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dc.contributor.advisorOtero, Luis Daniel
dc.contributor.authorSantos De Oliveira, Jefferson
dc.date.accessioned2016-09-23T20:15:54Z
dc.date.available2016-09-23T20:15:54Z
dc.date.issued2016-08-24
dc.identifier.urihttp://hdl.handle.net/11141/1060
dc.descriptionThesis (M.S.) - Florida Institute of Technology, 2016.en_US
dc.description.abstractStructural health monitoring (SHM) systems have become important tools in the transportation industry to help monitor the behavior and health of civil structures. Today, there is a real concern about the health of bridges because these structures are aging, and various failure events have contributed to increase that concern. Consequently, the topic of improving the effectiveness and appropriate use of SHM systems have become the focus of various government agencies and researchers, both in industry and academia. In this context, this thesis work was developed to understand the general components of bridge SHM systems, and present a methodology to help decision-makers prioritize a set of sensors to be selected for a particular SHM system to satisfy specific mission objectives. This thesis presents a value based approach to prioritize sensors, developing concepts of qualitative value model, quantitative value model, and the swing weight matrix method to yield a ranked list of sensor alternatives to choose from in order to build an SHM system for bridge inspection purposes. Sensitive analyses were also conducted to evaluate the robustness of the methodology presented in the thesis.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.rightsCC BY Creative Commons Attribution-Noncommericalen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/en_US
dc.titleValue Based Methodology to Evaluate Sensors for Bridge Structural Health Monitoring Systemsen_US
dc.typeThesisen_US
dc.date.updated2016-08-29T14:09:31Z
thesis.degree.nameMaster of Science in Systems Engineeringen_US
thesis.degree.levelMastersen_US
thesis.degree.disciplineSystems Engineeringen_US
thesis.degree.departmentEngineering Systemsen_US
thesis.degree.grantorFlorida Institute of Technologyen_US
dc.type.materialtext


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