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  1. No Access

    Article

    The fluidic pinball with symmetric forcing displays steady, periodic, quasi-periodic, and chaotic dynamics

    We numerically investigate the fluidic pinball under symmetric forcing and find seven flow regimes under different rotation speeds. The fluidic pinball consists of three rotatable cylinders placed at the verti...

    Yanting Liu, Nan Deng, Bernd R. Noack in Theoretical and Computational Fluid Dynami… (2024)

  2. No Access

    Chapter

    Turbulence Control: From Model-Based to Machine Learned

    Flow analysis, modeling, and control are at the heart of engineering applications: aeronautics, airborne and ground transport, wind power generation, and industrial processes, to cite a few examples (Brunton a...

    Nan Deng, Guy Y. Cornejo Maceda, Bernd R. Noack in Fluids Under Control (2024)

  3. No Access

    Chapter

    Evolutionary Machine Learning in Control

    This chapter aims to give an overview of recent applications of Evolutionary Machine Learning (EML) to control including opportunities and challenges. Control is at the heart of engineering applications. Examp...

    Guy Y. Cornejo Maceda, Bernd R. Noack in Handbook of Evolutionary Machine Learning (2024)

  4. Article

    Open Access

    Aerodynamic optimization of a generic light truck under unsteady conditions using gradient-enriched machine learning control

    We present the first machine-learned multiple-input multiple-output aerodynamic feedback control under varying operating conditions. Closed-loop control is relevant to many fluid dynamic applications ranging f...

    Richard Semaan, Philipp Oswald, Guy Y. Cornejo Maceda in Experiments in Fluids (2023)

  5. Article

    Open Access

    A Fast-Converging Particle Swarm Optimization through Targeted, Position-Mutated, Elitism (PSO-TPME)

    We improve convergence speed by two orders of magnitude and the global exploration capabilities of particle swarm optimization (PSO) through targeted position-mutated elitism (TPME). The proposed fast-convergi...

    Tamir Shaqarin, Bernd R. Noack in International Journal of Computational Int… (2023)

  6. No Access

    Article

    Artificial intelligence in fluid mechanics

    Recent progress in machine learning and big data not only forms a new research paradigm, but also provides opportunity to solve grand challenges in fluid mechanics. Following the disciplinary development, this...

    Wei-Wei Zhang, Bernd R. Noack in Acta Mechanica Sinica (2021)

  7. No Access

    Article

    Bayesian optimization for active flow control

    A key question in flow control is that of the design of optimal controllers when the control space is high-dimensional and the experimental or computational budget is limited. We address this formidable challe...

    Antoine B. Blanchard, Guy Y. Cornejo Maceda, Dewei Fan, Yiqing Li in Acta Mechanica Sinica (2021)

  8. No Access

    Article

    Genetic-algorithm-based artificial intelligence control of a turbulent boundary layer

    An artificial intelligence (AI) open-loop control system is developed to manipulate a turbulent boundary layer (TBL) over a flat plate, with a view to reducing friction drag. The system comprises six synthetic...

    Jianing Yu, Dewei Fan, Bernd. R. Noack, Yu Zhou in Acta Mechanica Sinica (2021)

  9. No Access

    Chapter and Conference Paper

    Large-Eddy Simulation on Jet Mixing Enhancement Using Unsteady Minijets

    Minijet is one of the most promising active methods for the enhancement of jet mixing. The injection of minijets into a turbulent jet before the jet exit may have multiple impacts on the jet mixing structure. ...

    Yanyan Feng, Dewei Fan, Bernd R. Noack in Fluid-Structure-Sound Interactions and Con… (2021)

  10. No Access

    Chapter and Conference Paper

    Artificial Intelligence Control of a Turbulent Jet

    An artificial intelligence (AI) control system is developed to manipulate a turbulent jet targeting maximal mixing. The control system consists of sensors (two hot-wires), genetic programming for evolving the ...

    Dewei Fan, Yu Zhou, Bernd R. Noack in Fluid-Structure-Sound Interactions and Control (2021)

  11. No Access

    Chapter and Conference Paper

    Closed-Loop Drag Reduction Over a D-Shaped Body Via Coanda Actuation

    Up to 40% drag reduction was achieved for a D-shaped cylinder in an experiment with robust model-based closed-loop control. The flow is actuated with on-off jet slots blowing in the stream-wise direction over ...

    Tamir Shaqarin, Philipp Oswald in Fluid-Structure-Sound Interactions and Con… (2021)

  12. No Access

    Chapter

    Active Flow Control Experiments on a High-Lift Configuration

    The present study investigates the lift gains generated by the superposition of a periodic actuation component onto a steady component on an airfoil with a highly deflected Coanda flap. The presented results a...

    Richard Semaan, Yosef El Sayed, Stefan Loges in Fundamentals of High Lift for Future Civil… (2021)

  13. Article

    Open Access

    Drag Reduction and Energy Saving by Spanwise Traveling Transversal Surface Waves for Flat Plate Flow

    Wall-resolved large-eddy simulations are performed to study the impact of spanwise traveling transversal surface waves in zero-pressure gradient turbulent boundary layer flow. Eighty variations of wavelength, ...

    Marian Albers, Pascal S. Meysonnat, Daniel Fernex in Flow, Turbulence and Combustion (2020)

  14. No Access

    Chapter and Conference Paper

    Closed-Loop Turbulence Control-From Human to Machine Learning (and Retour)

    Feedback turbulence control is a rapidly evolving, interdisciplinary field of research. The range of current and future engineering applications of closed-loop turbulence control has truly epic proportions, in...

    Bernd R. Noack in Fluid-Structure-Sound Interactions and Control (2019)

  15. No Access

    Chapter and Conference Paper

    Reduced-Order Modeling of the Fluidic Pinball

    The fluidic pinball is a geometrically simple wake flow configuration with three rotating cylinders on the vertex of an equilateral triangle. Yet, it remains physically rich enough to host a range of interacti...

    Luc R. Pastur, Nan Deng, Marek Morzyński in 11th Chaotic Modeling and Simulation Inter… (2019)

  16. No Access

    Chapter

    Unstable Periodically Forced Navier–Stokes Solutions–Towards Nonlinear First-Principle Reduced-Order Modeling of Actuator Performance

    We advance the computation of physical modal expansions for unsteady incompressible flows. Point of departure is a linearization of the Navier–Stokes equations around its fixed point in a frequency domain form...

    Marek Morzyński, Wojciech Szeliga in Computational Modelling of Bifurcations an… (2019)

  17. No Access

    Article

    Jet mixing optimization using machine learning control

    We experimentally optimize mixing of a turbulent round jet using machine learning control (MLC) following Li et al. (Exp Fluids 58(article 103):1–20, 2017). The jet is manipulated with one unsteady minijet blo...

    Zhi Wu, Dewei Fan, Yu Zhou, Ruiying Li, Bernd R. Noack in Experiments in Fluids (2018)

  18. No Access

    Article

    Cluster-based control of a separating flow over a smoothly contoured ramp

    The ability to manipulate and control fluid flows is of great importance in many scientific and engineering applications. The proposed closed-loop control framework addresses a key issue of model-based control...

    Eurika Kaiser, Bernd R. Noack, Andreas Spohn in Theoretical and Computational Fluid Dynami… (2017)

  19. No Access

    Article

    Drag reduction of a car model by linear genetic programming control

    We investigate open- and closed-loop active control for aerodynamic drag reduction of a car model. Turbulent flow around a blunt-edged Ahmed body is examined at

    Ruiying Li, Bernd R. Noack, Laurent Cordier, Jacques Borée in Experiments in Fluids (2017)

  20. Article

    Open Access

    On the need of mode interpolation for data-driven Galerkin models of a transient flow around a sphere

    We present a low-dimensional Galerkin model with state-dependent modes capturing linear and nonlinear dynamics. Departure point is a direct numerical simulation of the three-dimensional incompressible flow aro...

    Witold Stankiewicz, Marek Morzyński in Theoretical and Computational Fluid Dynami… (2017)

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