Effect of aggregate mineralogical properties on high strength concrete modulus of elasticity

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dc.contributor.authorKaya, Mustafa
dc.contributor.authorKömür, M. Aydın
dc.contributor.authorGürsel, Erçin
dc.date.accessioned2022-09-07T10:56:50Z
dc.date.available2022-09-07T10:56:50Z
dc.date.issued2022
dc.departmentMühendislik Fakültesi
dc.description.abstractAggregates mineralogical, and petrographic properties directly affect the mechanical properties of the produced high strength. This study is focused on the effects of magmatic, sedimentary, and metamorphic aggregates on the performance of high strength concrete. In this study, the effect of the mineralogical properties of aggregates on the compressive strength and modulus of elasticity of high-strength concrete was estimated by Artifical Neural Network (ANN). To estimate the compressive strength and elasticity modules, 96 test specimens were produced. After 28 days under suitable conditions, tests were carried out to determine the compressive strength and modulus of elasticity of the test specimens. This study also focused on the application of artificial neural networks (ANN) to predict the 28-day compressive strength and the modulus of elasticity of high-strength concrete. An ANN model is developed, trained, and tested by using the available test data obtained from the experimental studies. The ANN model is found to predict the modulus of elasticity, and 28 days compressive strength of high strength concrete well, within the ranges of the input parameters. These comparisons show that ANNs have a strong potential to predict the compressive strength and modulus of elasticity of high-strength concrete over the range of input parameters considered.
dc.identifier.doi10.12989/acc.2022.13.6.411
dc.identifier.endpage422en_US
dc.identifier.issn2287-5301
dc.identifier.issn2287-531X
dc.identifier.issue6en_US
dc.identifier.scopusqualityQ2
dc.identifier.startpage411en_US
dc.identifier.urihttps:/dx.doi.org/10.12989/acc.2022.13.6.411
dc.identifier.urihttps://hdl.handle.net/20.500.12451/9674
dc.identifier.volume13en_US
dc.identifier.wosWOS:000823419600001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherTechno Press
dc.relation.ispartofAdvances in Concrete Construction
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectAggregate Mineralogical Properties
dc.subjectArtificial Neural Network
dc.subjectCompressive Strength
dc.subjectHigh Strength Concrete
dc.subjectModulus of Elasticity
dc.titleEffect of aggregate mineralogical properties on high strength concrete modulus of elasticity
dc.typeArticle

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