Deep reinforcement learning (DRL) has been applied to a variety of problems during the
past decade and has provided effective control strategies in high-dimensional and non …

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 …

Many physical systems characterized by nonlinear multiscale interactions can be modelled
by treating unresolved degrees of freedom as random fluctuations. However, even when the …

We demonstrate the use of high-fidelity computational fluid dynamics simulations in machine-
learning based active flow control. More specifically, for the first time, we adopt the genetic …

The wake dynamics of a rectangular flat-backed bluff body is studied using both the wind
tunnel experiment and Improved Delayed Detached Eddy Simulation (IDDES) at Re= 9.2× …

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 …

In this paper, we study the shape and dynamics of helical coherent structures found in the
flow field of an annular swirling jet undergoing vortex breakdown. The flow field is studied by …

Improved turbulence modeling remains a major open problem in mathematical physics.
Turbulence is notoriously challenging, in part due to its multiscale nature and the fact that …

The dynamics of the wake behind a flat-back Ahmed body are modified using a large-scale
fluidic oscillator, aiming at drag reduction and the reflectional symmetry breaking (RSB) …

Numerical simulations of the turbulent flow over the flat backed Ahmed model at Reynolds
number is obtained. It is accompanied by a large elongation of the recirculation inside the …