{"id":{"repo_id":"embry-riddle","oai_identifier":"oai:commons.erau.edu:db-theses-1148"},"canonical_url":"https://search.dev.ndltd.org/etd/embry-riddle/oai:commons.erau.edu:db-theses-1148","repository":{"repo_id":"embry-riddle","name":"Embry Riddle Aeronautical University","base_url":"https://commons.erau.edu/do/oai/"},"display":{"title":"Isolating Failure Mechanisms in a Fiberglass/Epoxy Tensile Test Specimen Using Acoustic Emission Signal Parameters","abstract":"<p>This study used acoustic emission (AE) signal parameters to isolate the failure mechanisms in a 0° unidirectional, fiberglass/epoxy tensile test specimen. Since several failure mechanisms were known to be present, the lack of any distinctly identifiable bands in the original amplitude distribution indicated that there was considerable overlap between the AE signals of the various failure mechanisms. In order to separate the amplitude bands associated with each mechanism, it was necessary to sort on the duration of the AE signal. Two additional plots, counts versus amplitude and hits versus counts, were used to verify that the amplitude distributions were comprised of a single predominant mechanism. A total of seven failure mechanisms were isolated from the original data set, all but two having a shape similar to that of a normal distribution.</p>","abstract_html":"&lt;p&gt;This study used acoustic emission (AE) signal parameters to isolate the failure mechanisms in a 0° unidirectional, fiberglass/epoxy tensile test specimen. Since several failure mechanisms were known to be present, the lack of any distinctly identifiable bands in the original amplitude distribution indicated that there was considerable overlap between the AE signals of the various failure mechanisms. In order to separate the amplitude bands associated with each mechanism, it was necessary to sort on the duration of the AE signal. Two additional plots, counts versus amplitude and hits versus counts, were used to verify that the amplitude distributions were comprised of a single predominant mechanism. A total of seven failure mechanisms were isolated from the original data set, all but two having a shape similar to that of a normal distribution.&lt;/p&gt;","abstract_has_math":false,"creators":["Kouvarakos, Michael"],"institution":null,"degree_name":"Master of Science in Aerospace Engineering","degree_level":"Thesis - Open Access","degree_discipline":"Graduate Studies","degree_department":null,"school":null,"contributors":["Eric v. K. Hill","David Kim","James L. Walker II"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":1992,"date_issued":"1992-12-01T08:00:00Z","date_published":"1992-12-01T08:00:00Z","updated_at":"2026-07-27T19:25:16Z","subjects":["acoustic emission","signal parameters","fiberglass/epoxy","Aerospace Engineering"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://commons.erau.edu/db-theses/267","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Eric v. K. Hill","David Kim","James L. 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Since several failure mechanisms were known to be present, the lack of any distinctly identifiable bands in the original amplitude distribution indicated that there was considerable overlap between the AE signals of the various failure mechanisms. In order to separate the amplitude bands associated with each mechanism, it was necessary to sort on the duration of the AE signal. Two additional plots, counts versus amplitude and hits versus counts, were used to verify that the amplitude distributions were comprised of a single predominant mechanism. A total of seven failure mechanisms were isolated from the original data set, all but two having a shape similar to that of a normal distribution.</p>"]},{"key":"dc:title","label":"Title","values":["Isolating Failure Mechanisms in a Fiberglass/Epoxy Tensile Test Specimen Using Acoustic Emission Signal Parameters"]}]}],"canonical_facts":{"dc:contributor":["Eric v. K. Hill","David Kim","James L. Walker II"],"dc:creator":["Kouvarakos, Michael"],"dc:description.abstract":["<p>This study used acoustic emission (AE) signal parameters to isolate the failure mechanisms in a 0° unidirectional, fiberglass/epoxy tensile test specimen. Since several failure mechanisms were known to be present, the lack of any distinctly identifiable bands in the original amplitude distribution indicated that there was considerable overlap between the AE signals of the various failure mechanisms. In order to separate the amplitude bands associated with each mechanism, it was necessary to sort on the duration of the AE signal. Two additional plots, counts versus amplitude and hits versus counts, were used to verify that the amplitude distributions were comprised of a single predominant mechanism. A total of seven failure mechanisms were isolated from the original data set, all but two having a shape similar to that of a normal distribution.</p>"],"dc:identifier":["https://commons.erau.edu/db-theses/267"],"dc:subject":["acoustic emission","signal parameters","fiberglass/epoxy","Aerospace Engineering"],"dc:title":["Isolating Failure Mechanisms in a Fiberglass/Epoxy Tensile Test Specimen Using Acoustic Emission Signal Parameters"],"thesis:degree_discipline":["Graduate Studies"],"thesis:degree_level":["Thesis - Open Access"],"thesis:degree_name":["Master of Science in Aerospace Engineering"]},"updated_at":"2026-07-27T19:25:16Z"}