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Reliability-based assessment of load and resistance factor rating for specialized hauling vehicles

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Title
Reliability-based assessment of load and resistance factor rating for specialized hauling vehicles
Name (type = personal)
NamePart (type = family)
Gao
NamePart (type = given)
Dongjian
NamePart (type = date)
1993-
DisplayForm
Dongjian Gao
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Nassif
NamePart (type = given)
Hani
DisplayForm
Hani Nassif
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
chair
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
School of Graduate Studies
Role
RoleTerm (authority = RULIB)
school
TypeOfResource
Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (encoding = w3cdtf); (keyDate = yes); (qualifier = exact)
2019
DateOther (qualifier = exact); (type = degree)
2019-05
CopyrightDate (encoding = w3cdtf); (qualifier = exact)
2019
Language
LanguageTerm (authority = ISO 639-3:2007); (type = text)
English
Abstract (type = abstract)
Specialized Hauling Vehicles (SHVs) are defined as short heavy trucks within the legal weight limits but induce higher load effects than routine commercial load models.
This thesis is consisted of three major parts, 1) investigation of the population, various truck characteristics of SHV traffic fleet and multiple-presence events based on available Weigh-In-Motion (WIM) data, 2) development of statistical models of SHVs for both one-lane and two-lane loading cases, and 3) assessment of live load factors for SHVs for LRFR Strength I Limit State.
The first part focuses on processing WIM data. The algorithm for data processing and the WIM database is presented first. The database consists of two sets of data: 1) data from New Jersey, and 2) data from another 21 states across the United States. Based on the data processing results, the statistics of SHV traffic in terms of percentage of entire truck traffic and average daily count at each WIM site were obtained. Also, the frequency distributions of number of axles, gross vehicle weight (GVW) as well as a summary of typical SHV configurations were acquired by assembling the SHV traffic from all sites. The multiple-presence events were also assessed, and the statistics are presented. The second part presents the analysis of load effects of SHVs and the development of statistical models for SHVs. The statistical models consist of three factors: bias ratio, coefficient of variation and probability distribution. Due to the multiple-presence events of SHVs, the models were developed for both one-lane loading case and two-lane loading case. The probability distribution of load effects induced by SHVs on various spans was determined by hypothesis testing. Based on the probability distribution, the maximum load effects over a 5-year period of bridge evaluation were predicted for each site. The site maximum values were then assembled into one dataset and the mean and coefficient of variation were calculated as the statistical parameters for live load. The probability distribution of the site maximum values was also determined by hypothesis testing. In the third part, the statistical models for live loads were used for reliability analysis for existing steel-girder bridges. The load rating factors were obtained for the bridges and plotted against reliability indices for different combinations of SU trucks and ADTTs. The results show that the reliability level provided by the current live load factors are higher than the desired level. The live load factors as well as the live load factors were modified until reliability index equal to 2.5 when rating factor equal to 1 in each plot. New live load factors for SHVs for different ADTTs were presented based on the assessment results.
Subject (authority = RUETD)
Topic
Civil and Environmental Engineering
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_9741
PhysicalDescription
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application/pdf
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text/xml
Extent
1 online resource (x, 179 pages) : illustrations
Note (type = degree)
M.S.
Note (type = bibliography)
Includes bibliographical references
Subject (authority = LCSH)
Topic
Hauling tests
RelatedItem (type = host)
TitleInfo
Title
School of Graduate Studies Electronic Theses and Dissertations
Identifier (type = local)
rucore10001600001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/t3-kff7-wg83
Genre (authority = ExL-Esploro)
ETD graduate
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Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Gao
GivenName
Dongjian
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2019-04-09 17:50:55
AssociatedEntity
Name
Dongjian Gao
Role
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.
RightsEvent
Type
Embargo
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2019-05-31
DateTime (encoding = w3cdtf); (qualifier = exact); (point = end)
2021-05-30
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after May 30th, 2021.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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2019-04-10T07:45:36
DateCreated (point = end); (encoding = w3cdtf); (qualifier = exact)
2019-04-10T07:45:36
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