Copertina

Optimizing pulsed blowing parameters for active separation control in a one-sided diffuser using reinforcement learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Müller, Alexandra, Schesny, Tobias, Steinfurth, Ben, Weiss, Julien
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Fluid Dynamics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Automatic extraction of wall streamlines from oil-flow visualizations using a convolutional neural network
di: Schulte-Sasse, Jonas, et al.
Pubblicazione: (2024)

Amplifying vortex shedding for energy harvesting with active flow control
di: Jaganath, Varun Varma, et al.
Pubblicazione: (2024)

Standing-Wave Dynamics in Low-Frequency Breathing of a Turbulent Separation Bubble
di: Fuchs, Lukas M., et al.
Pubblicazione: (2025)

Active flow control of a turbulent separation bubble through deep reinforcement learning
di: Font, Bernat, et al.
Pubblicazione: (2024)

Quantum reinforcement learning-based active flow control
di: Zhang, Hongfu, et al.
Pubblicazione: (2026)

Drag reduction via separation control using plasma actuators on a truck cabin side
di: Schneeberger, Lucas, et al.
Pubblicazione: (2025)

Deep-reinforcement-learning-based separation control in a two-dimensional airfoil
di: Garcia, Xavier, et al.
Pubblicazione: (2025)

Effects of thermal expansion on Taylor dispersion-controlled diffusion flames
di: Rajamanickam, Prabakaran, et al.
Pubblicazione: (2022)

Deep reinforcement learning of airfoil pitch control in a highly disturbed environment using partial observations
di: Beckers, Diederik, et al.
Pubblicazione: (2024)

Deep reinforcement transfer learning for active flow control of a 3D square cylinder under state dimension mismatch
di: Yan, Lei, et al.
Pubblicazione: (2024)

SENSE -- Sensor-Enhanced Neural Shear Stress Estimation for Quantitative Oilfilm Visualizations
di: Rohlfs, Lennart, et al.
Pubblicazione: (2025)

Strategies for energy-efficient flow control leveraging deep reinforcement learning
di: Jia, Wang, et al.
Pubblicazione: (2024)

Optimal navigation in two-dimensional flows: control theory and reinforcement learning
di: Parfenyev, Vladimir
Pubblicazione: (2025)

Deep reinforcement learning-based active flow control of an elliptical cylinder: transitioning from an elliptical cylinder to a circular cylinder and a flat plate
di: Jia, Wang, et al.
Pubblicazione: (2024)

Sloshing suppression with a controlled elastic baffle via deep reinforcement learning and SPH simulation
di: Ye, Mai, et al.
Pubblicazione: (2025)

Real-time reinforcement learning for turbulent state-dependent control in a bluff-body wake
di: Zhang, Junjie, et al.
Pubblicazione: (2025)

Flow control of three-dimensional cylinders transitioning to turbulence via multi-agent reinforcement learning
di: Suárez, P., et al.
Pubblicazione: (2024)

Transfer learning strategies for accelerating reinforcement-learning-based flow control
di: Salehi, Saeed
Pubblicazione: (2025)

Active flow control for drag reduction through multi-agent reinforcement learning on a turbulent cylinder at $Re_D=3900$
di: Suárez, P., et al.
Pubblicazione: (2024)

Average turbulence dynamics from a one-parameter kinetic theory
di: Chen, Hudong, et al.
Pubblicazione: (2024)

Vortex shedding suppression in elliptical cylinder via reinforcement learning
di: Jia, Wang, et al.
Pubblicazione: (2024)

A wall model for separated flows: embedded learning to improve a posteriori performance
di: Zhou, Zhideng, et al.
Pubblicazione: (2024)

Three-dimensional diffusive-thermal instability of flames propagating in a plane Poiseuille flow
di: Kelly, Aiden, et al.
Pubblicazione: (2024)

Optimal mesh generation for a non-iterative grid-converged solution of flow through a blade passage using deep reinforcement learning
di: Kim, Innyoung, et al.
Pubblicazione: (2024)

Stabilizing Rayleigh-Benard convection with reinforcement learning trained on a reduced-order model
di: Chen, Qiwei, et al.
Pubblicazione: (2025)

Deep reinforcement learning based navigation of a jellyfish-like swimmer in flows with obstacles
di: Chen, Yihao, et al.
Pubblicazione: (2025)

Experimental and theoretical investigation of drag loads on side-by-side flexible blades in a uniform current
di: Wei, Zhilong, et al.
Pubblicazione: (2025)

Multi-agent reinforcement learning for the control of three-dimensional Rayleigh-Bénard convection
di: Vasanth, Joel, et al.
Pubblicazione: (2024)

Wave and turbulence separation using dynamic mode decomposition
di: Chávez-Dorado, Julio, et al.
Pubblicazione: (2024)

Wavy-wall-based flow control for the suction side geometry of NACA4412 at Retau = 3000
di: Dróżdż, Artur, et al.
Pubblicazione: (2026)

Fluid transport by a single active filament in a three-dimensional two-phase flow
di: Mao, Qian, et al.
Pubblicazione: (2026)

Deep reinforcement learning for the management of the wall regeneration cycle in wall-bounded turbulent flows
di: Cavallazzi, Giorgio Maria, et al.
Pubblicazione: (2024)

Turbulent separation control with a tilted wavy wall: a promising approach for energy savings in aerodynamic systems
di: Kamiński, Piotr, et al.
Pubblicazione: (2025)

Attention on flow control: transformer-based reinforcement learning for lift regulation in highly disturbed flows
di: Liu, Zhecheng, et al.
Pubblicazione: (2025)

From synthetic turbulence to true solutions: A deep diffusion model for discovering periodic orbits in the Navier-Stokes equations
di: Parker, Jeremy P, et al.
Pubblicazione: (2026)

Advanced deep-reinforcement-learning methods for flow control: group-invariant and positional-encoding networks improve learning speed and quality
di: Jeon, Joongoo, et al.
Pubblicazione: (2024)

Triglobal resolvent-analysis-based control of separated flows around low-aspect-ratio wings
di: Ribeiro, Jean Hélder Marques, et al.
Pubblicazione: (2024)

Sensitivity analysis of wavy wall performance in turbulent separation control: Effects of amplitude and period variations
di: Kamiński, Piotr, et al.
Pubblicazione: (2025)

Experimental analysis of the role of base blowing geometry on three-dimensional blunt body wakes
di: Camacho-Sánchez, J. M., et al.
Pubblicazione: (2025)

Improving boundary-layer separation prediction by an IDDES turbulence model using a pressure-gradient sensor
di: Savino, Benjamin S., et al.
Pubblicazione: (2026)