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Optimal sensor placement in structural health monitoring (SHM) with a field application on a RC bridge


Please use this identifier to cite or link to this item: http://hdl.handle.net/1928/10274

Optimal sensor placement in structural health monitoring (SHM) with a field application on a RC bridge

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dc.contributor.author Azarbayejani, Mohammad
dc.date.accessioned 2010-02-09T20:14:48Z
dc.date.available 2010-02-09T20:14:48Z
dc.date.issued 2010-02-09T20:14:48Z
dc.date.submitted December 2009
dc.identifier.uri http://hdl.handle.net/1928/10274
dc.description.abstract Structural 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.iso en_US en_US
dc.subject Structural health monitoring en_US
dc.subject Sensor network en_US
dc.subject Finite element model en_US
dc.subject FPGA technology en_US
dc.subject Fuzzy sets en_US
dc.subject.lcsh Structural health monitoring--Statistical methods.
dc.subject.lcsh Wireless sensor networks--Design and construction--Statistical methods.
dc.subject.lcsh Field programmable gate arrays.
dc.subject.lcsh Entropy (Information theory)
dc.subject.lcsh Finite element method.
dc.subject.lcsh Fuzzy sets.
dc.subject.lcsh Concrete bridges--Testing.
dc.subject.lcsh Bridges--Inspection.
dc.subject.lcsh Reinforced concrete construction--Inspection.
dc.title Optimal sensor placement in structural health monitoring (SHM) with a field application on a RC bridge en_US
dc.type Dissertation en_US
dc.description.degree Civil Engineering en_US
dc.description.level Doctoral en_US
dc.description.department University of New Mexico. Dept. of Civil Engineering en_US
dc.description.advisor Taha, Mahmoud Reda
dc.description.committee-member Ross, Timothy
dc.description.committee-member El- Osery, Aly
dc.description.committee-member Al-Haik, Marwan
dc.description.committee-member Ansari, Farhad

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