New model for compressive strength loss of lightweight concrete exposed to elevated temperatures

This study proposes a new model for the residual compressive strength of structural lightweight concrete after exposure to elevated temperatures up to 1000°C. For this purpose, a database of residual compressive strengths of fire exposed lightweight concrete was compiled from the literature. Databas...

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Main Authors:	Kurtoglu Ahmet Emin, Bakbak Derya
Format:	Article
Language:	English
Published:	VINCA Institute of Nuclear Sciences 2019-01-01
Series:	Thermal Science
Subjects:	Lightweight concrete high temperature compressive strength symbolic regression modeling
Online Access:	http://www.doiserbia.nb.rs/img/doi/0354-9836/2019/0354-98361900042K.pdf

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spelling	doaj-c46f7f9316824a9ab32ad0fb1369bb7c2021-01-02T11:50:27ZengVINCA Institute of Nuclear SciencesThermal Science0354-98362019-01-0123Suppl. 128529310.2298/TSCI181030042K0354-98361900042KNew model for compressive strength loss of lightweight concrete exposed to elevated temperaturesKurtoglu Ahmet Emin0Bakbak Derya1Istanbul Gelisim University, Department of Civil Engineering, Avcılar, Istanbul, TurkeyThe Grand National Assembly of Turkey (TBMM), Çankaya, Ankara, TurkeyThis study proposes a new model for the residual compressive strength of structural lightweight concrete after exposure to elevated temperatures up to 1000°C. For this purpose, a database of residual compressive strengths of fire exposed lightweight concrete was compiled from the literature. Database consisted a total number of 289 data points, used for generating training and testing datasets. Symbolic regression was carried out to generate formulations by accounting for various input parameters such as heating rate, cooling regime, target temperature, water content, aggregate type, and aggregate content. Afterwards, predictions of proposed formulation is compared to experimental results. Statistical evaluations verify that the prediction performance of proposed model is quite high.http://www.doiserbia.nb.rs/img/doi/0354-9836/2019/0354-98361900042K.pdfLightweight concretehigh temperaturecompressive strengthsymbolic regressionmodeling
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Kurtoglu Ahmet Emin Bakbak Derya
spellingShingle	Kurtoglu Ahmet Emin Bakbak Derya New model for compressive strength loss of lightweight concrete exposed to elevated temperatures Thermal Science Lightweight concrete high temperature compressive strength symbolic regression modeling
author_facet	Kurtoglu Ahmet Emin Bakbak Derya
author_sort	Kurtoglu Ahmet Emin
title	New model for compressive strength loss of lightweight concrete exposed to elevated temperatures
title_short	New model for compressive strength loss of lightweight concrete exposed to elevated temperatures
title_full	New model for compressive strength loss of lightweight concrete exposed to elevated temperatures
title_fullStr	New model for compressive strength loss of lightweight concrete exposed to elevated temperatures
title_full_unstemmed	New model for compressive strength loss of lightweight concrete exposed to elevated temperatures
title_sort	new model for compressive strength loss of lightweight concrete exposed to elevated temperatures
publisher	VINCA Institute of Nuclear Sciences
series	Thermal Science
issn	0354-9836
publishDate	2019-01-01
description	This study proposes a new model for the residual compressive strength of structural lightweight concrete after exposure to elevated temperatures up to 1000°C. For this purpose, a database of residual compressive strengths of fire exposed lightweight concrete was compiled from the literature. Database consisted a total number of 289 data points, used for generating training and testing datasets. Symbolic regression was carried out to generate formulations by accounting for various input parameters such as heating rate, cooling regime, target temperature, water content, aggregate type, and aggregate content. Afterwards, predictions of proposed formulation is compared to experimental results. Statistical evaluations verify that the prediction performance of proposed model is quite high.
topic	Lightweight concrete high temperature compressive strength symbolic regression modeling
url	http://www.doiserbia.nb.rs/img/doi/0354-9836/2019/0354-98361900042K.pdf
work_keys_str_mv	AT kurtogluahmetemin newmodelforcompressivestrengthlossoflightweightconcreteexposedtoelevatedtemperatures AT bakbakderya newmodelforcompressivestrengthlossoflightweightconcreteexposedtoelevatedtemperatures
_version_	1724354859478548480

New model for compressive strength loss of lightweight concrete exposed to elevated temperatures

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