Title:
A Reduced Order Modeling Approach to Blunt-Body Aerodynamic Modeling

dc.contributor.author Dean, Hayden V.
dc.contributor.author Decker, Kenneth
dc.contributor.author Robertson, Bradford E.
dc.contributor.author Mavris, Dimitri N.
dc.contributor.corporatename Georgia Institute of Technology. Aerospace Systems Design Laboratory
dc.contributor.corporatename American Institute of Aeronautics and Astronautics
dc.date.accessioned 2024-01-19T16:27:53Z
dc.date.available 2024-01-19T16:27:53Z
dc.date.issued 2024-01
dc.description Presented at AIAA SciTech Forum 2024
dc.description.abstract Blunt-body entry vehicles display complex flow phenomena that results in dynamic instabilities in the low supersonic to transonic flight regime. Dynamic stability coefficients are typically calculated through parameter identification and trajectory regression techniques using both physical test data and Computational Fluid Dynamics (CFD) simulations. This methodology can generate dynamic stability coefficients, but the resulting data points are limited, and have high degrees of uncertainty due to the nature of data reduction methods. With increased computational capabilities, new methods for dynamic stability quantification have been explored that seek to leverage the high-dimensional aerodynamic data produced from CFD simulations to compute dynamic stability behavior and address the limitations of linearized aerodynamics. The objective of this work is to advance the quantification of dynamic stability behavior of blunt-body entry vehicles by leveraging high-fidelity CFD data through Reduced Order Modeling (ROM). ROMs are capable of leveraging high-fidelity aerodynamic data in a cost effective manner by finding a low-dimensional representation of the Full Order Model (FOM). ROMs based on Proper Orthogonal Decomposition (POD) have shown success in recreating CFD analyses of parametric ROM applications and time-varying ROM applications. Results of this research demonstrated success in constructing two ROMs of a notional blunt-body entry vehicle to recreate heatshield and backshell pressure distributions from forced oscillation trajectories. The ROM was more successful at reconstructing the heatshield pressure distribution, with challenges arising in predicting the chaotic response of backshell latent coordinates.
dc.description.sponsorship NASA Early Stage Innovation grant 80NSSC23K0229
dc.identifier.citation Dean, H. V., Decker, K., Robertson, B. E., Mavris, D. N. "A Reduced Order Modeling Approach to Blunt-Body Aerodynamic Modeling". AIAA SciTech Forum. 2024. DOI: https://doi.org/10.2514/6.2024-1914
dc.identifier.doi https://doi.org/10.2514/6.2024-1914
dc.identifier.uri https://hdl.handle.net/1853/73241
dc.publisher Georgia Institute of Technology
dc.publisher.original American Institute of Aeronautics and Astronautics (AIAA)
dc.rights.metadata https://creativecommons.org/publicdomain/zero/1.0/
dc.subject Reduced Order Models
dc.subject Entry capsule
dc.subject Entry vehicle
dc.subject EDL
dc.subject Genesis
dc.subject POD
dc.subject Kriging
dc.title A Reduced Order Modeling Approach to Blunt-Body Aerodynamic Modeling
dc.type Text
dc.type.genre Post-print
dspace.entity.type Publication
local.contributor.author Robertson, Bradford E.
local.contributor.author Mavris, Dimitri N.
local.contributor.corporatename College of Engineering
local.contributor.corporatename Aerospace Systems Design Laboratory (ASDL)
local.contributor.corporatename Daniel Guggenheim School of Aerospace Engineering
relation.isAuthorOfPublication 5b6f8ba0-a154-4238-b4c0-6b365b0bc20b
relation.isAuthorOfPublication d355c865-c3df-4bfe-8328-24541ea04f62
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
relation.isOrgUnitOfPublication a8736075-ffb0-4c28-aa40-2160181ead8c
relation.isOrgUnitOfPublication a348b767-ea7e-4789-af1f-1f1d5925fb65
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Dean_SciTech2024_ROM.pdf
Size:
8.43 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
3.13 KB
Format:
Item-specific license agreed upon to submission
Description: