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dc.contributor.authorAzarbayejani, Mohammad
dc.date.accessioned2010-02-09T20:14:48Z
dc.date.available2010-02-09T20:14:48Z
dc.date.issued2010-02-09T20:14:48Z
dc.date.submittedDecember 2009
dc.identifier.urihttp://hdl.handle.net/1928/10274
dc.description.abstractStructural health monitoring (SHM) is a research field that targets detecting and locating damage in structures. The main objective of SHM is to detect damage at its onset and inform authorities about the type, nature and location of the damage in the structure. Successful SHM requires deploying optimal sensor networks. We present a probabilistic approach to identify optimal location of sensors based on a priori knowledge on damage locations while considering the need for redundancy in sensor networks. The optimal number of sensors is identified using a multi-objective optimization approach incorporating information entropy and cost of the sensor network. As the size of the structure grows, the advantage of the optimal sensor network in damage detection becomes obvious. We also present an innovative field application of SHM using Field Programmable Gate Array (FPGA) and wireless communication technologies. The new SHM system was installed to monitor a reinforced concrete (RC) bridge on interstate I-40 in Tucumcari, New Mexico. The new monitoring system is powered with renewable solar energy. The integration of FPGA and photovoltaic technologies make it possible to remotely monitor infrastructure with limited access to power. Using calibrated finite element (FE) model of the bridge with real data collected from the sensors installed on the bridge, we establish fuzzy sets describing different damage states of the bridge. Unknown states of the bridge performance are then identified using degree of similarity between these fuzzy sets. The proposed SHM system will reduce human intervention significantly and can save millions of dollars currently spent on prescheduled inspection by enabling performance based monitoring.en_US
dc.language.isoen_USen_US
dc.subjectStructural health monitoringen_US
dc.subjectSensor networken_US
dc.subjectFinite element modelen_US
dc.subjectFPGA technologyen_US
dc.subjectFuzzy setsen_US
dc.subject.lcshStructural health monitoring--Statistical methods.
dc.subject.lcshWireless sensor networks--Design and construction--Statistical methods.
dc.subject.lcshField programmable gate arrays.
dc.subject.lcshEntropy (Information theory)
dc.subject.lcshFinite element method.
dc.subject.lcshFuzzy sets.
dc.subject.lcshConcrete bridges--Testing.
dc.subject.lcshBridges--Inspection.
dc.subject.lcshReinforced concrete construction--Inspection.
dc.titleOptimal sensor placement in structural health monitoring (SHM) with a field application on a RC bridgeen_US
dc.typeDissertationen_US
dc.description.degreeCivil Engineeringen_US
dc.description.levelDoctoralen_US
dc.description.departmentUniversity of New Mexico. Dept. of Civil Engineeringen_US
dc.description.advisorTaha, Mahmoud Reda
dc.description.committee-memberRoss, Timothy
dc.description.committee-memberEl- Osery, Aly
dc.description.committee-memberAl-Haik, Marwan
dc.description.committee-memberAnsari, Farhad


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