Artificial Intelligence Approach in Predicting the Effect of Elevated Temperature on the Mechanical Properties of PET Aggregate Mortars: An Experimental Study

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dc.authoridAkcaozoglu, Semiha/0000-0003-1033-5819
dc.authoridColak, Andac Batur/0000-0001-9297-8134
dc.contributor.authorColak, Andac Batur
dc.contributor.authorAkcaozoglu, Kubilay
dc.contributor.authorAkcaozoglu, Semiha
dc.contributor.authorBeller, Gulhan
dc.date.accessioned2024-11-07T13:24:13Z
dc.date.available2024-11-07T13:24:13Z
dc.date.issued2021
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description.abstractIn this study, the effect of high temperature on the flexural and compressive strength of mortars containing waste PET aggregates was investigated experimentally. The mortar samples prepared in 5 different concentrations with a total of 2.5%, 5%, 10%, 20% and 30% PET aggregate substitution were heated up to 100, 150, 200, 250, 300 and 400 degrees C. After waiting for 1, 2 and 3 h at these temperatures, flexural and compressive strength tests were performed. It was observed that flexural strength and compressive strength values decreased with increasing temperature and PET aggregate amounts in all mixtures. An artificial neural network was designed to estimate flexural and compressive strength values using experimental data. It has been observed that the developed artificial neural network can predict flexural and compressive strengths with an average error of - 0.51%.
dc.identifier.doi10.1007/s13369-020-05280-1
dc.identifier.endpage4881
dc.identifier.issn2193-567X
dc.identifier.issn2191-4281
dc.identifier.issue5
dc.identifier.scopus2-s2.0-85099253892
dc.identifier.scopusqualityQ1
dc.identifier.startpage4867
dc.identifier.urihttps://doi.org/10.1007/s13369-020-05280-1
dc.identifier.urihttps://hdl.handle.net/11480/13977
dc.identifier.volume46
dc.identifier.wosWOS:000605157700030
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer Heidelberg
dc.relation.ispartofArabian Journal For Science and Engineering
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241106
dc.subjectWaste PET aggregate
dc.subjectFlexural strength
dc.subjectCompressive strength
dc.subjectElevated temperature
dc.subjectArtificial neural network
dc.titleArtificial Intelligence Approach in Predicting the Effect of Elevated Temperature on the Mechanical Properties of PET Aggregate Mortars: An Experimental Study
dc.typeArticle

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