Damage Localization From Sensor and Actuator Data

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dc.contributor.advisor Dr. Kara J. Peters, Committee Chair en_US
dc.contributor.advisor Dr. Jeffrey W. Eischen, Committee Member en_US
dc.contributor.advisor Dr. F. G. Yuan, Committee Member en_US
dc.contributor.author Camerino, Michael Joseph en_US
dc.date.accessioned 2010-04-02T18:18:13Z
dc.date.available 2010-04-02T18:18:13Z
dc.date.issued 2004-01-27 en_US
dc.identifier.other etd-10282003-143823 en_US
dc.identifier.uri http://www.lib.ncsu.edu/resolver/1840.16/2862
dc.description.abstract Integrated sensor systems are becoming more prevalent in structures for the purpose of structural health monitoring (SHM). A limiting factor for many current SHM methods is that in order to locate damage, modeling of the structural response is required. The structural model can introduce significant errors, in addition to those in the sensor data, both through limitations in the mechanical models and manufacturing variations. This work presents a method of localizing damage that eliminates the requirement for an independent structural model. The method is based on generating flexibility parameters of the structure in pre- and post- damage states. In order to determine these parameters, a technique of loading the structure at each sensor location with actuators and subsequently measuring the displacement at all sensors has been developed. This allows the required information to be constructed from only sensor and actuator data. From the sensor data, a set of damage location vectors are determined. These vectors allow one to localize damage in one of two ways. The first analysis reapplies each set of damage location vectors as applied forces to the structure and locates the lowest regions of stress. The second approach, more applicable to real-time health monitoring, locates the lowest values of the damage location vectors. Both techniques have the ability to locate progressive damage. Simulations on a plate structure are performed for two sensor meshes (eight and thirty-two sensor locations). The results demonstrate excellent damage localization, and some indication of damage severity. Finally, an experimental demonstration of the method utilizing eight sensors surface mounted to an aluminum plate is presented for four applied damage cases. en_US
dc.rights I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to NC State University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. en_US
dc.subject Structural Health Monitoring en_US
dc.subject Damage Localization en_US
dc.subject Flexibility Method en_US
dc.subject Fiber Optic Displacement Sensors en_US
dc.title Damage Localization From Sensor and Actuator Data en_US
dc.degree.name MS en_US
dc.degree.level thesis en_US
dc.degree.discipline Mechanical Engineering en_US


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