Flow Control I

Presentations

• Using ROMs and adjoint-ROMs to optimize the flow past pitching-plunging wings

  ORAL

  Nov. 21, 2021, 10:00 AM – Nov. 21, 2021, 10:13 AM

  Presenters

  • Bolun Xu

    Kansas State University

  Authors

  • Bolun Xu

    Kansas State University

  • Mingjun Wei

    Kansas State University

  • John T Hrynuk

    US Army Research Lab Aberdeen

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• Feedback Stabilization of Incompressible Flows using the Quadratic Constraint Framework

  ORAL

  Nov. 21, 2021, 10:13 AM – Nov. 21, 2021, 10:26 AM

  Presenters

  • Talha Mushtaq

    University of Minnesota

  Authors

  • Talha Mushtaq

    University of Minnesota

  • Peter Seiler

    University of Michigan, Ann Arbor, University of Michigan

  • Maziar S Hemati

    University of Minnesota

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• Data-Driven Modeling and Control of Oscillatory Instabilities in a Kolmogorov-like Flow

  ORAL

  Nov. 21, 2021, 10:26 AM – Nov. 21, 2021, 10:39 AM

  Presenters

  • Nicholas Conlin

    University of Minnesota

  Authors

  • Nicholas Conlin

    University of Minnesota

  • Maziar S Hemati

    University of Minnesota

  • Jeffrey R Tithof

    University of Minnesota

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• Machine Learning for "Self-Healing" Flow Control

  ORAL

  Nov. 21, 2021, 10:39 AM – Nov. 21, 2021, 10:52 AM

  Presenters

  • Alejandro Stefan-Zavala

    Caltech

  Authors

  • Alejandro Stefan-Zavala

    Caltech

  • Chris Dougherty

    Caltech

  • Morteza Gharib

    Caltech, California Institute of Technology

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• Physics-informed model-based deep reinforcement learning for dynamic flow control

  ORAL

  Nov. 21, 2021, 10:52 AM – Nov. 21, 2021, 11:05 AM

  Publication: Xinyang Liu and Jian-Xun Wang, Physics-informed Dyna-Style Model-Based Deep Reinforcement Learning for Dynamic Control, Arxiv Preprint. 2021

  Presenters

  • Jian-Xun Wang

    University of Notre Dame

  Authors

  • Jian-Xun Wang

    University of Notre Dame

  • Xinyang Liu

    University of Notre Dame

  • Han Gao

    University of Notre Dame

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• Deep Reinforcement Learning Using Data-Driven Reduced-Order Models Discovers and Stabilizes Low Dissipation Equilibria

  ORAL

  Nov. 21, 2021, 11:05 AM – Nov. 21, 2021, 11:18 AM

  Presenters

  • Kevin Zeng

    University of Wisconsin - Madison

  Authors

  • Kevin Zeng

    University of Wisconsin - Madison

  • Alec Linot

    University of Wisconsin - Madison

  • Michael D Graham

    University of Wisconsin - Madison

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• Deep Reinforcement Learning for Active Drag Reduction in Wall Turbulence

  ORAL

  Nov. 21, 2021, 11:18 AM – Nov. 21, 2021, 11:31 AM

  Presenters

  • Luca Guastoni

    SimEx/FLOW, KTH Engineering Mechanics

  Authors

  • Luca Guastoni

    SimEx/FLOW, KTH Engineering Mechanics

  • Ali Ghadirzadeh

    Robotics, Perception and Learning (RPL), KTH Royal Institute of Technology

  • Jean Rabault

    Norwegian Meteorological Institute, University of Oslo

  • Philipp Schlatter

    SimEx/FLOW, KTH Engineering Mechanics, Royal Institute of Technology, Stockholm, Sweden, KTH Royal Institute of Technology, SimEx/FLOW, KTH Engineering Mechanics

  • Hossein Azizpour

    Robotics, Perception and Learning (RPL), KTH Royal Institute of Technology, KTH Royal Institute of Technology

  • Ricardo Vinuesa

    SimEx/FLOW, KTH Engineering Mechanics, Royal Institute of Technology, Stockholm, Sweden, KTH Royal Institute of Technology, KTH, SimEx/FLOW, KTH Engineering Mechanics

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• A time parallelised adjoint-based optimization strategy applied to incompressible flow configurations

  ORAL

  Nov. 21, 2021, 11:31 AM – Nov. 21, 2021, 11:44 AM

  Presenters

  • Serena Costanzo

    Sorbonne University

  Authors

  • Serena Costanzo

    Sorbonne University

  • Taraneh Sayadi

    Sorbonne University

  • Miguel Fosas de Pando

    Universidad de Cádiz, University of Cadiz

  • Peter J Schmid

    Imperial College London

  • Pascal Frey

    Sorbonne University

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• Stochastic optimisation of the flow around a linear cascade of blades

  ORAL

  Nov. 21, 2021, 11:44 AM – Nov. 21, 2021, 11:57 AM

  Presenters

  • Alejandro Quirós Rodríguez

    Sorbonne University

  Authors

  • Alejandro Quirós Rodríguez

    Sorbonne University

  • Taraneh Sayadi

    Sorbonne University

  • Miguel Fosas de Pando

    Universidad de Cádiz, University of Cadiz

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