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Published August 2021 | Accepted Version
Book Section - Chapter Open

Input/Output Analysis of Hypersonic Boundary Layers using the One-Way Navier-Stokes (OWNS) Equations

Abstract

Accurate prediction of linear amplification of disturbances in hypersonic boundary layers is computationally challenging. While direct numerical simulations and global analysis can be used to compute optimal (worst-case) forced responses, their large computational expense render these tools less practical for large design parameter spaces. At the same time, parabolized stability equations can be unreliable for problems involving multi-modal and non-modal interactions. To bridge this gap, we apply an approximate fast marching technique, the One-Way Navier-Stokes (OWNS) Equations, in iterative fashion to solve for optimal disturbances. OWNS approximates a rigorous parabolization of the equations of motion by removing disturbances with upstream group velocity using a higher-order recursive filter. Using OWNS, we aim to characterize disturbances of flat-plate and complex-geometry hypersonic boundary layers over a range of Mach numbers, and find optimal disturbances under different cost functions that define corresponding receptivity problems. The calculation of optimal disturbances reveals multi-modal transition scenarios depending on the spatial support, frequency, and physical nature of the external disturbances.

Additional Information

© 2021 by Omar Kamal, Georgios Rigas, Matthew T. Lakebrink, and 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, and more recently through the Office of Naval Research via grant N00014-21-1-2158. 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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Additional details

Created:
August 20, 2023
Modified:
October 20, 2023