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Predicting fire resistance of SRC columns through gene expression programming

Meisam Hassani (Faculty of Civil, Water and Environmental Engineering, Shahid Beheshti University, Tehran, Islamic Republic of Iran)
Mohammad Safi (Faculty of Civil, Water and Environmental Engineering, Shahid Beheshti University, Tehran, Islamic Republic of Iran)
Reza Rasti Ardakani (Faculty of Civil, Water and Environmental Engineering, Shahid Beheshti University, Tehran, Islamic Republic of Iran)
Amir Saedi Daryan (Faculty of Civil, Water and Environmental Engineering, Shahid Beheshti University, Tehran, Islamic Republic of Iran)

Journal of Structural Fire Engineering

ISSN: 2040-2317

Article publication date: 9 November 2020

Issue publication date: 24 May 2021

81

Abstract

Purpose

This paper aims to predict the fire resistance of steel-reinforced concrete columns by application of the genetic algorithm.

Design/methodology/approach

In total, 11 effective parameters are considered including mechanical and geometrical properties of columns and loading values as input parameters and the duration of concrete resistance at elevated temperatures as the output parameter. Then, experimental data of several studies – with extensive ranges – are collected and divided into two categories.

Findings

Using the first set of the data along with the gene expression programming (GEP), the fire resistance predictive model of steel-reinforced concrete (SRC) composite columns is presented. By application of the second category, evaluation and validation of the proposed model are investigated as well, and the correspondent time-temperature diagrams are derived.

Originality/value

The relative error of 10% and the R coefficient of 0.9 for the predicted model are among the highlighted results of this validation. Based on the statistical errors, a fair agreement exists between the experimental data and predicted values, indicating the appropriate performance of the proposed GEP model for fire resistance prediction of SRC columns.

Keywords

Citation

Hassani, M., Safi, M., Rasti Ardakani, R. and Saedi Daryan, A. (2021), "Predicting fire resistance of SRC columns through gene expression programming", Journal of Structural Fire Engineering, Vol. 12 No. 2, pp. 125-140. https://doi.org/10.1108/JSFE-04-2020-0013

Publisher

:

Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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