Multi-frequency aerodynamic control of a yawed bluff body optimized with a genetic algorithm
Journal article, 2021

This experimental work aims to investigate the manipulation of a bluff body flow with a yaw angle of 10° based on a genetic algorithm optimization. Two loudspeakers are used to generate zero-net mass-flux jets through streamwise slots, which span a large portion of the rounded A-pillars of the bluff body. The actuations produce a maximum drag reduction of 17% and 2% for the leeward and windward side control, respectively. The genetic algorithm has found two typical frequencies to separately drive the actuators on the windward and leeward sides. The drag reduction is 20% under the optimal control law, 3% larger than the 17% attained from the reference single frequency control. In addition, a beneficial effect is observed when considering energy efficiency, which increases by 30% in the optimal control compared to the single frequency control. The drag spectra and velocity mapping in the wake are measured with and without control, and, based on the measurement, the underlying flow mechanism behind the control is proposed.

Drag reduction

Genetic algorithm

Yawed bluff body


Zengxi Qiao

Chalmers, Mechanics and Maritime Sciences (M2), Fluid Dynamics

Guglielmo Minelli

Chalmers, Mechanics and Maritime Sciences (M2), Fluid Dynamics

B. R. Noack

Harbin Institute of Technology

Technische Universität Berlin

Sinisa Krajnovic

Chalmers, Mechanics and Maritime Sciences (M2), Fluid Dynamics

Valery Chernoray

Chalmers, Mechanics and Maritime Sciences (M2), Fluid Dynamics

Journal of Wind Engineering and Industrial Aerodynamics

0167-6105 (ISSN)

Vol. 212 104600

Areas of Advance


Subject Categories

Aerospace Engineering

Vehicle Engineering

Fluid Mechanics and Acoustics

Control Engineering


Chalmers Laboratory of Fluids and Thermal Sciences



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