Neural Networks Applications in Pavement Engineering: A Recent Survey

dc.contributor.author Ceylan, Halil
dc.contributor.author Bayrak, Mustafa
dc.contributor.author Gopalakrishnan, Kasthurirangan
dc.contributor.department Civil, Construction and Environmental Engineering
dc.date 2018-02-15T16:58:23.000
dc.date.accessioned 2020-06-30T01:13:30Z
dc.date.available 2020-06-30T01:13:30Z
dc.date.copyright Wed Jan 01 00:00:00 UTC 2014
dc.date.embargo 2015-01-07
dc.date.issued 2014-11-01
dc.description.abstract <p>The use of neural networks (NNs) has increased tremendously in several areas of engineering over the last three decades. This paper is intended to provide a state-of-the-art survey of NN applications in pavement engineering over the last three decades. The reported studies are briefly summarized under eight different categories: (1) prediction of pavement condition and performance, (2) pavement management and maintenance strategies, (3) pavement distress forecasting, (4) structural evaluation of pavement systems, (5) pavement image analysis and classification, (6) pavement materials modeling, and (7) other miscellaneous transportation infrastructure applications. To maintain consistency, the review was primarily based on archival journal publications although novel application-oriented NN implementations published in peer-reviewed conference proceedings and edited books were also considered. Recent publications focusing on the development and use of hybrid neural systems in pavement engineering were also included in the review. The increasing number of publications in this area of research in combination with other soft computing techniques every year definitely indicates that more and more students, researchers, and practitioners are interested in exploring the use of NNs in the study of pavement engineering problems.</p>
dc.description.comments <p>This is an article from <em>International Journal of Pavement Research and Technology</em> 7 (2014): 434, doi: <a href="http://dx.dor.org/10.6135/ijprt.org.tw/2014.7(6).434" target="_blank">10.6135/ijprt.org.tw/2014.7(6).434</a>. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/ccee_pubs/42/
dc.identifier.articleid 1043
dc.identifier.contextkey 6506560
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath ccee_pubs/42
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/13950
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/ccee_pubs/42/0-Int.J.PavementResearchTech.PermissionsRequestCeylan.pdf|||Sat Jan 15 00:12:09 UTC 2022
dc.source.bitstream archive/lib.dr.iastate.edu/ccee_pubs/42/2014_CeylanH_NeuralNetworksApplications.pdf|||Sat Jan 15 00:12:09 UTC 2022
dc.source.uri 10.6135/ijprt.org.tw/2014.7(6).434
dc.subject.disciplines Civil and Environmental Engineering
dc.subject.disciplines Construction Engineering and Management
dc.subject.keywords artificial neural network (ANN)
dc.subject.keywords pavement
dc.subject.keywords asphalt
dc.subject.keywords concrete
dc.subject.keywords state-of-the-art
dc.title Neural Networks Applications in Pavement Engineering: A Recent Survey
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication 3cb73d77-de43-4880-939a-063f9cc6bdff
relation.isOrgUnitOfPublication 933e9c94-323c-4da9-9e8e-861692825f91
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