36 citations · 36 across the 4 of their papers we have counts for
4 papers · 1 filter
Reinforcement-learning-based actuator selection method for active flow control
Romain Paris, Samir Beneddine, Julien Dandois
This paper addresses the issue of actuator selection for active flow control by proposing a novel method built on top of a reinforcement learning agent. Starting from a pre-trained…
Identification and reconstruction of high-frequency broadband fluctuations in a turbulent flow exhibiting low-frequency deterministic motions
Lucas Franceschini, Denis Sipp, Olivier Marquet +2
The turbulent flow around a squared-section cylinder at exhibits both a low-frequency Vortex-Shedding (VS), a common feature of all bluff-body flows, and high-frequency…
Uncertainty Quantification Applied to the Propagation of a Transonic Wind Tunnel Inflow Inhomogeneities
Nicola Detomaso, Vincent Brion, Julien Dandois +2
The uncertainty associated with the experimental inflow in a wind tunnel affects the prediction of the flow of interest by numerical simulations. We evaluate this impact using unce…
Robust flow control and optimal sensor placement using deep reinforcement learning
Romain Paris, Samir Beneddine, Julien Dandois
This paper focuses on a drag-reducing control strategy on a 2D-simulated laminar flow past a cylinder. Deep reinforcement learning algorithms have been implemented to discover effi…