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Comparison of load rating methods for complex bridges
Descriptive
TitleInfo
Title
Comparison of load rating methods for complex bridges
Name
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Strafaci
NamePart
(type = given)
Joseph R.
NamePart
(type = date)
1987-
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Joseph R. Strafaci
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author
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Hani
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Hani Nassif
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Advisory Committee
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chair
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Yong
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Yook-Kong
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Yook-Kong Yong
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Advisory Committee
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internal member
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WANG
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HAO
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HAO WANG
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Advisory Committee
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internal member
Name
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(type = family)
Tsakalakos
NamePart
(type = given)
Thomas
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Thomas Tsakalakos
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Advisory Committee
Role
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(authority = RULIB)
outside member
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Rutgers University
Role
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degree grantor
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School of Graduate Studies
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school
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Text
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theses
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2020
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2020-05
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2020
Language
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English
Abstract
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With the lack of funding to address all infrastructure needs, highway agencies are faced with prioritizing their greatest infrastructure needs. This especially holds true for complex structures, which as defined by the 2018 AASHTO Manual for Bridge Evaluation include movable, suspension, cable stayed, or other unusual characteristic not found in common structures These bridges usually provide access for a great number of users and come with a high cost of replacement.
The purpose of this project was to perform a comparison of load rating methods for Complex Bridges. Focus was placed on the current Load Factor Resistance Rating and Load Factor Rating methodology. This study utilizes a movable bridge as a form of comparative evaluation. The bridge was selected due to its age, complexity, and condition.
To assist in this comparison, analysis by field testing, and a refined method of analysis was utilized in the form of finite element modeling. Additionally, weigh-in-motion sensors were installed at the selected bridge to understand daily truck traffic, identify maximum loading scenarios, and develop a site-specific live load factor.
Based on the analysis performed, it was concluded that the LRFR method is the preferred method when compared to the LFR Method. Given the current code provisions, when compared against each other, the LRFR not only provides the most ideal rating factor, but also provides a clearer picture of how members are being affect by subject loads.
Additionally, based off the comparison performed and results obtained, this project developed a proposed guide for inclusion into the MBE for the evaluation of complex structures. Additionally, based on the analysis performed guidance regarding repaired members, and prediction models was also proposed.
The purpose of this project was to perform a comparison of load rating methods for Complex Bridges. Focus was placed on the current Load Factor Resistance Rating and Load Factor Rating methodology. This study utilizes a movable bridge as a form of comparative evaluation. The bridge was selected due to its age, complexity, and condition.
To assist in this comparison, analysis by field testing, and a refined method of analysis was utilized in the form of finite element modeling. Additionally, weigh-in-motion sensors were installed at the selected bridge to understand daily truck traffic, identify maximum loading scenarios, and develop a site-specific live load factor.
Based on the analysis performed, it was concluded that the LRFR method is the preferred method when compared to the LFR Method. Given the current code provisions, when compared against each other, the LRFR not only provides the most ideal rating factor, but also provides a clearer picture of how members are being affect by subject loads.
Additionally, based off the comparison performed and results obtained, this project developed a proposed guide for inclusion into the MBE for the evaluation of complex structures. Additionally, based on the analysis performed guidance regarding repaired members, and prediction models was also proposed.
Subject
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Topic
Complex bridges
Subject
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Topic
Bridges -- Live loads -- Measurement
Subject
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Topic
Civil and Environmental Engineering
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Rutgers University Electronic Theses and Dissertations
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ETD_10896
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1 online resource (xv, 215 pages) : illustrations
Note
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Ph.D.
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Includes bibliographical references
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School of Graduate Studies Electronic Theses and Dissertations
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rucore10001600001
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Identifier
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doi:10.7282/t3-k1fb-9p38
Genre
(authority = ExL-Esploro)
ETD doctoral
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Rights
RightsDeclaration
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The author owns the copyright to this work.
RightsHolder
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Name
FamilyName
Strafaci
GivenName
Joseph
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime
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2020-04-30 10:44:56
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Name
Joseph Strafaci
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Copyright holder
Affiliation
Rutgers University. School of Graduate Studies
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Author Agreement License
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I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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2020-05-31
DateTime
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2022-05-31
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after May 31st, 2022.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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