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Multi-frequency aerodynamic control of a yawed bluff body optimized with a genetic algorithm
Journal of Wind Engineering and Industrial Aerodynamics ( IF 4.8 ) Pub Date : 2021-03-31 , DOI: 10.1016/j.jweia.2021.104600
Z.X. Qiao , G. Minelli , B.R. Noack , S. Krajnović , V. Chernoray

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.



中文翻译:

用遗传算法优化偏航钝体的多频空气动力学控制

这项实验工作旨在研究基于遗传算法优化的偏航角为10°的钝体流的操纵方式。两个扬声器用于通过顺流槽产生零净质量通量射流,该通量槽跨越钝体的圆形A柱的很大一部分。对于背风和迎风侧控制,这些致动分别使最大阻力减小了17%和2%。遗传算法发现了两个典型的频率,分别在上风侧和下风侧驱动执行器。在最佳控制律下,阻力减小为20%,比参考单频控制所达到的17%大3%。此外,在考虑能源效率时会观察到有益的效果,与单频控制相比,在最佳控制中提高了30%。

更新日期:2021-03-31
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