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- W4207048614 abstract "We propose a novel active-flow-control strategy for bluff bodies to hide their hydrodynamic traces, i.e., strong shears and periodically shed vortices, from predators. A group of windward-suction-leeward-blowing (WSLB) actuators are adopted to control the wake of a circular cylinder submerged in a uniform flow. An array of velocity sensors is deployed in the near wake to provide feedback signals. Through the data-driven deep reinforcement learning, effective control strategies are trained for the WSLB actuation to mitigate the cylinder's hydrodynamic signatures. Only a 0.29% deficit in streamwise velocity is detected, which is a 99.5% reduction from the uncontrolled value. The same control strategy is found also to be effective when the cylinder undergoes transverse vortex-induced vibration. The findings from this study can shed some light on the design and operation of underwater structures and robotics to achieve hydrodynamic stealth." @default.
- W4207048614 created "2022-01-26" @default.
- W4207048614 date "2021-09-01" @default.
- W4207048614 modified "2023-10-18" @default.
- W4207048614 title "10.1063/5.0060690.2" @default.
- W4207048614 doi "https://doi.org/10.1063/5.0060690.2" @default.
- W4207048614 hasPublicationYear "2021" @default.
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