Prediction of the thermal conductivity of lightweight building materials utilizing backpropagation neural network method

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dc.authorid0000-0002-0917-7844en_US
dc.contributor.authorOktay, Hasan
dc.contributor.authorPolat, Süleyman
dc.contributor.authorFidan, Şehmus
dc.date.accessioned2021-11-17T07:10:38Z
dc.date.available2021-11-17T07:10:38Z
dc.date.issued2015en_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 and roof structures of which the mechanical properties are known, by using backpropagation artificial neural network (ANNs) method. The produced samples are cement based and have relatively high insulation properties for energy efficient buildings. In this regard, 102 new 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 determined thermal conductivity of the newly produced structures, which are obtained from experimental method and ANN method that uses mechanical properties as input parameters. From the test results, since the percentage errors in the thermal conductivity values between experimental data and neural network prediction vary from - 1.09% to 6.4%, It can be concluded that the prediction of the artificial neural network has proceed in the correct manner.en_US
dc.identifier.citationOktay, H., Polat, S., Fidan, Ş. (2015). Prediction of the thermal conductivity of lightweight building materials utilizing backpropagation neural network method. International Conference on Advances and Innovations in Engineering (ICAIE), 10-12 May 2015, Elazığ, Turkeyen_US
dc.identifier.isbn9786056757525
dc.identifier.urihttps://hdl.handle.net/20.500.12402/3997
dc.language.isoenen_US
dc.publisherFırat Üniversitesien_US
dc.relation.journalInternational Conference on Advances and Innovations in Engineering (ICAIE), 10-12 May 2015en_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 Conductivityen_US
dc.subjectMechanical Propertiesen_US
dc.subjectBack-Propagationen_US
dc.subjectEnergy Efficient Buildingen_US
dc.titlePrediction of the thermal conductivity of lightweight building materials utilizing backpropagation neural network methoden_US
dc.title.alternativeGeri yayılım sinir ağı yöntemi kullanılarak hafif yapı malzemelerinin ısıl iletkenliğinin tahminien_US
dc.typeConference Objecten_US

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