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, 12:40 PM – Nov. 23, 2021, 12:53 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, 12:53 PM – Nov. 23, 2021, 1:06 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, 1:06 PM – Nov. 23, 2021, 1:19 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, 1:19 PM – Nov. 23, 2021, 1:32 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, 1:32 PM – Nov. 23, 2021, 1:45 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

  View abstract →

• Recurrent Neural Network Model for Laminar-Turbulent Transition

  ORAL

  Nov. 23, 2021, 1:45 PM – Nov. 23, 2021, 1:58 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

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

  ORAL

  Nov. 23, 2021, 1:58 PM – Nov. 23, 2021, 2:11 PM

  Presenters

  • Ming TENG

    • Queen's University

  Authors

  • Ming TENG

    • Queen's University

  View abstract →

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

  ORAL

  Nov. 23, 2021, 2:11 PM – Nov. 23, 2021, 2:24 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, 2:24 PM – Nov. 23, 2021, 2:37 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, 2:37 PM – Nov. 23, 2021, 2:50 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, 2:50 PM – Nov. 23, 2021, 3:03 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, 3:03 PM – Nov. 23, 2021, 3:16 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 →