An Experimental Study of Steel Fibre Reinforced Concrete Columns Under Axial Load and Modeling by ANN

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dc.contributor.authorYılmaz, Ülkü Sultan
dc.contributor.authorSarıtaş, İsmail
dc.contributor.authorKamanlı, Mehmet
dc.contributor.authorKaltakcı, Mevlüt Yaşar
dc.date.accessioned2020-03-26T17:46:58Z
dc.date.available2020-03-26T17:46:58Z
dc.date.issued2010
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractConcrete is a construction (building) material of which its usage in different fields has become widely spread by growing due to some of its effectiveness such as being easily shaped, resistance against physical and chemical outer effects, economical and having convenience in production. As a result of being widespread, it has been understood that concrete will serve more effective than the expected classical quality of it if it is consolidated with new techniques and new materials against outer physical and chemical effects. Different techniques are being developed to meet the requirement of various effects which exist in places where they are used. One of these techniques is to use steel fibre that has high technical properties. In addition to this, fibres which are produced from different materials may also be used with the concrete. As the day passes, the usage fields of the concrete that is produced by consolidating with different amount of steel fibre are increasing. In this study, the behaviours of ferroconcretes with steel fibre and without steel fibre were investigated under the axial load as experimentally. At the experimental stage, axial force-unit shortening ratios were obtained by loading 4 items of prismatic column samples with 160 x 160 x 840 mm dimension as axially in the mechanism that has load control in it. ANN model was done by data obtained from experimental study. Backpropagation algorithm was used in this study. ANN was designed as one input, one hidden layer and two output layers. 75 of 112 obtained data were used as training data whereas the rest was used as test data. Data was normalized and modelled by Matlab NNToolbox and obtained data were compared with experimental results by SPSS statistical programme. When the comparison was made between the results of the experiments, it was determined that there was no significant increase in the carrying power of the elements. The same results were obtained by ANN model. Since p > 0.05 as the result of the statistical analysis done in the 95% confidence interval between data obtained from experiments and ANN model, the reliability of the ANN model was proven.en_US
dc.description.sponsorshipSelcuk University's Scientific Research UnitSelcuk Universityen_US
dc.description.sponsorshipThis study has been supported by Selcuk University's Scientific Research Unit.en_US
dc.identifier.citationYılmaz, Ü. S., Sarıtaş, İ., Kamanlı, M., Kaltakcı, M. Y., (2010). An Experimental Study of Steel Fibre Reinforced Concrete Columns Under Axial Load and Modeling by ANN. Scientific Research and Essays, 5(1), 81-92.
dc.identifier.endpage92en_US
dc.identifier.issn1992-2248en_US
dc.identifier.issue1en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage81en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/24592
dc.identifier.volume5en_US
dc.identifier.wosWOS:000275398500012en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorYılmaz, Ülkü Sultan
dc.institutionauthorSarıtaş, İsmail
dc.institutionauthorKamanlı, Mehmet
dc.institutionauthorKaltakcı, Mevlüt Yaşar
dc.language.isoenen_US
dc.publisherAcademic Journalsen_US
dc.relation.ispartofScientific Research and Essaysen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectArtificial neural networken_US
dc.subjectSteel wire/fibreen_US
dc.subjectFerroconcrete columnen_US
dc.subjectAxial load effecten_US
dc.subjectColumn with fibreen_US
dc.titleAn Experimental Study of Steel Fibre Reinforced Concrete Columns Under Axial Load and Modeling by ANNen_US
dc.typeArticleen_US

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