Prediction of the Pavement Serviceability Ratio of Rigid Highway Pavements by Artificial Neural Networks

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dc.contributor.authorMorova, Nihat
dc.contributor.authorSerin, Sercan
dc.contributor.authorTerzi, Serdal
dc.contributor.authorSaltan, Mehmet
dc.date.accessioned2024-12-28T20:27:17Z
dc.date.available2024-12-28T20:27:17Z
dc.date.issued2013
dc.description.abstractThe term ‘‘present serviceability’’ was adopted to represent the momentary ability of pavement to serve traffic, and the performance of the pavement was represented by its serviceability history in conjunction with its load application history. Serviceability was found to be influenced by longitudinal and transverse profile as well as the extent of cracking and patching. The amount of weight to assign to each element in the determination of the over-all serviceability is a matter of subjective opinion. In this study, the present serviceability index of rigid highway pavements has been predicted by an artificial neural network (ANN) model. For this model, the 49 experimental data obtained from AASHTO include slope variance, faulting, cracking, spalling and patching. The developed ANN model has a higher regression value than the AASHO model. This approach can be easily and realistically performed to solve the problems which do not have a formulation or function for the solution.
dc.description.abstract
dc.identifier.dergiparkDergiPark: 66419
dc.identifier.endpage25
dc.identifier.issn2147-3455
dc.identifier.issue1
dc.identifier.startpage12
dc.identifier.urihttps://dergipark.org.tr/tr/download/article-file/56451
dc.identifier.urihttps://dergipark.org.tr/tr/pub/duzceitbd/issue/4814/66419
dc.identifier.urihttps://hdl.handle.net/20.500.12684/17486
dc.identifier.volume2
dc.language.isotr
dc.publisherDüzce Üniversitesi
dc.relation.ispartofİleri Teknoloji Bilimleri Dergisi
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241228
dc.subjectArtificial Neural Networks
dc.subjectPavement
dc.subjectRigid Pavements
dc.subjectServiceability
dc.titlePrediction of the Pavement Serviceability Ratio of Rigid Highway Pavements by Artificial Neural Networks
dc.title.alternativePrediction of the Pavement Serviceability Ratio of Rigid Highway Pavements by Artificial Neural Networks
dc.typeArticle

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