The aim of the present paper is to investigate the capabilities of Machine Learning (ML) to reduce the aerodynamic drag of a circular cylinder in cross flow, by actively controlling its wake with a synthetic jet.
Influence of Machine Learning-based active flow control on the turbulent statistics of the flow over a circular cylinder / Scala, Alessandro; Greco, CARLO SALVATORE; Paolillo, Gerardo; Astarita, Tommaso; Cardone, Gennaro. - (2023), pp. 73-73. (Intervento presentato al convegno European Turbulence Conference (ETC) 18 tenutosi a Valencia, Spagna nel 4-6 settembre 2023).
Influence of Machine Learning-based active flow control on the turbulent statistics of the flow over a circular cylinder
Alessandro Scala;Carlo Salvatore Greco;Gerardo Paolillo;Tommaso Astarita;Gennaro Cardone
2023
Abstract
The aim of the present paper is to investigate the capabilities of Machine Learning (ML) to reduce the aerodynamic drag of a circular cylinder in cross flow, by actively controlling its wake with a synthetic jet.File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
ETC_2023_Abstract_Scala_def.pdf
accesso aperto
Licenza:
Dominio pubblico
Dimensione
1.52 MB
Formato
Adobe PDF
|
1.52 MB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
