Fire load density distribution in school buildings and statistical modelling

Andrew Barnett, Chunjie Cheng, Mahmut Horasan, Yaping He, Laurence Park

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Reported in this paper is an exercise that contributes to the fire load database for fire severity analysis. The movable fuel load data was collected by the weight-inventory method from a specific building type, namely school buildings located within the metropolitan area of Sydney, Australia. The data was analysed to obtain statistical descriptions of fire load density in terms of probability density distributions. The results were compared with the similar data obtained from other countries. It was found that while basic statistical characteristics show similarities globally, some other characteristics, particularly the 90th percentile, may differ from one country to the other. This outcome suggests that fire load selection for design fires in fire safety engineering design and assessment should be better based on local data and a careful review of the unified approach in the international fire engineering guidelines is warranted.
Original languageEnglish
Pages (from-to)503-521
Number of pages19
JournalFire Technology
Volume58
Issue number1
DOIs
Publication statusPublished - Jan 2022

Bibliographical note

Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

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