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dc.contributor.authorZhang, Mingyue
dc.contributor.authorGalvis, Luis Waldo Escalona
dc.contributor.authorSpada, Antonino
dc.contributor.authorCapriotti, Margherita
dc.date.accessioned2024-12-24T19:15:04Z
dc.date.available2024-12-24T19:15:04Z
dc.date.copyright4/8/2024 12:00:00 AM
dc.date.issued2024
dc.identifier.issn2572-3901
dc.identifier.othernde_7_3_031001.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4303584
dc.description.abstractThe nondestructive characterization and monitoring of defects in composite structures by ultrasonic guided waves are hindered by the complexity of the interaction. Efficient computational modeling of propagating ultrasonic guided waves in waveguides with discontinuities is necessary to properly tune inspections and correctly interpret the scattering behavior. This paper studies the influence of different defect types in composite plates on ultrasonic guided wave scattering. Employing a hybrid global–local method, the energy spectra of transmitted and reflected waves in defected composite plates are numerically analyzed over a broad frequency range. Through parametric analyses of defect dimensions and locations, the resulting trends of the effect of specific defect features on the scattering behavior, as well as the importance of observing scattering on a broad frequency range, are accurately computed and highlighted. The presented findings indicate the potential for effective defect characterization and monitoring.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleUltrasonic Guided Wave Scattering Spectra by Hybrid Global–Local Modeling for Nondestructive Evaluation in Composites With Varying Defect Features
dc.typeJournal Paper
dc.journal.volume7
dc.journal.issue3
dc.journal.titleJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
dc.identifier.doi10.1115/1.4065152
dc.journal.fristpage31001-1
dc.journal.lastpage31001-9
dc.page9
dc.treeJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2024:;volume( 007 ):;issue: 003
dc.contenttypeFulltext


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