Reliability-based lifetime performance analysis of long-span bridges
dc.contributor.author | Wu, Jun, author | |
dc.contributor.author | Chen, Suren, 1973-, advisor | |
dc.contributor.author | Van de Lindt, John W., committee member | |
dc.contributor.author | Heyliger, Paul Roy, 1958-, committee member | |
dc.contributor.author | Sakurai, Hiroshi, committee member | |
dc.coverage.spatial | United States | |
dc.date.accessioned | 2007-01-03T04:51:47Z | |
dc.date.available | 2007-01-03T04:51:47Z | |
dc.date.issued | 2010 | |
dc.description.abstract | Long-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.medium | born digital | |
dc.format.medium | doctoral dissertations | |
dc.identifier | Wu_colostate_0053A_10190.pdf | |
dc.identifier | ETDF2010100014CVEE | |
dc.identifier.uri | http://hdl.handle.net/10217/44880 | |
dc.language | English | |
dc.language.iso | eng | |
dc.publisher | Colorado State University. Libraries | |
dc.relation.ispartof | 2000-2019 | |
dc.rights | Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. | |
dc.subject | reliability | |
dc.subject | fatigue | |
dc.subject | equivalent dynamic wheel loading approach | |
dc.subject | cellular automaton traffic model | |
dc.subject | bridge/traffic/wind interaction | |
dc.subject | Long-span bridges -- United States -- Testing | |
dc.subject | Long-span bridges -- United States -- Design and construction | |
dc.subject | Long-span bridges -- United States -- Reliability | |
dc.subject | Safety factor in engineering | |
dc.subject | Structural control (Engineering) | |
dc.title | Reliability-based lifetime performance analysis of long-span bridges | |
dc.type | Text | |
dcterms.rights.dpla | This Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). | |
thesis.degree.discipline | Civil and Environmental Engineering | |
thesis.degree.grantor | Colorado State University | |
thesis.degree.level | Doctoral | |
thesis.degree.name | Doctor of Philosophy (Ph.D.) |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- Wu_colostate_0053A_10190.pdf
- Size:
- 5.16 MB
- Format:
- Adobe Portable Document Format
- Description: