Numerical method for particulate-induced high-speed boundary-layer transition simulations

Oliver M.F. Browne, Sayed M.A. Al Hasnine, Christoph Brehm

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

A new numerical method to efficiently simulate particulate interactions with high-speed transitional boundary-layer flows is presented. A particulate solver, employing Crowe’s correlation, is used to calculate the particulate trajectory. The solver is fully coupled via a particulate–flow interaction source term to a nonlinear disturbance flow solver based on the compressible Navier–Stokes equations. To efficiently simulate the particulate–flow interactions, an adaptive mesh refinement approach is used to capture the wide range of temporal and spatial scales present in the laminar–turbulent transition process. The particulate impingement simulations for a M 4 flow over a 14 deg wedge and two different particulate impingement locations employing the newly developed numerical approach are compared against simulations using a conventional static-mesh approach. For the flow conditions considered, oblique first-mode instability waves dominate the early stage of the transition process. In the second part of this paper, the differences between pulse and particulate impingement simulations are investigated in two and three dimensions for a M 5.35 flat-plate boundary-layer flow where two-dimensional second-mode instability waves are most amplified in the primary instability regime.

Original languageEnglish
Pages (from-to)1196-1213
Number of pages18
JournalAIAA Journal
Volume59
Issue number4
DOIs
StatePublished - 2021

Bibliographical note

Publisher Copyright:
© AIAA International. All rights reserved.

Funding

Funding support provided by the Office of Naval Research under contract N00014-19-1-2223 with Eric Marineau as Program Manager is gratefully acknowledged. This research is also part of the Blue Waters sustained-petascale computing project, which is supported by the National Science Foundation (awards OCI-0725070 and ACI-1238993) and the state of Illinois. Blue Waters is a joint effort of the University of Illinois at Urbana–Champaign and its National Center for Supercomputing Applications. The authors want to thank Eric Marineau and Anatoli Tumin for many fruitful discussions on this topic. The authors would also like to thank Pavel Chuvakhov, Alexander Fedorov, and Anton Obraz for providing validation data. Finally, the wave-packet tracking technique used in this research was previously developed in a collaboration with Hermann Fasel and Anthony Haas.

FundersFunder number
National Science Foundation Arctic Social Science ProgramOCI-0725070, ACI-1238993
Office of Naval Research Naval AcademyN00014-19-1-2223

    ASJC Scopus subject areas

    • Aerospace Engineering

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