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dc.contributor.advisorFowler, Timothy Johnen
dc.contributor.advisorFowler, David W.en
dc.creatorAtivitavas, Naten
dc.date.accessioned2008-08-28T21:22:26Zen
dc.date.available2008-08-28T21:22:26Zen
dc.date.issued2002en
dc.identifierb56712455en
dc.identifier.urihttp://hdl.handle.net/2152/442en
dc.descriptiontexten
dc.description.abstractThe objective of the research program was to develop reliable pattern recognition and neural network analysis methods to determine the failure mechanism signatures in fiber reinforced plastic structures from acoustic emission (AE) data. The AE database was collected from a range of test specimens. Visual inspection and observation with a scanning electron microscope were performed to identify failure mechanisms in the specimens at various load levels. It was found that different types of specimen and structural loading yielded different types of failure. The failure mechanisms of interest were matrix cracking, debonding, delamination, and fiber breakage. Two method of analysis were used to determine the AE signatures. The first was visual AE pattern recognition. This analysis used a comparison of dissimilarities among AE correlation plots of data from different specimens. The results showed several AE signatures. The analysis also explains the correlation of material properties to failure mechanism evolution. The second analysis method was the use of neural networks to perform AE pattern recognition. The neural networks were trained using AE data in order to perform two tasks: determine the failure mechanisms and to assess the damage severity. The performance of the networks was found to be excellent for the first task and promising for the second task. The neural network was also applied to additional AE data from full-scale and coupon tests. By comparing the results from the network with visually observed damage, the network results are shown to be very reliable in determining failure mechanisms.
dc.format.mediumelectronicen
dc.language.isoengen
dc.rightsCopyright is held by the author. Presentation of this material on the Libraries' web site by University Libraries, The University of Texas at Austin was made possible under a limited license grant from the author who has retained all copyrights in the works.en
dc.subject.lcshFiber-reinforced plasticsen
dc.subject.lcshAcoustic emission testingen
dc.titleAcoustic emission signature analysis of failure mechanisms in fiber reinforced plastic structuresen
dc.description.departmentCivil, Architectural, and Environmental Engineeringen
dc.identifier.oclc55956285en
dc.identifier.proqst3108451en
dc.type.genreThesisen
thesis.degree.departmentCivil, Architectural, and Environmental Engineeringen
thesis.degree.disciplineCivil Engineeringen
thesis.degree.grantorThe University of Texas at Austinen
thesis.degree.levelDoctoralen
thesis.degree.nameDoctor of Philosophyen


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