From the 1 of 7 linked papers with an AI index.
5 papers · 1 filter
Feature-based manifold model of actuated wakes
Alicia RodrÃguez-Asensio, Guy Y. Cornejo Maceda, Bernd R. Noack +2
The paper presents a feature‑based reduced‑order model that predicts the transient dynamics of bluff‑body wakes under arbitrary time‑varying actuation, using a manifold of dynamic…
Turbulence enhancement of a fan array wind generator using geometric texturing and optimization-based control
Gengshou Cao, Tamir Shaqarin, Zhutao Jiang +5
Fan array wind generators (FAWG) are designed to generate a rich set of turbulent flows reminiscent of those found in natural environments. In this study, we experimentally investi…
Actuation manifold from snapshot data
Luigi Marra, Guy Y. Cornejo Maceda, Andrea Meilán-Vila +5
We propose a data-driven methodology to learn a low-dimensional manifold of controlled flows. The starting point is resolving snapshot flow data for a representative ensemble of ac…
Machine-learned flow estimation with sparse data -- exemplified for the rooftop of a UAV vertiport
Chang Hou, Luigi Marra, Guy Y. Cornejo Maceda +9
We propose a physics-informed data-driven framework for urban wind estimation. This framework validates and incorporates the Reynolds number independence for flows under various wo…
Flow control-oriented coherent mode prediction via Grassmann-kNN manifold learning
Hongfu Zhang, Hui Tang, Bernd R. Noack
A data-driven method using Grassmann manifold learning is proposed to identify a low-dimensional actuation manifold for flow-controlled fluid flows. The snapshot flow field are twi…