Experimental and articial neural network based studies on thermal conductivity of lightweight building materials

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dc.authorid0000-0002-0917-7844en_US
dc.contributor.authorOktay, Hasan
dc.contributor.authorFidan, Şehmus
dc.contributor.authorSevim, Davut
dc.contributor.authorPolat, Süleyman
dc.date.accessioned2021-11-15T08:10:35Z
dc.date.available2021-11-15T08:10:35Z
dc.date.issued2017-04-01en_US
dc.departmentBatman Üniversitesi Mühendislik - Mimarlık Fakültesi Makine Mühendisliği Bölümüen_US
dc.description.abstractThe growing concern about energy consumption of heating and cooling of buildings has led to a demand for improved thermal performances of building materials. In this study, an experimental investigation is performed to predict the thermal insulation properties of wall structures of which the mechanical properties are known; by using Levenberg-Marquardt training algorithm based artificial neural network (ANNs) method for energy efficient buildings. The produced samples are cement based and have relatively high insulation properties for energy efficient buildings. In this regard, 102 new concrete samples and their compositions are produced and their mechanical and thermal properties are tested in accordance with ASTM and EN standards. Then, comparisons have been made between the experimental results and the ANN predicted results. It can be concluded that thermal performance of lightweight materials could be predicted with high accuracy using artificial neural network approach.en_US
dc.identifier.citationOktay, H., Fidan, Ş., Sevim, D., Polat, S. (2017). Experimental and articial neural network based studies on thermal conductivity of lightweight building materials. European Journal of Technique (EJT), 7 (1), pp.33-41.en_US
dc.identifier.endpage41en_US
dc.identifier.issn2536-5010
dc.identifier.issue1en_US
dc.identifier.startpage33en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12402/3976
dc.identifier.volume7en_US
dc.language.isoenen_US
dc.publisherEuropean Journal of Technique (EJT)en_US
dc.relation.journalEuropean Journal of Technique (EJT)en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectConcreteen_US
dc.subjectThermal Propertiesen_US
dc.subjectMechanical Propertiesen_US
dc.subjectANNen_US
dc.subjectEnergy Efficient Buildingen_US
dc.titleExperimental and articial neural network based studies on thermal conductivity of lightweight building materialsen_US
dc.title.alternativeHafif yapı malzemelerinin ısıl iletkenliği üzerine deneysel ve yapay sinir ağlarına dayalı çalışmalaren_US
dc.typeArticleen_US

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