Genetic algorithm optimization of an opposition control strategy in a fully turbulent channel flow

The proposed study investigates a real-time opposition control strategy to reduce the skin friction drag driven by a genetic algorithm optimization. The experiments are carried out in a fully turbulent channel flow having the friction Reynolds number of 420. Opposition control of sweep events is implemented using a wall-normal jet. Changes to the turbulence structure in the region closer to the wall are examined using hot-wire anemometry. By using a genetic algorithm, amplitude, frequency, and delay are optimized to minimize the sweep events intensity.