Abstract
A novel numerical approach for simulating unstable nonlinear wavepackets in hypersonic boundary-layers is presented. The adaptive mesh refinement wavepacket tracking (AMR-WPT) method has been developed as an efficient alternative to conventional direct numerical simulations (DNS). The AMR-WPT method employs the nonlinear disturbances equations (NLDE), an overset dual mesh approach with higher-order interapolation, and adaptive mesh refinement (AMR) to track wavepackets in hypersonic boundary-layer flows. The AMR-WPT method is also extended for for complex geometries by coupling in an immersed boundary method (AMR-WPT-IBM). After introducing the numerical details, the method is employed to simulate linear and nonlinear wavepackets for an axisymmetric M=9.81 straight cone and 2-D/3-D M=5.35 flat plate boundary-layer. The simulation results are compared against classical stability and transition prediction tools, such as linear stability theory (LST), parabolized stability equations (PSE) and DNS. It is demonstrated that the AMR-WPT method requires only 10% of the number of grid points when compared to DNS of a nonlinear wavepacket inside a hypersonic flat plate boundary-layer flow.
| Original language | English |
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| Title of host publication | AIAA AVIATION 2020 FORUM |
| DOIs | |
| State | Published - 2020 |
| Event | AIAA AVIATION 2020 FORUM - Virtual, Online Duration: Jun 15 2020 → Jun 19 2020 |
Publication series
| Name | AIAA AVIATION 2020 FORUM |
|---|---|
| Volume | 1 PartF |
Conference
| Conference | AIAA AVIATION 2020 FORUM |
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| City | Virtual, Online |
| Period | 6/15/20 → 6/19/20 |
Bibliographical note
Funding Information:This work was supported by the U.S. Air Force under a Phase 2 SBIR contract (FA9101-18-C-0018), with John Lafferty serving as the Technical Point of Contact. The views and conclusions contained herein are those of the authors and should not be interpreted as representing the official policies or endorsements, either expressed or implied, of the U.S. Air Force or the U.S. Government. 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. Finally, the authors want to thank Dr. Eric Marineau for many fruitful discussions on this topic.
Funding Information:
This work was supported by the U.S. Air Force under a Phase 2 SBIR contract (FA9101-18-C-0018), with John Lafferty serving as the Technical Point of Contact. The views and conclusions contained herein are those of the authors and should not be interpreted as representing the official policies or endorsements, either expressed or implied, of the U.S. Air Force or the U.S. Government.
Funding Information:
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. Finally, the authors want to thank Dr. Eric Marineau for many fruitful discussions on this topic.
Publisher Copyright:
© 2020, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.
ASJC Scopus subject areas
- Nuclear Energy and Engineering
- Aerospace Engineering
- Energy Engineering and Power Technology