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

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dc.contributor.authorDessena, Gabriele
dc.contributor.authorCivera, Marco
dc.contributor.authorPontillo, Alessandro
dc.contributor.authorIgnatyev, Dmitry I.
dc.contributor.authorWhidborne, James F.
dc.contributor.authorZanotti Fragonara, Luca
dc.date.accessioned2025-03-12T11:00:44Z
dc.date.available2025-03-12T11:00:44Z
dc.date.freetoread2025-03-12
dc.date.issued2024-12-16
dc.date.pubOnline2024-10-01
dc.description.abstractPurpose 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.
dc.description.journalNameAircraft Engineering and Aerospace Technology
dc.description.sponsorshipThis work was supported by the Engineering and Physical Sciences Research Council (EPSRC) (grant number 2277626).
dc.format.extentpp. 27-36
dc.identifier.citationDessena G, Civera M, Pontillo A, et al., (2024) Noise-robust modal parameter identification and damage assessment for aero-structures. Aircraft Engineering and Aerospace Technology, Volume 96, Issue 11, December 2024, pp. 27-36
dc.identifier.eissn1748-8842
dc.identifier.elementsID554876
dc.identifier.issn1748-8842
dc.identifier.issueNo11
dc.identifier.urihttps://doi.org/10.1108/aeat-06-2024-0178
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/23572
dc.identifier.volumeNo96
dc.languageEnglish
dc.language.isoen
dc.publisherEmerald
dc.publisher.urihttps://www.emerald.com/insight/content/doi/10.1108/aeat-06-2024-0178/full/html
dc.relation.isreferencedbyhttps://doi.org/10.5281/zenodo.11635814
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectModal analysis
dc.subjectGround vibration testing
dc.subjectModal parameters
dc.subjectLoewner framework
dc.subjectFast relaxed vector fitting
dc.subjectFrequency domain
dc.subjectNoise
dc.subjectDamage detection
dc.subjectStructural health monitoring
dc.subjectAeronautical structures
dc.subjectAerospace structures
dc.subjectHigh aspect ratio wings
dc.subject46 Information and Computing Sciences
dc.subject40 Engineering
dc.subject4001 Aerospace Engineering
dc.subject4001 Aerospace engineering
dc.subject4017 Mechanical engineering
dc.titleNoise-robust modal parameter identification and damage assessment for aero-structures
dc.typeArticle
dc.type.subtypeJournal Article
dcterms.dateAccepted2024-08-27

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