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Noise-robust modal parameter identification and damage assessment for aero-structures

Dessena, Gabriele; Civera, Marco; Pontillo, Alessandro; Ignatyev, Dmitry I.; Whidborne, James F.; Zanotti Fragonara, Luca

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Authors

Gabriele Dessena

Marco Civera

Dmitry I. Ignatyev

James F. Whidborne

Luca Zanotti Fragonara



Abstract

Purpose
Ground vibration testing is critical for aircraft design and certification. Fast relaxed vector fitting (FRVF) and Loewner framework (LF), recently extended to modal parameter extraction in mechanical systems to address the computational challenges of time and frequency domain techniques, are applied for damage detection on aeronautically relevant structures.

Design/methodology/approach
FRVF and LF are applied to numerical datasets to assess noise robustness and performance for damage detection. Computational efficiency is also evaluated. In addition, they are applied to a novel damage detection benchmark of a high aspect ratio wing, comparing their performance with the state-of-the-art method N4SID.

Findings
FRVF and LF detect structural changes effectively; LF exhibits better noise robustness, while FRVF is more computationally efficient.

Practical implications
LF is recommended for noisy measurements.

Originality/value
To the best of the authors’ knowledge, this is the first study in which the LF and FRVF are applied for the extraction of the modal parameters in aeronautically relevant structures. In addition, a novel damage detection benchmark of a high-aspect-ratio wing is introduced.

Journal Article Type Article
Acceptance Date Aug 27, 2024
Online Publication Date Oct 1, 2024
Publication Date Oct 1, 2024
Deposit Date Oct 1, 2024
Publicly Available Date Oct 1, 2024
Journal Aircraft Engineering and Aerospace Technology
Print ISSN 1748-8842
Electronic ISSN 1758-4213
Publisher Emerald
Peer Reviewed Peer Reviewed
Volume 96
Issue 11
Pages 27-36
DOI https://doi.org/10.1108/aeat-06-2024-0178
Public URL https://uwe-repository.worktribe.com/output/13225742

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