3 papers
physics.flu-dyn2025
Sloshing suppression with a controlled elastic baffle via deep reinforcement learning and SPH simulation
Mai Ye, Yaru Ren, Silong Zhang +3
This study employed smoothed particle hydrodynamics (SPH) as the numerical environment, integrated with deep reinforcement learning (DRL) real-time control algorithms to optimize t…
cs.CE2024
Adaptive optimization of wave energy conversion in oscillatory wave surge converters via SPH simulation and deep reinforcement learning
Mai Ye, Chi Zhang, Yaru Ren +3
The nonlinear damping characteristics of the oscillating wave surge converter (OWSC) significantly impact the performance of the power take-off system. This study presents a framew…
cs.CE2024
DRLinSPH: An open-source platform using deep reinforcement learning and SPHinXsys for fluid-structure-interaction problems
Mai Ye, Hao Ma, Yaru Ren +3
Fluid-structure interaction (FSI) problems are characterized by strong nonlinearities arising from complex interactions between fluids and structures. These pose significant challe…