3 papers
physics.flu-dyn2025
Strategies for energy-efficient flow control leveraging deep reinforcement learning
Wang Jia, Hang Xu
This study investigates active flow control in two-dimensional flows at a Reynolds number of 100 using Deep Reinforcement Learning (DRL). We utilize DRL to develop flow control str…
physics.flu-dyn2025
Vortex shedding suppression in elliptical cylinder via reinforcement learning
Wang Jia, Hang Xu
Flow control of bluff bodies plays a critical role in engineering applications. In this study, deep reinforcement learning (DRL) is employed to develop flow control strategies for…
physics.flu-dyn2024
Effect of Synthetic Jets Actuator Parameters on Deep Reinforcement Learning-Based Flow Control Performance in a Square Cylinder
Wang Jia, Hang Xu
We conduct an active flow control (AFC) study on the mass flow rate of synthetic jets on the upper and lower surfaces of a square cylinder using a deep reinforcement learning (DRL)…