Flow Instability: Boundary Layers and Transition to Turbulence

Presentations

• Global receptivity of instability waves in the boundary layer on a high-speed blunt cone

  ORAL

  Nov. 23, 2021, 2:40 PM – Nov. 23, 2021, 2:53 PM

  Publication: Flint, T. & Hack, M. J. P. 2018 A computational framework for stability analysis of high-speed flows in complex geometries. Center for Turbulence Research. Annual Research Briefs pp. 221–235.

  Presenters

  • Tim Flint

    Center for Turbulence Research, Stanford University

  Authors

  • Tim Flint

    Center for Turbulence Research, Stanford University

  • Parviz Moin

    Center for Turbulence Research, Stanford University, Stanford University, Center for Turbulence Research, Stanford Univ

  • M. J. Philipp Hack

    Center for Turbulence Research, Stanford University

  View abstract →

• Predicting the nonlinear amplification of disturbances using the Spatial Perturbation Equations in a viscous boundary layer

  ORAL

  Nov. 23, 2021, 2:53 PM – Nov. 23, 2021, 3:06 PM

  Presenters

  • Shaun R Harris

    Center for Turbulence Research, Stanford University

  Authors

  • Shaun R Harris

    Center for Turbulence Research, Stanford University

  • Parviz Moin

    Center for Turbulence Research, Stanford University, Stanford University, Center for Turbulence Research, Stanford Univ

  • M. J. Philipp Hack

    Center for Turbulence Research, Stanford University

  View abstract →

• Asymptotic analysis of wavepackets in high speed boundary layers.

  ORAL

  Nov. 23, 2021, 3:06 PM – Nov. 23, 2021, 3:19 PM

  Presenters

  • Michelle Bailey

    University of Arizona

  Authors

  • Michelle Bailey

    University of Arizona

  • Anatoli Tumin

    University of Arizona

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• Interaction of Ultrasonic Acoustic Waves and Metasurface Structures for Hypersonic Boundary-Layer Stability Applications

  ORAL

  Nov. 23, 2021, 3:19 PM – Nov. 23, 2021, 3:32 PM

  Publication: We are working on a journal paper.

  Presenters

  • Furkan Oz

    Oklahoma State University

  Authors

  • Furkan Oz

    Oklahoma State University

  • Evan R Evans

    Oklahoma State University

  • Thomas E Goebel

    Oklahoma State University

  • Kursat Kara

    Oklahoma State University-Stillwater, Oklahoma State University

  • James M Manimala

    Oklahoma State University

  • Joseph S Jewell

    Purdue University

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• Matched DNS and experiments of roughness induced transition over realistic airfoil

  ORAL

  Nov. 23, 2021, 3:32 PM – Nov. 23, 2021, 3:45 PM

  Presenters

  • Charles Tusa

    University of Texas at Austin

  Authors

  • Charles Tusa

    University of Texas at Austin

  • Saikishan Suryanarayanan

    University of Texas at Austin, UT Austin, The University of Texas at Austin

  • David Goldstein

    University of Texas at Austin, The University of Texas at Austin

  • Ezequiel Justiniano

    Texas A&M University

  • Edward B White

    Texas A&M University

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• Recurrent Neural Network Model for Laminar-Turbulent Transition

  ORAL

  Nov. 23, 2021, 3:45 PM – Nov. 23, 2021, 3:58 PM

  Publication: Recurrent Neural Network for End-to-End Modeling of Laminar-Turbulent Transition. Data-Centric Engineering (2021), Accepted for publication

  Presenters

  • Muhammad Irfan Zafar

    Virginia Tech

  Authors

  • Muhammad Irfan Zafar

    Virginia Tech

  • Meelan Choudhari

    NASA Langley Research Center

  • Pedro Paredes

    National Institute of Aerospace, NIA, NASA Langley

  • Heng Xiao

    Virginia Tech, virginia tech

  View abstract →

• Influence of step height on the secondary instability in a boundary layer over backward-facing step

  ORAL

  Nov. 23, 2021, 3:58 PM – Nov. 23, 2021, 4:11 PM

  Presenters

  • Ming TENG

    Queen's University

  Authors

  • Ming TENG

    Queen's University

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• On the Physics and Control of Laminar Separation Bubbles Using Experiments, Theory and DNS

  ORAL

  Nov. 23, 2021, 4:11 PM – Nov. 23, 2021, 4:24 PM

  Publication: Borgmann, David, et al. "Investigation of low-speed boundary-layer instability and transition using experiments, theory and DNS." AIAA AVIATION 2020 FORUM. 2020.
  Borgmann, David, et al. "Investigation of laminar separation bubbles using experiments, theory and DNS." AIAA Aviation 2021 Forum. 2021.

  Presenters

  • David Borgmann

    University of Arizona

  Authors

  • David Borgmann

    University of Arizona

  • Shirzad Hosseinverdi

    University of Arizona

  • Jesse C Little

    University of Arizona

  • Hermann F Fasel

    University of Arizona

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• Direct numerical simulation of supersonic boundary layer transition induced by tunnel acoustic radiation

  ORAL

  Nov. 23, 2021, 4:24 PM – Nov. 23, 2021, 4:37 PM

  Presenters

  • Hemanth Goparaju

    Ohio State University

  Authors

  • Hemanth Goparaju

    Ohio State University

  • Yuchen Liu

    Missouri University of Science & Technology

  • Lian Duan

    Ohio State Univ - Columbus

  • Datta V Gaitonde

    Ohio State Univ - Columbus

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• Initial Conditions, Sensitivity, and Robustness for Statistical Modeling of Transition

  ORAL

  Nov. 23, 2021, 4:37 PM – Nov. 23, 2021, 4:50 PM

  Presenters

  • Daniel M israel

    Los Alamos National Laboratory, Los Alamos National Laboratory - XCP4

  Authors

  • Daniel M israel

    Los Alamos National Laboratory, Los Alamos National Laboratory - XCP4

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• Transition to turbulence over oriented superhydrophobic riblets.

  ORAL

  Nov. 23, 2021, 4:50 PM – Nov. 23, 2021, 5:03 PM

  Presenters

  • Antoine Jouin

    ENSAM, Politecnico di Bari

  Authors

  • Antoine Jouin

    ENSAM, Politecnico di Bari

  • Stefania Cherubini

    Politecnico di Bari

  • Jean-Christophe Robinet

    ENSAM, Arts et Métiers Institute of Technology

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• Counter-gradient vorticity transport mechanisms in boundary layer transition: Insights from conditional statistics

  ORAL

  Nov. 23, 2021, 5:03 PM – Nov. 23, 2021, 5:16 PM

  Presenters

  • Saikishan Suryanarayanan

    University of Texas at Austin

  Authors

  • Saikishan Suryanarayanan

    University of Texas at Austin

  • David Goldstein

    University of Texas at Austin, The University of Texas at Austin

  • Garry L Brown

    Princeton University

  View abstract →