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State-of-the-art of probabilistic performance based structural fire engineering

Mayank Shrivastava (Department of Civil and Natural Resources Engineering, University of Canterbury, Christchurch, New Zealand)
Anthony Abu (Department of Civil and Natural Resources Engineering, University of Canterbury, Christchurch, New Zealand)
Rajesh Dhakal (Department of Civil and Natural Resources Engineering, University of Canterbury, Christchurch, New Zealand)
Peter Moss (Department of Civil and Natural Resources Engineering, University of Canterbury, Christchurch, New Zealand)

Journal of Structural Fire Engineering

ISSN: 2040-2317

Article publication date: 23 January 2019

Issue publication date: 22 May 2019

642

Abstract

Purpose

This paper aims to describe current trends in probabilistic structural fire engineering and provides a comprehensive summary of the state-of-the-art of performance-based structural fire engineering (PSFE).

Design/methodology/approach

PSFE has been introduced to overcome the limitations of current conventional design approaches used for the design of fire-exposed structures, which investigate assumed worst-case fire scenarios and include multiple thermal and structural analyses. PSFE permits buildings to be designed in relation to a level of life safety or economic loss that may occur in future fire events with the help of a probabilistic approach.

Findings

This paper brings together existing research on various sources of uncertainty in probabilistic structural fire engineering, such as elements affecting post-flashover fire development, material properties, fire models, fire severity, analysis methods and structural reliability.

Originality/value

Prediction of economic loss would depend on the extent of damage, which is further dependent on the structural response. The representative prediction of structural behaviour would depend on the precise quantification of the fire hazard. The incorporation of major uncertainty sources in probabilistic structural fire engineering is explained, and the detailed description of a pioneering analysis method called incremental fire analysis is presented.

Keywords

Acknowledgements

Financial support to the first author by the university of canterbury international doctoral scholarship is greatly appreciated. The authors would also like to thank dr trevor yeow for reviewing and providing his comments which helped to improve the quality of the paper.

Citation

Shrivastava, M., Abu, A., Dhakal, R. and Moss, P. (2019), "State-of-the-art of probabilistic performance based structural fire engineering", Journal of Structural Fire Engineering, Vol. 10 No. 2, pp. 175-192. https://doi.org/10.1108/JSFE-02-2018-0005

Publisher

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Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

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