CFD: LES, DNS, Hybrid RANS/LES II

Presentations

• Neural network-based closure models for large-eddy simulations with explicit filtering

  ORAL

  Nov. 20, 2023, 1:50 PM – Nov. 20, 2023, 2:03 PM

  Presenters

  • Mark Benjamin

    • Department of Mechanical Engineering, Stanford University

  Authors

  • Mark Benjamin

    • Department of Mechanical Engineering, Stanford University

  • Gianluca Iaccarino

    • Stanford University

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• Drag Reduction in Flows Past 2D and 3D Circular Cylinders Through Reinforcement Learning

  ORAL

  Nov. 20, 2023, 2:03 PM – Nov. 20, 2023, 2:16 PM

  Presenters

  • Sergey Litvinov

    • Harvard University

  Authors

  • Sergey Litvinov

    • Harvard University

  • Michail Chatzimanolakis

    • ETH Zurich

  • Pascal Weber

    • Harvard University, ETH Zurich

  • Petros Koumoutsakos

    • Harvard University

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• A Sensitized-RANS, Reynolds-Stress Modeling Study of Flow and Thermal Fields affected by Streamline Curvature

  ORAL

  Nov. 20, 2023, 2:16 PM – Nov. 20, 2023, 2:29 PM

  Presenters

  • Suad Z Jakirlic

    • Technical University Darmstadt

  Authors

  • Suad Z Jakirlic

    • Technical University Darmstadt

  • Maximilian Bopp

    • Technical University of Darmstadt

  • Ivan S Joksimovic

    • Technical University of Darmstadt, Germany

  • Sebastian Wegt

    • d-fine GmbH, Frankfurt, Germany

  • Louis S Krüger

    • Technical University of Darmstadt, Germany

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• Regimes of flow over a 6:1 prolate spheroid

  ORAL

  Nov. 20, 2023, 2:29 PM – Nov. 20, 2023, 2:42 PM

  Presenters

  • Marc Plasseraud

    • University of Michigan

  Authors

  • Marc Plasseraud

    • University of Michigan

  • Krishnan Mahesh

    • University of Minnesota
    • University of Michigan

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• On the potential of sensitized RANS approaches for unsteady turbulent wall-bounded flows

  ORAL

  Nov. 20, 2023, 2:42 PM – Nov. 20, 2023, 2:55 PM

  Publication: Saini, R., Brasseur, J. G., & Mehdizadeh, A. (2023). A foundational step towards understanding and improving the transition between URANS and LES in hybrid URANS-LES methodology. Computers & Fluids, 259, 105896.

  Presenters

  • AMIRFARHANG MEHDIZADEH

    • University of Missouri - Kansas City

  Authors

  • AMIRFARHANG MEHDIZADEH

    • University of Missouri - Kansas City

  • Rohit Saini

    • University of Missouri Kansas City

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• A Generalized Turbulence Forcing Method to Enable DNS at High Reynolds Numbers

  ORAL

  Nov. 20, 2023, 2:55 PM – Nov. 20, 2023, 3:08 PM

  Publication: "Large/Small Eddy Simulations: High-fidelity Numerical Simulation Strategy for High Reynolds Number Turbulent Flows", Chang Hsin Chen, Arnab Moitro, Alexei Poludnenko, AIAA Scitech 2024 (submitted)
  "Large/small eddy simulations: A method for extracting small-scale turbulence structure from poorly resolved simulations", Arnab Moitro, Chang Hsin Chen, Sai Sandeep Dammati, Alexei Poludnenko (in preparation)
  

  Presenters

  • Arnab Moitro

    • University of Connecticut

  Authors

  • Arnab Moitro

    • University of Connecticut

  • Chang Hsin Chen

    • University of Connecticut

  • Sai Sandeep Dammati

    • University of Connecticut

  • Alexei Y Poludnenko

    • University of Connecticut

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• Abstract Withdrawn

  ORAL · Withdrawn

  Nov. 20, 2023, 3:08 PM – Nov. 20, 2023, 3:21 PM

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• Two-Scale Large Eddy Simulation Method for Incompressible Two-Fluid Turbulent Flows

  ORAL

  Nov. 20, 2023, 3:21 PM – Nov. 20, 2023, 3:34 PM

  Presenters

  • Kelli L Hendrickson

    • Massachusetts Institute of Technology MIT
    • Massachusetts Institute of Technology MI

  Authors

  • Kelli L Hendrickson

    • Massachusetts Institute of Technology MIT
    • Massachusetts Institute of Technology MI

  • Declan B Gaylo

    • Massachusetts Institute of Technology MIT

  • Dick K Yue

    • Massachusetts Institute of Technology MIT

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