Flow Control III

Presentations

• Modification of conservation laws for 2D turbulent flows

  ORAL

  Nov. 22, 2021, 10:00 AM – Nov. 22, 2021, 10:13 AM

  Presenters

  • Aditya Nair

    University of Nevada, Reno

  Authors

  • Aditya Nair

    University of Nevada, Reno

  • James Hanna

    University of Nevada, Reno

  • Matteo Aureli

    University of Nevada, Reno

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• Information-theoretic control of wall-bounded turbulence

  ORAL

  Nov. 22, 2021, 10:13 AM – Nov. 22, 2021, 10:26 AM

  Presenters

  • Gonzalo Arranz

    Massachusetts Institute of Technology

  Authors

  • Gonzalo Arranz

    Massachusetts Institute of Technology

  • Adrian Lozano-Duran

    Massachusetts Institute of Technology MI, Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, MIT, Massachusetts Institute of Technology

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• Data-Driven blowing suction control in a turbulent channel flow

  ORAL

  Nov. 22, 2021, 10:26 AM – Nov. 22, 2021, 10:39 AM

  Presenters

  • Eric B Jagodinski

    Florida Atlantic University

  Authors

  • Eric B Jagodinski

    Florida Atlantic University

  • Sidhartha Verma

    Florida Atlantic University

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• Nonlinear Optimal Control and Design Optimization: a comparison of Direct-adjoint-Looping and one-shot methods

  ORAL

  Nov. 22, 2021, 10:39 AM – Nov. 22, 2021, 10:52 AM

  Presenters

  • Saleh Nabi

    Mitsubishi Elec Res Lab

  Authors

  • Saleh Nabi

    Mitsubishi Elec Res Lab

  • C. P. Caulfield

    BPI/DAMTP U. of Cambridge

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• Optimal control of PDEs using physics-informed neural networks (PINNs)

  ORAL

  Nov. 22, 2021, 10:52 AM – Nov. 22, 2021, 11:05 AM

  Presenters

  • Saviz Mowlavi

    Massachusetts Institute of Technology MI

  Authors

  • Saviz Mowlavi

    Massachusetts Institute of Technology MI

  • Saleh Nabi

    Mitsubishi Elec Res Lab

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• Control of Partially Observable Flows with Model-Free Reinforcement Learning

  ORAL

  Nov. 22, 2021, 11:05 AM – Nov. 22, 2021, 11:18 AM

  Presenters

  • Georgios Rigas

    Imperial College London

  Authors

  • Georgios Rigas

    Imperial College London

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• Sensor-based Temporal Super-Resolution of non-Time-Resolved Flowfields using Deep Learning

  ORAL

  Nov. 22, 2021, 11:18 AM – Nov. 22, 2021, 11:31 AM

  Publication: A paper is being planned, which will involve a deeper analysis into the proposed methods.

  Presenters

  • Kevin H Manohar

    University of Calgary

  Authors

  • Kevin H Manohar

    University of Calgary

  • Owen Williams

    University of Washington

  • Robert J Martinuzzi

    University of Calgary

  • Christopher R Morton

    University of Calgary

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• Machine Learning flow control in the few sensors limit

  ORAL

  Nov. 22, 2021, 11:31 AM – Nov. 22, 2021, 11:44 AM

  Presenters

  • Rodrigo Castellanos

    Aerospace Engineering Research Group, Universidad Carlos III de Madrid, Leganes, Spain

  Authors

  • Rodrigo Castellanos

    Aerospace Engineering Research Group, Universidad Carlos III de Madrid, Leganes, Spain

  • Ignacio de la Fuente

    Aerospace Engineering Research Group, Universidad Carlos III de Madrid, Leganes, Spain

  • Guy Y Cornejo Maceda

    CNRS, Laboratoire Interdisciplinaire des Sciences du Numérique, Université Paris-Saclay, 91400 Orsay, France

  • Bernd R Noack

    School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen, China

  • Andrea Ianiro

    Aerospace Engineering Research Group, Universidad Carlos III de Madrid, Leganes, Spain, Carlos III University

  • Stefano Discetti

    Aerospace Engineering Research Group, Universidad Carlos III de Madrid, Leganes, Spain, Carlos III University

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• Homogenization-based optimization and design of microstructured membranes: flow past a circular cylindrical shell

  ORAL

  Nov. 22, 2021, 11:44 AM – Nov. 22, 2021, 11:57 AM

  Presenters

  • Pier Giuseppe Ledda

    Ecole Polytechnique Federale de Lausanne

  Authors

  • Pier Giuseppe Ledda

    Ecole Polytechnique Federale de Lausanne

  • Edouard Boujo

    Ecole Polytechnique Federale de Lausanne

  • Simone Camarri

    Università di Pisa, DICI, University of Pisa

  • François Gallaire

    Ecole Polytechnique Federale de Lausanne

  • Giuseppe A Zampogna

    Ecole Polytechnique Federale de Lausanne

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• Learning Galerkin Reduced Order Model Closures for Feedback Flow Control with Differentiable Programming

  ORAL

  Nov. 22, 2021, 11:57 AM – Nov. 22, 2021, 12:10 PM

  Publication: Mohan, Arvind T., Kaushik Nagarajan, and Daniel Livescu. "Learning Stable Galerkin Models of Turbulence with Differentiable Programming." arXiv preprint arXiv:2107.07559 (2021).

  Presenters

  • Kaushik Nagarajan

    National Aerospace Laboratories, Bengaluru, India

  Authors

  • Arvind T Mohan

    Los Alamos National Laboratory, Computational Physics and Methods Group, Los Alamos National Laboratory, Los Alamos National Laboratory, Los Alamos, NM, USA

  • Kaushik Nagarajan

    National Aerospace Laboratories, Bengaluru, India

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