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dc.rights.licenseKūrybinių bendrijų licencija / Creative Commons licenceen_US
dc.contributor.authorKleizienė, Rita
dc.contributor.authorVaitkus, Audrius
dc.contributor.authorŽidanavičiūtė, Jurgita
dc.contributor.authorMarcinkevičius, Evaldas
dc.date.accessioned2024-10-09T06:57:58Z
dc.date.available2024-10-09T06:57:58Z
dc.date.issued2017
dc.identifier.issn2029-7092en_US
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/155056
dc.description.abstractSurface temperature significantly affects the asphalt layers modulus and entire pavement structure response to vehicles traffic loading. Because of the rheological properties of bitumen binders, the asphalt performs similarly to temperature-susceptible visco-elastic materials. The historical temperature data of local regions is necessary to design sustainable pavement structures. Likewise, the layers’ material mechanical properties determined at specific temperatures is essential for proper design too. This paper presents an analysis of pavement surface temperature classification results. Data analysis covers temperature data from the Road Weather Information Stations from the past ten years. An analysis of various temperature profile forecast methods is presented, followed by a review of recent research on the impact of temperature and cause of failure. Particular emphasis is laid on sorting the qualitative temperature data. The complete linkage clustering method had been used for establishing the most similar pairs for classification. Accordingly, the territory of Lithuania was divided into three main regions with different pavement temperature distributions for each temperature interval. Temperature classification along these lines enables pavement responses to be estimated over the pavement design life.en_US
dc.format.extent7 p.en_US
dc.format.mediumTekstas / Texten_US
dc.language.isoenen_US
dc.relation.urihttps://etalpykla.vilniustech.lt/handle/123456789/154497en_US
dc.rightsAttribution-NonCommercial 4.0 Internationalen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/en_US
dc.source.urihttp://enviro.vgtu.lt/index.php/enviro/2017/paper/view/557en_US
dc.subjectcold climateen_US
dc.subjectflexible pavementen_US
dc.subjectpavement temperatureen_US
dc.subjecttemperature profileen_US
dc.titleClassification of surface temperature for the flexible pavement designen_US
dc.typeKonferencijos publikacija / Conference paperen_US
dcterms.accessRightsLaisvai prieinamas / Openly availableen_US
dcterms.alternativeRoads and railwaysen_US
dcterms.issued2017-04-28
dcterms.licenseCC BY NCen_US
dcterms.references32en_US
dc.description.versionTaip / Yesen_US
dc.contributor.institutionVilniaus Gedimino technikos universitetasen_US
dc.contributor.institutionVilnius Gediminas Technical Universityen_US
dc.contributor.facultyAplinkos inžinerijos fakultetas / Faculty of Environmental Engineeringen_US
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciencesen_US
dc.contributor.departmentKelių tyrimo institutas / Road Research Instituteen_US
dc.contributor.departmentMatematinės statistikos katedra / Department of Mathematical Statisticsen_US
dcterms.sourcetitle10th International Conference “Environmental Engineering” (ICEE-2017)en_US
dc.identifier.eisbn9786094760440en_US
dc.identifier.eissn2029-7092en_US
dc.publisher.nameVilnius Gediminas Technical Universityen_US
dc.publisher.nameVilniaus Gedimino technikos universitetasen_US
dc.publisher.countryLithuaniaen_US
dc.publisher.countryLietuvaen_US
dc.publisher.cityVilniusen_US
dc.identifier.doihttps://doi.org/10.3846/enviro.2017.139en_US


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Kūrybinių bendrijų licencija / Creative Commons licence
Except where otherwise noted, this item's license is described as Kūrybinių bendrijų licencija / Creative Commons licence