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physics.flu-dyn2025

Observer-based neural networks for flow estimation and control

Tarcísio C. Déda, William R. Wolf, Scott T. M. Dawson +1

Neural network observers (NNOs) are proposed for real-time estimation of fluid flows, addressing a key challenge in flow control: obtaining real-time flow states from a limited set…

physics.flu-dyn2025

Active flow control of vertical-axis wind turbines: Insights from large-eddy simulation and finite-time resolvent analysis

Lucas Feitosa de Souza, Renato Fuzaro Miotto, William Roberto Wolf

Active flow control is applied to improve the aerodynamic performance of a NACA0018 airfoil operating as a single-bladed vertical axis wind turbine (VAWT). Results computed by wall…

physics.flu-dyn2025

A sensor-restrained artificial shear diffusivity for large-eddy simulations of vortex-dominated compressible flows

Jean Hélder Marques Ribeiro, Hugo Felippe da Silva Lui, William Roberto Wolf

We propose a sensor-restrained model for the shear viscosity term within the localized artificial diffusivity (LAD) scheme to stabilize compressible large-eddy simulations with low…

physics.flu-dyn2025

Duty-cycle actuation for drag reduction of deep dynamic stall: Insights from linear stability analysis

Lucas Feitosa de Souza, William Roberto Wolf, Maryam Safari +1

A flow control framework based on linear stability analysis is proposed focusing on reducing the aerodynamic drag due to dynamic stall through a finite-window temporal actuation. T…

physics.flu-dyn2024

Intermittency of a transitional airfoil flow with laminar separation bubble solved by the lattice-Boltzmann method

Bernardo Luiz Ribeiro, Cayan Dantas, William Wolf

The flow over a NACA0012 airfoil at a moderate Reynolds number Re = 50,000 and angle of attack of alpha = 3 degrees is investigated using the lattice-Boltzmann method (LBM). The LB…