinforcement Learning (DRL) as a tool for model-free closed-loop active separation control in a fully turbulent wind tunnel flow over a one-sided diffu…
Modal Analysis of Buffet Effects Induced by Ultrahigh Bypass Ratio Nacelle Installation
Sebastian Spinner, Andre Weiner
Unsteady shock-boundary-layer interaction on the lower surface of a transport-aircraft wing can be caused or amplified by ultrahigh-bypass-ratio underwing nacelle installation. Thi…
An octree-based sampling algorithm for analyzing big simulation data
Janis Geise, Sebastian Spinner, Richard Semaan +1
As computational resources continue to increase, the storage and analysis of vast amounts of data will inevitably become a bottleneck in computational fluid dynamics (CFD) and rela…
Dynamic mode decomposition of noisy flow data
Andre Weiner, Janis Geise
Dynamic mode decomposition (DMD) is a popular approach to analyzing and modeling fluid flows. In practice, datasets are almost always corrupted to some degree by noise. The vanilla…