Bulletin of the American Physical Society
77th Annual Meeting of the Division of Fluid Dynamics
Sunday–Tuesday, November 24–26, 2024; Salt Lake City, Utah
Session ZC11: Low-Order Modeling and Machine Learning in Fluid Dynamics: Other Applications II
12:50 PM–2:47 PM,
Tuesday, November 26, 2024
Room: 155 A
Chair: Hamid Reza Karbasian, Southern Methodist University
Abstract: ZC11.00003 : Dynamic Mode Decomposition of Wake Flow Structures for Supersonic Oscillating Genesis Atmospheric Entry Capsule*
1:16 PM–1:29 PM
Presenter:
Ashraf Kassem
(Oklahoma State University-Stillwater)
Authors:
Ashraf Kassem
(Oklahoma State University-Stillwater)
Shafi Al-Salman Romeo
(Oklahoma State University-Stillwater)
Bipin Tiwari
(University of Tennessee-Knoxville)
Omer San
(University of Tennessee)
Kursat Kara
(Oklahoma State University)
Collaboration:
The authors extend their thanks to Dirk Ekelschot, Cole Kazemba, and Joseph Schulz for their invaluable contributions to the NASA ESI project.
This study employs Dynamic Mode Decomposition (DMD) to analyze the wake flow structures of a supersonic reentry vehicle with one degree of freedom motion at Mach 1.44.
Free-Flight CFD (FFCFD) data from the US3D solver is utilized to construct the DMD analysis data matrix. Our results identified two dominant modes in the wake: a high-amplitude, damped recompression wave mode, and a low-amplitude, undamped recirculation bubble near-wake mode. The more energetic recompression wave mode dominates, correlating with the observed damped oscillatory behavior of the vehicle at Mach 1.44.
These findings offer critical insights into the aerodynamic stability of atmospheric entry vehicles, informing design strategies to mitigate oscillatory instabilities and enhance mission safety.
*The authors gratefully acknowledge support through the NASA Early Stage Innovations (ESI) award under Grant Number 80NSSC23K0231.
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