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Accumulated strain prediction of polypropylene modified marshall specimens in repeated creep test using artificial neural networks

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dc.contributor.authorTapkın, Serkan
dc.contributor.authorUşar, Ün
dc.contributor.authorÜn Uşar
dc.contributor.orcid0000-0003-1417-9972
dc.contributor.orcid0000-0002-5253-2952
dc.date.accessioned2025-11-13T09:15:15Z
dc.date.issued2009-03-07
dc.identifier.doihttps://doi.org/10.1016/j.eswa.2009.02.089
dc.identifier.endpage11197
dc.identifier.issn0957-4174
dc.identifier.issue8
dc.identifier.openalexW2018912860
dc.identifier.startpage11186
dc.identifier.urihttps://hdl.handle.net/11421/909
dc.identifier.urihttps://doi.org/10.1016/j.eswa.2009.02.089
dc.identifier.volume36
dc.language.isoen
dc.relation.ispartofExpert Systems with Applications
dc.rightsrestrictedAccess
dc.subjectCreep
dc.subjectPolypropylene
dc.subjectMaterials science
dc.subjectComposite material
dc.subjectAsphalt
dc.subjectRheology
dc.subjectUniversal testing machine
dc.subjectParametric statistics
dc.subjectMathematics
dc.subjectUltimate tensile strength
dc.titleAccumulated strain prediction of polypropylene modified marshall specimens in repeated creep test using artificial neural networks
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5027623678
local.authorid.openalexA5111779431

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