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Air-coupled surface wave testing of pavements

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TitleInfo
Title
Air-coupled surface wave testing of pavements
Name (type = personal)
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Al-Adhami
NamePart (type = given)
Hiba Hussein
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Hiba Hussein Al-Adhami
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Gucunski
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Nenad
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Nenad Gucunski
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Advisory Committee
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Ali
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Ali Maher
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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
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Nazarian
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Soheil
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Soheil Nazarian
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Advisory Committee
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outside member
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Rutgers University
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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
OriginInfo
DateCreated (qualifier = exact)
2019
DateOther (qualifier = exact); (type = degree)
2019-05
Language
LanguageTerm (authority = ISO 639-3:2007); (type = text)
English
Abstract (type = abstract)
One of the most important parameters in pavement evaluation is the elastic modulus. Significant efforts were put in the development and implementation of nondestructive testing (NDT) techniques for elastic modulus profiling of pavements. Spectral Analysis of Surface Waves (SASW) method is one of the successfully implemented methods. The method utilizes a phenomenon of dispersion of surface waves in layered systems. Once the dispersion curve, representing the surface wave velocity-frequency relationship, is measured, the elastic modulus profile is obtained through an inversion or backcalculation process. Traditional SASW test involves generation of surface wave by application of an impact on the pavement surface, and detection of the propagating waves by a series of sensors placed at various distances from the impact source on the pavement surface of the tested system. The non-contact or air-coupled SASW method is an extension of the traditional SASW method, where the leaky surface waves are detected using non-contact sensors, instead of the traditional contact sensors.
The main objective of this study is to develop an automated system for pavement elastic modulus profiling based on air-coupled acoustic testing. To improve the speed and automate the modulus backcalculation process, an artificial neural network (ANN) based backcalculation of a pavement modulus profile was developed. Numerical simulations of the air-coupled SASW test using finite elements were used to develop training, testing and validation data sets. Several hundred finite element models of various pavement configurations were used to develop an extensive database of surface wave dispersion curves. The performance of developed ANN models was validated using both numerical and field test data. The validation using numerical data included backcalculation of profiles for synthetic pavement profiles not used in training and testing. The field validation was conducted using field test data collected by a built non-contact SASW testing system. The system was implemented on two pavement sections, which were also evaluated using ground penetrating radar (GPR) and the ultrasonic surface waves (USW) method to obtain pavement layer thickness and top layer modulus, respectively.
Subject (authority = local)
Topic
Air-coupled
Subject (authority = RUETD)
Topic
Civil and Environmental Engineering
Subject (authority = LCSH)
Topic
Pavements -- Elastic properties -- Testing
RelatedItem (type = host)
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Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
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Identifier
ETD_9744
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application/pdf
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text/xml
Extent
1 online resource (xv, 166 pages) : illustrations
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
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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-y7r4-8323
Genre (authority = ExL-Esploro)
ETD doctoral
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The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Al-Adhami
GivenName
Hiba
MiddleName
Hussein
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2019-04-10 00:23:20
AssociatedEntity
Name
Hiba Al-Adhami
Role
Copyright holder
Affiliation
Rutgers University. School of Graduate Studies
AssociatedObject
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License
Name
Author Agreement License
Detail
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.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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