Distribution of probabilistic design fires for single residential items

Zulmajdi, Iffah Umairah; Tohir, Mohd Zahirasri Mohd; Yaw, Thomas Choong Shean; Harun, Mohd Yusof; Said, Mohamad Syazarudin Md

doi:10.1016/j.firesaf.2023.103908

Cited by 1 publication

(1 citation statement)

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“…A recent study conducted by Zulmajdi et al compiled distributions of HRR results taken from the literature for various fuel packages (e.g., upholstered chairs) [25]. While these compiled data provide a range of values found in the literature, the constituent results still focus on a low number of repeat trials and therefore does not directly address the variability for a single experimental configuration.…”

Section: Introductionmentioning

confidence: 99%

Repeat Fire Tests of Upholstered Furniture: Variability and Experimental Observations

Morrisset,

Reep,

Ojwang

et al. 2024

Fire Technol

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A series of trials were conducted to investigate the repeatability of furniture-scale calorimetry experiments. Twenty-five identical upholstered chairs were ignited under the same experimental conditions. Experimental results of heat release rate (HRR), mass loss rate (MLR), and emission yields (CO, CO2, N2O, NO, CH4, HCN) are presented. Discrepancies were observed between the time resolved evolution of the various recorded data. However the development of each fire was observed to be tied to common events. By accounting for these events, a more consistent representation of the burning behaviour can be expressed. Each experiment displayed distinct burning regimes (i.e., pyrolysis, flaming, and smouldering) which were identified through visual observation and through analysing the emission data. Some species yields were found to be approximately constant over some burning regimes (e.g., CO2 yield over the flaming regime) while others displayed highly transient behaviour (e.g., CO yield was found to be burning regime dependent). Results from upholstered furniture scale experiments, including HRR and emission yields, are commonly used in various engineering applications; this study lends insight into the variability that can be observed for such data and the implications in applying this data in further analysis.

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Section: Introductionmentioning

confidence: 99%