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.<br>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

  View abstract →

• 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 →