Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/106584
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dc.contributorDepartment of Mechanical Engineering-
dc.creatorQiu, L-
dc.creatorLiu, B-
dc.creatorYuan, S-
dc.creatorSu, Z-
dc.date.accessioned2024-05-09T00:54:27Z-
dc.date.available2024-05-09T00:54:27Z-
dc.identifier.issn0041-624X-
dc.identifier.urihttp://hdl.handle.net/10397/106584-
dc.language.isoenen_US
dc.publisherElsevier BVen_US
dc.rights© 2015 Elsevier B.V. All rights reserved.en_US
dc.rights© 2015. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.en_US
dc.rightsThe following publication Qiu, L., Liu, B., Yuan, S., & Su, Z. (2016). Impact imaging of aircraft composite structure based on a model-independent spatial-wavenumber filter. Ultrasonics, 64, 10-24 is available at https://doi.org/10.1016/j.ultras.2015.07.006.en_US
dc.subjectComposite structureen_US
dc.subjectImpact imagingen_US
dc.subjectLamb waveen_US
dc.subjectLinear piezoelectric sensor arrayen_US
dc.subjectSpatial-wavenumber filteren_US
dc.titleImpact imaging of aircraft composite structure based on a model-independent spatial-wavenumber filteren_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage10-
dc.identifier.epage24-
dc.identifier.volume64-
dc.identifier.doi10.1016/j.ultras.2015.07.006-
dcterms.abstractThe spatial-wavenumber filtering technique is an effective approach to distinguish the propagating direction and wave mode of Lamb wave in spatial-wavenumber domain. Therefore, it has been gradually studied for damage evaluation in recent years. But for on-line impact monitoring in practical application, the main problem is how to realize the spatial-wavenumber filtering of impact signal when the wavenumber of high spatial resolution cannot be measured or the accurate wavenumber curve cannot be modeled. In this paper, a new model-independent spatial-wavenumber filter based impact imaging method is proposed. In this method, a 2D cross-shaped array constructed by two linear piezoelectric (PZT) sensor arrays is used to acquire impact signal on-line. The continuous complex Shannon wavelet transform is adopted to extract the frequency narrowband signals from the frequency wideband impact response signals of the PZT sensors. A model-independent spatial-wavenumber filter is designed based on the spatial-wavenumber filtering technique. Based on the designed filter, a wavenumber searching and best match mechanism is proposed to implement the spatial-wavenumber filtering of the frequency narrowband signals without modeling, which can be used to obtain a wavenumber-time image of the impact relative to a linear PZT sensor array. By using the two wavenumber-time images of the 2D cross-shaped array, the impact direction can be estimated without blind angle. The impact distance relative to the 2D cross-shaped array can be calculated by using the difference of time-of-flight between the frequency narrowband signals of two different central frequencies and the corresponding group velocities. The validations performed on a carbon fiber composite laminate plate and an aircraft composite oil tank show a good impact localization accuracy of the model-independent spatial-wavenumber filter based impact imaging method.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationUltrasonics, Jan. 2016, v. 64, p. 10-24-
dcterms.isPartOfUltrasonics-
dcterms.issued2016-01-
dc.identifier.scopus2-s2.0-84942553237-
dc.identifier.eissn1874-9968-
dc.description.validate202405 bcch-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberME-1079en_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Science Fund for Distinguished Young Scholars; Natural Science Foundation of China; Chinese Foundation of Postdoctoral Science; Doctoral Program of Higher Educations in China; State Key Laboratory of Mechanics and Control of Mechanical Structures; Priority Academic Program Development of Jiangsu Higher Education Institutions; Qing Lan Projecten_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6582098en_US
dc.description.oaCategoryGreen (AAM)en_US
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