Low-Order Modeling and Machine Learning

Presentations

• Using Deep Neural Networks for Data-Driven Prediction of Fluid Forces on Aerofoils

  ORAL

  Nov. 25, 2019, 1:45 PM – Nov. 25, 2019, 1:58 PM

  Authors

  • Tharindu Miyanawala

    • University of Moratuwa

  • Pasan Henadeera

    • University of Moratuwa

  • Nalaka Samaraweera

    • University of Moratuwa

  • Rajeev Jaiman

    • The University of British Columbia
    • University of British Columbia
    • UBC

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• Airfoil Shape Optimization using Deep Q - Network

  ORAL

  Nov. 25, 2019, 1:58 PM – Nov. 25, 2019, 2:11 PM

  Authors

  • Siddharth Rout

    • Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai, India

  • Prof. Chao-An Lin

    • Department of Power Mechanical Engineering, National Tsing Hua University, Hsinchu, Taiwan

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• Bringing Computational Fluid Dynamics at the heart of industrial processes: can Machine Learning help?

  ORAL

  Nov. 25, 2019, 2:11 PM – Nov. 25, 2019, 2:24 PM

  Authors

  • Christos Varsakelis

    • GlaxoSmithKline Biologicals

  • Sandrine Dessoy

    • GlaxoSmithKline Biologicals

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• Prediction of aerodynamic loads in turbulent flow conditions

  ORAL

  Nov. 25, 2019, 2:24 PM – Nov. 25, 2019, 2:37 PM

  Authors

  • Andreas Natsis

    • Portland State University

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• Airfoil control with Proximal Policy Optimization

  ORAL

  Nov. 25, 2019, 2:37 PM – Nov. 25, 2019, 2:50 PM

  Authors

  • Denis Dumoulin

    • UCLouvain

  • Philippe Chatelain

    • UCLouvain
    • Universit\'e catholique de Louvain
    • Université catholique de Louvain
    • Universite catholique de Louvain
    • Universite Catholique de Louvain, UCLouvain
    • Universite catholique de Louvain (UCLouvain)
    • Universite Catholique de Louvain

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• A reduced order model for store separation in high speed flow

  ORAL

  Nov. 25, 2019, 2:50 PM – Nov. 25, 2019, 3:03 PM

  Authors

  • Nicholas Peters

    • Embry-Riddle Aeronautical University

  • John Ekaterinaris

    • Embry-Riddle Aeronautical University
    • Embry Riddle Aeronautical University

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• Fast potential flow computations for low-order aerodynamic modelling

  ORAL

  Nov. 25, 2019, 3:03 PM – Nov. 25, 2019, 3:16 PM

  Authors

  • Diederik Beckers

    • University of California, Los Angeles

  • Jeff D. Eldredge

    • University of California, Los Angeles

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