Experimental Detection and Quantitative Interrogation of Damage in a Jointed Composite Structure

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dc.contributor.advisorWereley, Normanen_US
dc.contributor.authorGentzen, Vanessaen_US
dc.contributor.departmentAerospace Engineeringen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2008-08-07T05:31:17Z
dc.date.available2008-08-07T05:31:17Z
dc.date.issued2008-06-24en_US
dc.description.abstractThe aerospace field has concentrated substantial attention toward the development of structural health monitoring (SHM) systems for multidisciplinary applications. Research is motivated by catastrophic failures of operational systems which may have been avoided with the prior implementation of a successful damage prediction method. This research utilizes a smart sensor array to collect sensing information over a variety of damaged scenarios on a composite lap-joint assembly. Damage was implemented as bolt torque loss within the joint. A damage index was used as the key diagnostic feature to interrogate damage within the structure. Pattern recognition of the damage index, in addition to a rule-based, statistical discrimination method was employed to detect, localize and quantify damage due to bolt torque loss in the structure. The methodology accurately detected the presence of damage within the joint, localized the damage within the structures four quadrants, and assessed the level of torque loss.en_US
dc.format.extent7550282 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/8331
dc.language.isoen_US
dc.subject.pqcontrolledEngineering, Aerospaceen_US
dc.subject.pquncontrolleddamage detectionen_US
dc.subject.pquncontrolledbolted jointen_US
dc.subject.pquncontrolledcompositeen_US
dc.subject.pquncontrolledsmart sensor arrayen_US
dc.subject.pquncontrolledtorque lossen_US
dc.titleExperimental Detection and Quantitative Interrogation of Damage in a Jointed Composite Structureen_US
dc.typeThesisen_US

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