Robust active flow control over a range of Reynolds numbers using an artificial neural network trained through deep reinforcement learning

H Tang, J Rabault, A Kuhnle, Y Wang, T Wang - Physics of Fluids, 2020 - pubs.aip.org
This paper focuses on the active flow control of a computational fluid dynamics simulation
over a range of Reynolds numbers using deep reinforcement learning (DRL). More …

Mechanics of bluff body drag reduction during transient near-wake reversals

Y Haffner, J Borée, A Spohn… - Journal of Fluid …, 2020 - cambridge.org
A combination of passive and active methods is used to manipulate the symmetry of the
turbulent wake of an Ahmed body. Dedicated experiments to study the wake reversals …

Characteristics of flow past elongated bluff bodies with underbody gaps due to varying inflow turbulence

SS Aleyasin, MF Tachie, R Balachandar - Physics of Fluids, 2021 - pubs.aip.org
An experimental study was performed on two elongated bluff bodies with underbody gaps, a
square-back Ahmed body and a cuboid, to investigate the effects of geometry and the …

Recent advances in wake dynamics and active drag reduction of simple automotive bodies

Z Yu, Z Bingfu - Applied Mechanics Reviews, 2021 - asmedigitalcollection.asme.org
This is a compendium of recent progresses in the development of wake dynamics and active
drag reduction (DR) of three-dimensional (3D) simple automotive models, largely focused …

Active flow control using deep reinforcement learning with time delays in Markov decision process and autoregressive policy

Y Mao, S Zhong, H Yin - Physics of Fluids, 2022 - pubs.aip.org
Classical active flow control (AFC) methods based on solving the Navier–Stokes equations
are laborious and computationally intensive even with the use of reduced-order models …

[HTML][HTML] Drag reduction of a generic transport vehicle model using a fluidic oscillator

TI Khan, AR Tajik, V Parezanovic - International Journal of Thermofluids, 2022 - Elsevier
Base blowing is performed using a sweeping jet actuator centrally located at the base of a
square-back Ahmed body. Drag reduction along with a significant effect in terms of wake …

Comparison of flow characteristics behind squareback bluff-bodies with and without wheels

X Su, K He, K Xu, G Gao, S Krajnović - Physics of Fluids, 2023 - pubs.aip.org
The wake dynamics of two referenced variations of the squareback Windsor model with and
without wheels is numerically studied by performing improved delayed detached eddy …

Optimization and sensitivity analysis of active drag reduction of a square-back Ahmed body using machine learning control

D Fan, B Zhang, Y Zhou, BR Noack - Physics of Fluids, 2020 - pubs.aip.org
A machine learning control (MLC) is proposed based on the explorative gradient method
(EGM) for the optimization and sensitivity analysis of actuation parameters. This technique is …

Effects of approach flow conditions on the unsteady three-dimensional wake structure of a square-back Ahmed body

N Kang, EE Essel, V Roussinova, R Balachandar - Physical Review Fluids, 2021 - APS
This paper investigates the effects of approach flow conditions on the unsteady three-
dimensional wake characteristics of a square-back Ahmed body using improved delayed …

Artificial intelligence control of a low-drag Ahmed body using distributed jet arrays

BF Zhang, DW Fan, Y Zhou - Journal of Fluid Mechanics, 2023 - cambridge.org
This work proposes a machine-learning or artificial intelligence (AI) control of a low-drag
Ahmed body with a rear slant angle φ= 35° with a view to finding strategies for efficient drag …