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dc.contributor.advisorChen, Suren, 1973-
dc.contributor.authorWu, Jun
dc.contributor.committeememberVan de Lindt, John W.
dc.contributor.committeememberHeyliger, Paul Roy, 1958-
dc.contributor.committeememberSakurai, Hiroshi
dc.coverage.spatialUnited States
dc.date.accessioned2007-01-03T04:51:47Z
dc.date.available2007-01-03T04:51:47Z
dc.date.issued2010
dc.description2010 Fall.
dc.descriptionIncludes bibliographical references.
dc.description.abstractLong-span bridges generally serve as the significant hub in the transportation system for normal transportation and critical evacuation paths when any disaster happens. Thus, the safety and serviceability of long-span bridges are related to huge economic cost and safety of thousands of lives. The objective of this research is to establish a general framework to evaluate the lifetime performance of long-span bridges through taking account of more realistic load situations, such as traffic flow and wind environment. After some background information is introduced in Chapter 1, Chapter 2 covers the modeling of stochastic traffic flow for the bridge infrastructure system in a more realistic way by using the Cellular Automaton model. Based on the detailed information of individual vehicles of the stochastic traffic flow, the general framework to study Bridge/Traffic/Wind dynamic performance is developed in Chapter 3. Chapter 3 and Chapter 4 also report the results of the bridge's serviceability under normal and extreme loads events, respectively. In Chapter 5, the scenario-based fatigue model is further developed based on the dynamic framework developed in Chapter 3. Finally, the reliability-based analysis is conducted in Chapter 6 to study the fatigue damage caused by the coupling effects among bridge, traffic flow and wind throughout the bridge's service life.
dc.format.mediumborn digital
dc.format.mediumdoctoral dissertations
dc.identifierWu_colostate_0053A_10190.pdf
dc.identifierETDF2010100014CVEE
dc.identifier.urihttp://hdl.handle.net/10217/44880
dc.languageEnglish
dc.publisherColorado State University. Libraries
dc.relation.ispartof2000-2019 - CSU Theses and Dissertations
dc.rightsCopyright of the original work is retained by the author.
dc.subjectreliability
dc.subjectfatigue
dc.subjectequivalent dynamic wheel loading approach
dc.subjectcellular automaton traffic model
dc.subjectbridge/traffic/wind interaction
dc.subject.lcshLong-span bridges -- United States -- Testing
dc.subject.lcshLong-span bridges -- United States -- Design and construction
dc.subject.lcshLong-span bridges -- United States -- Reliability
dc.subject.lcshSafety factor in engineering
dc.subject.lcshStructural control (Engineering)
dc.titleReliability-based lifetime performance analysis of long-span bridges
dc.typeText
dcterms.rights.dplaThe copyright and related rights status of this Item has not been evaluated (https://rightsstatements.org/vocab/CNE/1.0/). Please refer to the organization that has made the Item available for more information.
thesis.degree.disciplineCivil and Environmental Engineering
thesis.degree.grantorColorado State University
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy (Ph.D.)


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