Modeling Marshall stability of light asphalt concretes fabricated using expanded clay aggregate with artificial neural networks

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dc.contributor.authorMorova, Nihat
dc.contributor.authorKarahançer, Şebnem Sargın
dc.contributor.authorTerzi, Serdal
dc.contributor.authorSaltan, Mehmet
dc.contributor.authorSerin, Sercan
dc.date.accessioned2020-04-30T13:32:48Z
dc.date.available2020-04-30T13:32:48Z
dc.date.issued2012
dc.departmentDÜ, Teknik Eğitim Fakültesi, Yapı Eğitimi Bölümüen_US
dc.descriptionInternational Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2012 -- 2 July 2012 through 4 July 2012 -- Trabzon -- 92831en_US
dc.description.abstractIn this study, an Artificial Neural Network (ANN) model has been developed to estimate Marshall Stability (MS) of lightweight asphalt concrete containing expanded clay. In the model, amount of bitumen (%), transition speed of ultrasound (?s), unit weight (gr/cm 3) were used as inputs and Marshall Stability (kg) was used as output. Developed ANN model results and the experimental results were compared and good relationship was found. © 2012 IEEE.en_US
dc.identifier.doi10.1109/INISTA.2012.6246946en_US
dc.identifier.isbn9781467314466
dc.identifier.urihttps://dx.doi.org/10.1109/INISTA.2012.6246946
dc.identifier.urihttps://hdl.handle.net/20.500.12684/442
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.relation.ispartofINISTA 2012 - International Symposium on INnovations in Intelligent SysTems and Applicationsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial Neural networks; expanded clay; Lightweight asphalt concrete; Marshall Stability; Predictionen_US
dc.titleModeling Marshall stability of light asphalt concretes fabricated using expanded clay aggregate with artificial neural networksen_US
dc.typeConference Objecten_US

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