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Modeling the pavement serviceability ratio of flexible highway pavements by artificial neural networks

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dc.creator Terzi, Serdal
dc.date 2007-02-28T22:00:00Z
dc.date.accessioned 2020-10-06T09:15:42Z
dc.date.available 2020-10-06T09:15:42Z
dc.identifier 00282734-7ed1-4730-bf01-e83d5c60360c
dc.identifier 10.1016/j.conbuildmat.2005.11.001
dc.identifier https://avesis.sdu.edu.tr/publication/details/00282734-7ed1-4730-bf01-e83d5c60360c/oai
dc.identifier.uri http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/51857
dc.description The 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.
dc.language eng
dc.rights info:eu-repo/semantics/closedAccess
dc.title Modeling the pavement serviceability ratio of flexible highway pavements by artificial neural networks
dc.type info:eu-repo/semantics/article


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