Advancing Autonomous Structural Health Monitoring

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dc.contributor.authorGrisso, Benjamin Lukeen
dc.contributor.committeechairInman, Daniel J.en
dc.contributor.committeememberGoulbourne, Nakhiah C.en
dc.contributor.committeememberHa, Dong Samen
dc.contributor.committeememberLeo, Donald J.en
dc.contributor.committeememberPark, Gyuhaeen
dc.contributor.committeememberSodano, Henry A.en
dc.contributor.departmentMechanical Engineeringen
dc.date.accessioned2014-03-14T20:19:53Zen
dc.date.adate2008-01-12en
dc.date.available2014-03-14T20:19:53Zen
dc.date.issued2007-11-27en
dc.date.rdate2008-01-12en
dc.date.sdate2007-12-06en
dc.description.abstractThe focus of this dissertation is aimed at advancing autonomous structural health monitoring. All the research is based on developing the impedance method for monitoring structural health. The impedance technique utilizes piezoelectric patches to interrogate structures of interested with high frequency excitations. These patches are bonded directly to the structure, so information about the health of the structure can be seen in the electrical impedance of the piezoelectric patch. However, traditional impedance techniques require the use of a bulky and expensive impedance analyzer. Research presented here describes efforts to miniaturize the hardware necessary for damage detection. A prototype impedance-based structural health monitoring system, incorporating wireless based communications, is fabricated and validated with experimental testing. The first steps towards a completely autonomous structural health monitoring sensor are also presented. Power harvesting from ambient energy allows a prototype to be operable from a rechargeable power source. Aerospace vehicles are equipped with thermal protection systems to isolate internal components from harsh reentry conditions. While the thermal protection systems are critical to the safety of the vehicle, finding damage in these structures presents a unique challenge. Impedance techniques will be used to detect the standard damage mechanism for one type of thermal protection system. The sensitivity of the impedance method at elevated temperatures is also investigated. Sensors are often affixed to structures as a means of identifying structural defects. However, these sensors are susceptible to damage themselves. Sensor diagnostics is a field of study directed at identifying faulty sensors. The influence of temperature on these techniques is largely unstudied. In this dissertation, a model is generated to identify damaged sensors at any temperature. A sensor diagnostics method is also adapted for use in developed hardware. The prototype used is completely digital, so standard sensor diagnostics techniques are inapplicable. A new method is developed to work with the digital hardware.en
dc.description.degreePh. D.en
dc.identifier.otheretd-12062007-105329en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-12062007-105329/en
dc.identifier.urihttp://hdl.handle.net/10919/29960en
dc.publisherVirginia Techen
dc.relation.haspartGrisso_Dissertation_Final.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectSensor Diagnosticsen
dc.subjectThermal Protection Systemsen
dc.subjectAutonomous Structural Health Monitoringen
dc.subjectWireless SHMen
dc.subjectImpedance Methoden
dc.titleAdvancing Autonomous Structural Health Monitoringen
dc.typeDissertationen
thesis.degree.disciplineMechanical Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.namePh. D.en

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