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Thermal Inspection of a Composite Fuselage Section Using theMethod of Proper Generalized DecompositionProper Generalized Decomposition (PGD) is a reduced order modeling technique for the simulation of physical systems whose governing equations depend on boundary conditions, initial conditions, material properties, and geometric parameters. It uses separated representations of system covariates combined with an iterative approximation method known as successive enrichment in order to compute an accurate parameter-dependent approximation to the full governing equations. PGD can also be used as an alternative to the Singular Value Decomposition (SVD) of a matrix and therefore as an alternative to PCA thermography. In this paper PGD was used to analyze data derived from the inspection of a composite fuselage forward section using flash thermography, and the results were compared against the standard PCA approach.
Document ID
20210020841
Acquisition Source
Langley Research Center
Document Type
Conference Paper
Authors
Peter Spaeth
(Langley Research Center Hampton, Virginia, United States)
Peter Takunju
(Langley Research Center Hampton, Virginia, United States)
Joseph N Zalameda
(Langley Research Center Hampton, Virginia, United States)
Date Acquired
August 24, 2021
Publication Date
October 5, 2021
Publication Information
Publication: The 13th International Symposium on NDT in Aerospace 2021
Publisher: NDT in Aerospace
Subject Category
Composite Materials
Meeting Information
Meeting: The 13th International Symposium on NDT in Aerospace 2021
Location: Williamsburg, VA
Country: US
Start Date: October 5, 2021
End Date: October 7, 2021
Sponsors: ARCTOS
Funding Number(s)
WBS: 109492.02.07.09.02
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Technical Review
NASA Peer Committee
Keywords
Nondestructive Evaluation
NDE
composite fuselage
water intrusion damage
delamination
composite sandwich structure
proper generalized decomposition
principal component analysis
Implicitly Restarted Arnoldi Method
PGD
PCA
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