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Developing a macrotexture prediction model for chip seals

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dc.creator TIĞDEMİR, Mesut
dc.creator AKTAŞ, BEKİR
dc.creator Karasahin, Mustafa
dc.date 2013-03-31T21:00:00Z
dc.date.accessioned 2020-10-06T11:24:16Z
dc.date.available 2020-10-06T11:24:16Z
dc.identifier cfb79cec-c443-4001-aed0-db82186b929c
dc.identifier 10.1016/j.conbuildmat.2012.12.019
dc.identifier https://avesis.sdu.edu.tr/publication/details/cfb79cec-c443-4001-aed0-db82186b929c/oai
dc.identifier.uri http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/72564
dc.description Chip seals are known as one of the most efficient and cost-effective rehabilitation and maintenance application for flexible pavements. The performance prediction and service life determination of chip seals are very important for decision makers within pavement management system. Macrotexture is one of the most important performance indicators in chip seals. In this study, a regression based macrotexture prediction model was developed using the construction parameters, traffic volume, daily temperature conditions as well as the laboratory and in situ test results. (C) 2013 Elsevier Ltd. All rights reserved.
dc.language eng
dc.rights info:eu-repo/semantics/closedAccess
dc.title Developing a macrotexture prediction model for chip seals
dc.type info:eu-repo/semantics/article


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