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Practical method to predict the axial capacity of RC columns exposed to standard fire

Salah F. El-Fitiany (Civil Engineering Department, Alexandria University, Alexandria, Egypt)
Maged A. Youssef (Department of Civil and Environmental Engineering, Western University, London, Ontario, Canada)

Journal of Structural Fire Engineering

ISSN: 2040-2317

Article publication date: 10 January 2018

Issue publication date: 16 October 2018

256

Abstract

Purpose

Existing analytical methods for the evaluation of fire safety of reinforced concrete (RC) structures require extensive knowledge of heat transfer calculations and the finite element method. This paper aims to propose a rational method to predict the axial capacity of RC columns exposed to standard fire.

Design/methodology/approach

The average temperature distribution along the section height is first predicted for a specific fire scenario. The corresponding distribution of the reduced concrete strength is then integrated to develop expressions to calculate the axial capacity of RC columns exposed to fire from four faces.

Findings

These expressions provide structural engineers with a rational tool to satisfy the objective-based design clauses specified in the National Code of Canada in lieu of the traditional prescriptive methods.

Research limitations/implications

The research is limited to standard fire curves and needs to be extended to cover natural fire curves.

Originality/value

This paper is the first to propose an accurate yet simple method to calculate the axial capacity of columns exposed to standard fire curves. The method can be applied using a simple Excel sheet. It can be further developed to apply to natural fire curves.

Keywords

Acknowledgements

This research was funded by the Natural Sciences and Engineering Research Council of Canada (NSERC).

Citation

El-Fitiany, S.F. and Youssef, M.A. (2018), "Practical method to predict the axial capacity of RC columns exposed to standard fire", Journal of Structural Fire Engineering, Vol. 9 No. 4, pp. 266-286. https://doi.org/10.1108/JSFE-08-2016-0015

Publisher

:

Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

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