From the 1 of 4 linked papers with an AI index.
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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…
An octree-based sampling algorithm for analyzing big simulation data
Janis Geise, Sebastian Spinner, Richard Semaan +1
The paper presents an improved Sparse Spatial Sampling (S³) algorithm that uses a time‑invariant octree grid to down‑sample large CFD simulation data while preserving key flow metr…
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…
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…