Published June 2020 | Version Accepted Version
Book Section - Chapter Open

Application of the One-Way Navier-Stokes (OWNS) Equations to Hypersonic Boundary Layers

  • 1. ROR icon California Institute of Technology
  • 2. ROR icon Imperial College London
  • 3. ROR icon Boeing (United States)

Abstract

Prediction of linear amplification of disturbances in hypersonic boundary layers is challenging due to the presence and interactions of discrete modes (e.g. Tollmien-Schlichting and Mack) and continuous modes (entropic, vortical, and acoustic). While DNS and global analysis can be used, the large grids required make the computation of optimal transient and forced responses expensive, particularly when a large parameter space is required. At the same time, parabolized stability equations are non-convergent and unreliable for problems involving multi-modal and non-modal interactions. In this work, we apply the One-Way Navier-Stokes (OWNS) equations to hypersonic boundary layers. OWNS is based on a rigorous, approximate parabolization of the equations of motion that removes disturbances with upstream group velocity using a high-order recursive filter. We extend the original algorithm by considering non-orthogonal body-fitted curvilinear coordinates and incorporate full compressibility with temperature-dependent fluid properties. We validate the results by comparing to DNS data for a flat plate and sharp cone, and to LST results for local disturbances on the centerline of the HIFiRE-5 elliptic cone. OWNS provides DNS-quality results for the former flows at a small fraction of the computational expense.

Additional Information

© 2020 by Omar Kamal, Georgios Rigas, Matthew T. Lakebrink, Tim Colonius. Published by the American Institute of Aeronautics and Astronautics, Inc., with permission. This work has been supported by The Boeing Company through the Strategic Research and Development Relationship Agreement CT-BA-GTA-1. We also acknowledge support of the Natural Sciences and Engineering Research Council of Canada via the Postgraduate Doctoral Scholarship (PGSD3-532522-2019).

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Accepted Version - KamalRigasLakebrinkEtAl2020.pdf

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Additional details

Identifiers

Eprint ID
111298
Resolver ID
CaltechAUTHORS:20211008-210432471

Funding

Boeing Company Strategic Research and Development Relationship
CT-BA-GTA-1
Natural Sciences and Engineering Research Council of Canada (NSERC)
PGSD3-532522-2019

Dates

Created
2021-10-08
Created from EPrint's datestamp field
Updated
2021-10-08
Created from EPrint's last_modified field

Caltech Custom Metadata

Other Numbering System Name
AIAA Paper
Other Numbering System Identifier
2020-2986