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physics.flu-dyn2026
High-lift Wing Separation Control via Bayesian Optimization and Deep Reinforcement Learning
Ricard MontalÃ, Bernat Font, Oriol Lehmkuhl +2
This study investigates active flow control (AFC) of a 30P30N high-lift wing at a Reynolds number Re = 450,000 and angle of attack = 23 using wallresolved large-ed…
physics.flu-dyn2025
SmartFlow: A CFD-solver-agnostic deep reinforcement learning framework for computational fluid dynamics on HPC platforms
Maochao Xiao, Yuning Wang, Felix Rodach +15
Deep reinforcement learning (DRL) is emerging as a powerful tool for fluid-dynamics research, encompassing active flow control, autonomous navigation, turbulence modeling and disco…
physics.flu-dyn2024
Turbulent Boundary Layer in a 3-Element High-LiftWing: Coherent Structures Identification
Ricard MontalÃ, Benet Eiximeno, Arnau Miró +2
A wall-resolved large-eddy simulation (LES) of the fluid flow around a 30P30N airfoil is conducted at a Reynolds number of Rec=750,000 and an angle of attack (AoA) of 9 degrees. Th…