Probabilistic structural fire engineering is an approach to designing structures for fire conditions, which allows the estimation of an annual rate of exceeding various levels of building response. This is done by combining the annual rate of exceeding various fire exposure conditions with probabilistic relationships between structural response and fire severity. One available method that has been used to quantify this relationship is incremental fire analysis (IFA). Another approach which is well-established in earthquake engineering but has so far not been explored in fire engineering is cloud analysis (CA). This paper compares how well both methods estimate structural response under fire conditions and their associated probabilities of exceedance of a specified level of structural response. The paper demonstrates the inner workings of the two methods and their application and also proposes recommendations for their application to structural fire engineering. It is demonstrated with the help of a case study of a composite steel beam exposed to a suite of fires, generated by considering fuel load and ventilation as random variables. CA is found to be computationally less demanding than IFA, yet both approaches produce similar probability of exceedance of various levels of structural response.
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June 2020
Research Article|
July 25 2019
Probabilistic structural fire engineering using incremental fire analysis and cloud analysis Available to Purchase
Mayank Shrivastava
;
Mayank Shrivastava
PhD candidate, Department of Civil and Natural Resources Engineering, University of Canterbury, Christchurch, New Zealand (corresponding author: mayank.shrivastava@pg.canterbury.ac.nz)
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Anthony K. Abu
;
Anthony K. Abu
Senior Lecturer, Department of Civil and Natural Resources Engineering, University of Canterbury, Christchurch, New Zealand
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Rajesh P. Dhakal;
Rajesh P. Dhakal
Professor, Department of Civil and Natural Resources Engineering, University of Canterbury, Christchurch, New Zealand
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Peter J. Moss;
Peter J. Moss
Adjunct Associate Professor, Department of Civil and Natural Resources Engineering, University of Canterbury, Christchurch, New Zealand
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Trevor Z. Yeow
Trevor Z. Yeow
Project Researcher, Earthquake Research Institute, University of Tokyo
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Publisher: Emerald Publishing
Received:
January 13 2018
Accepted:
June 27 2019
Online ISSN: 1755-0785
Print ISSN: 1755-0777
ICE Publishing: All rights reserved
2019
Proceedings of the Institution of Civil Engineers - Engineering and Computational Mechanics (2020) 173 (2): 47–58.
Article history
Received:
January 13 2018
Accepted:
June 27 2019
Citation
Shrivastava M, Abu AK, Dhakal RP, Moss PJ, Yeow TZ (2020), "Probabilistic structural fire engineering using incremental fire analysis and cloud analysis". Proceedings of the Institution of Civil Engineers - Engineering and Computational Mechanics, Vol. 173 No. 2 pp. 47–58, doi: https://doi.org/10.1680/jencm.18.00001
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