1 citations · 1 across the 7 of their papers we have counts for
Showing physics.flu-dynShow all
2 papers · 1 filter
physics.flu-dyn2024
Active Flow Control for Bluff Body under High Reynolds Number Turbulent Flow Conditions Using Deep Reinforcement Learning
Jingbo Chen, Enrico Ballini, Stefano Micheletti
This study employs Deep Reinforcement Learning (DRL) for active flow control in a turbulent flow field of high Reynolds numbers at . That is, an agent is trained to obta…
physics.flu-dyn2023★ 1 cited
Reducing the Drag of a Bluff Body by Deep Reinforcement Learning
Enrico Ballini, Alberto Silvio Chiappa, Stefano Micheletti
We present a deep reinforcement learning approach to a classical problem in fluid dynamics, i.e., the reduction of the drag of a bluff body. We cast the problem as a discrete-time…