Properties of pumice aggregate concretes at elevated temperatures and comparison with ANN models

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dc.authoridBingöl, Ahmet Ferhat/0000-0002-8798-8343
dc.authoridTurkmen, Ibrahim/0000-0001-7560-0535
dc.authorwosidBingöl, Ahmet Ferhat/HJI-6488-2023
dc.authorwosidTurkmen, Ibrahim/AAH-1541-2019
dc.contributor.authorTurkmen, Ibrahim
dc.contributor.authorBingol, A. Ferhat
dc.contributor.authorTortum, Ahmet
dc.contributor.authorDemirboga, Ramazan
dc.contributor.authorGul, Ruestem
dc.date.accessioned2024-08-04T20:41:47Z
dc.date.available2024-08-04T20:41:47Z
dc.date.issued2017
dc.departmentİnönü Üniversitesien_US
dc.description.abstractThe mechanical properties and thermal conductivity of concretes including pumice aggregate (PA) exposed to elevated temperature were analyzed by thermal conductivity, compressive strength, flexure strength, dynamic elasticity modulus (DEM) and dry unit weight tests. PA concrete specimens were cast by replacing a varying part of the normal aggregate (0-2 mm) with the PA. All concrete samples were prepared and cured at 23 +/- 10C lime saturated water for 28 days. Compressive strength of concretes including PA decreased that reductions were 14, 19, 25 and 34% for 25, 50, 75 and 100% PA, respectively. The maximum thermal conductivity of 1.9382W/mK was observed with the control samples containing normal aggregate. The tests were carried out by subjecting the samples to a temperature of 0, 100, 200, 300, 400 500, 600 and 700 degrees C for 3 h, then cooling by air cooling or in water method. The results indicated that all concretes exposed to a temperature of 500 and 700 degrees C occurred a significant decrease in thermal conductivity, compressive strength, flexure strength and DEM. An artificial neural network (ANN) approach was used to model the thermal and mechanical properties of PA concretes. The predicted values of the ANN were in accordance with the experimental data. The results indicate that the model can predict the concrete properties after elevated temperatures with adequate accuracy. Copyright (C) 2016 John Wiley & Sons, Ltd.en_US
dc.description.sponsorshipScientific and Technical Research Council of Turkey (TUBITAK) [106M230]en_US
dc.description.sponsorshipThe authors would like to thank The Scientific and Technical Research Council of Turkey (TUBITAK) for financial supporting, project no. 106M230.en_US
dc.identifier.doi10.1002/fam.2374
dc.identifier.endpage153en_US
dc.identifier.issn0308-0501
dc.identifier.issn1099-1018
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-84971418574en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage142en_US
dc.identifier.urihttps://doi.org/10.1002/fam.2374
dc.identifier.urihttps://hdl.handle.net/11616/97349
dc.identifier.volume41en_US
dc.identifier.wosWOS:000394690100004en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relation.ispartofFire and Materialsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectconcreteen_US
dc.subjectelevated temperaturesen_US
dc.subjectpumice aggregateen_US
dc.subjectthermal conductivityen_US
dc.subjectcompressive strengthen_US
dc.subjectdynamic elasticity modulus and artificial neural networken_US
dc.titleProperties of pumice aggregate concretes at elevated temperatures and comparison with ANN modelsen_US
dc.typeArticleen_US

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