Adaptive neuro-fuzzy inference approach for prediction the stiffness modulus on asphalt concrete

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dc.contributor.authorÖzgan, Ercan
dc.contributor.authorKorkmaz, İbrahim
dc.contributor.authorEmiroğlu, Mehmet
dc.date.accessioned2020-04-30T22:39:00Z
dc.date.available2020-04-30T22:39:00Z
dc.date.issued2012
dc.departmentDÜ, Teknik Eğitim Fakültesi, Yapı Eğitimi Bölümüen_US
dc.descriptionEmiroglu, Mehmet/0000-0002-0214-4986en_US
dc.descriptionWOS: 000299803100011en_US
dc.description.abstractIn this study, stiffness modulus parameters of asphalt concrete were determined experimentally for different temperature and exposure times. The stiffness modules were calculated according to Nijboer stiffness module. Basic physical properties and the quantity of bitumen of asphalt core samples were designated for determining the stiffness modules. The samples were exposed to 17 degrees C (reference temperature), 30, 40 and 50 degrees C temperatures for 1.5, 3, 4.5 and 6 h respectively and then Marhall Stability tests were done for each samples. By using the test results a prediction model with Sugeno type based on the adaptive neuron-fuzzy inference system (ANFIS) was alternatively developed to predict the stiffness modules of asphalt core samples. As a result, it was seen that the developed prediction model could be used as a prediction model for unperformed situations which are not suitable for experiments. (C) 2011 Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.advengsoft.2011.09.015en_US
dc.identifier.endpage104en_US
dc.identifier.issn0965-9978
dc.identifier.issn1873-5339
dc.identifier.issue1en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage100en_US
dc.identifier.urihttps://doi.org/10.1016/j.advengsoft.2011.09.015
dc.identifier.urihttps://hdl.handle.net/20.500.12684/2554
dc.identifier.volume45en_US
dc.identifier.wosWOS:000299803100011en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier Sci Ltden_US
dc.relation.ispartofAdvances In Engineering Softwareen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAsphalt concreteen_US
dc.subjectStiffness modulusen_US
dc.subjectPrediction modelen_US
dc.subjectSugeno fuzzy inferenceen_US
dc.subjectTemperature effecten_US
dc.subjectExposure timesen_US
dc.titleAdaptive neuro-fuzzy inference approach for prediction the stiffness modulus on asphalt concreteen_US
dc.typeArticleen_US

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