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dc.contributor.authorAltammar, Hussain
dc.contributor.authorSalowitz, Nathan
dc.date.accessioned2022-02-05T21:51:04Z
dc.date.available2022-02-05T21:51:04Z
dc.date.copyright4/2/2021 12:00:00 AM
dc.date.issued2021
dc.identifier.issn2572-3901
dc.identifier.othernde_4_3_031007.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4276458
dc.description.abstractUltrasonic structural health monitoring (SHM), employing embedded piezoelectric elements to actuate and sense ultrasonic waves, has greatly advanced in recent years. This paper presents a novel approach to address the prevailing challenges in the inspection of laminated structures for delamination using shear-mode (d15) piezoelectric transducers, composed of lead zirconate titanate (PZT). To experimentally evaluate the effectiveness of the proposed approach, a beam-like laminated specimen consisting of internally embedded d15 square PZTs was fabricated with simulated delamination at the interface of an adhesive joint. The evaluation of the results showed that the location of shear-mode actuators is a critical factor to detect delamination and to predict the propagation path of delamination. Delamination initiated close to actuators is more likely to be detected owing to their remarkable sensitivity of structural stiffness surrounding their region. The antisymmetric A0 wave mode generated by these actuators exhibits high interaction with damage, suggesting internally embedded d15 PZTs are a viable approach that can potentially advance the inspection tools of ultrasonic SHM.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleUltrasonic Structural Health Monitoring Approach to Predict Delamination in a Laminated Beam Using d15 Piezoelectric Sensors
dc.typeJournal Paper
dc.journal.volume4
dc.journal.issue3
dc.journal.titleJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
dc.identifier.doi10.1115/1.4050521
dc.journal.fristpage031007-1
dc.journal.lastpage031007-9
dc.page9
dc.treeJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2021:;volume( 004 ):;issue: 003
dc.contenttypeFulltext


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