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dc.contributor.advisorBernhardt, Kristen Sanfordeng
dc.contributor.authorDeshmukh, Pritameng
dc.date.issued2006eng
dc.date.submitted2006 Summereng
dc.descriptionThe entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file.eng
dc.descriptionTitle from title screen of research.pdf file viewed on (May 20, 2007)eng
dc.descriptionIncludes bibliographical references.eng
dc.descriptionVita.eng
dc.descriptionThesis (M.S.) University of Missouri-Columbia 2006.eng
dc.descriptionDissertations, Academic -- University of Missouri--Columbia -- Civil engineering.eng
dc.description.abstractThe effectiveness of bridge management decisions is based on the quality of data, and the data collected has some amount of uncertainty, which may impact management decisions. This document describes a two-part procedure that has been developed for measuring the level of uncertainty in bridge condition assessment data. In the first part of the procedure, a bridge deterioration model (using Pontis Software) was used to estimate the future condition of a bridge. In the second part of the procedure, reliability theory was applied to estimate the structural reliability of the bridge. The structural reliability of the bridge components was estimated on the basis of load carrying capacity (resistance of the structure) and the actual loads present on the structure. The results from reliability model and deterioration model were compared and based on the variations between the results, an uncertainty scale was produced which quantified data uncertainty.eng
dc.identifier.merlinb58539396eng
dc.identifier.urihttp://hdl.handle.net/10355/4510
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.relation.ispartofcollectionUniversity of Missouri--Columbia. Graduate School. Theses and Dissertationseng
dc.subject.lcshBridges -- Management -- Data processingeng
dc.subject.lcshBridges -- Maintenance and repair -- Data processingeng
dc.titleData uncertainty in bridge managementeng
dc.typeThesiseng
thesis.degree.disciplineCivil engineering (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelMasterseng
thesis.degree.nameM.S.eng


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