Explorative gradient method for active drag reduction of the fluidic pinball and slanted Ahmed body
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Publication:5016162
DOI10.1017/jfm.2021.974OpenAlexW3097256151MaRDI QIDQ5016162
Yiqing Li, Qiliang Li, Bernd R. Noack, Marek Morzyński, Wenshi Cui, Zhigang Yang, Qing Jia
Publication date: 13 December 2021
Published in: Journal of Fluid Mechanics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1905.12036
Reynolds-averaged Navier-Stokes equationsconvergence ratewakeflow controlLatin hypercube sampling iteration
Navier-Stokes equations for incompressible viscous fluids (76D05) Wakes and jets (76D25) Basic methods in fluid mechanics (76M99) Flow control and optimization for incompressible viscous fluids (76D55)
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Comparative analysis of machine learning methods for active flow control, Self-tuning model predictive control for wake flows, Numerical-experimental geometric optimization of the Ahmed body and analyzing boundary layer profiles, Cylinder drag minimization through wall actuation: a Bayesian optimization approach
Cites Work
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- Numerical simulation of vortex induced vibrations and its control by suction and blowing
- Coupling active and passive techniques to control the flow past the square back ahmed body
- Investigation of the LES WALE turbulence model within the lattice Boltzmann framework
- Assessment of hybrid RANS-LES formulations for flow simulation around the Ahmed body
- On simulating the turbulent flow around the Ahmed body: a French-German collaborative evaluation of LES and DES
- A Revised Simplex Search Procedure for Stochastic Simulation Response Surface Optimization
- A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code
- Physics and control of wall turbulence for drag reduction
- Feedback shear layer control for bluff body drag reduction
- Linear feedback stabilization of laminar vortex shedding based on a point vortex model
- Large eddy simulation of flows around ground vehicles and other bluff bodies
- Flow Control
- Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control
- Data-Driven Science and Engineering
- Upstream actuation for bluff-body wake control driven by a genetically inspired optimization
- Stabilization of the fluidic pinball with gradient-enriched machine learning control
- Control of chaotic systems by deep reinforcement learning
- Low-order model for successive bifurcations of the fluidic pinball
- Numerical simulations of flow past three circular cylinders in equilateral-triangular arrangements
- Metric for attractor overlap
- Cluster-based feedback control of turbulent post-stall separated flows
- Drag reduction in flow over a two-dimensional bluff body with a blunt trailing edge using a new passive device
- The wake of a cylinder performing rotary oscillations
- A Simplex Method for Function Minimization
