2001
DOI: 10.1016/s0010-2180(01)00262-0
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Experimental study of burning rate in hydrocarbon pool fires

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Cited by 189 publications
(92 citation statements)
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“…It could assume that the general tendency of the data of Koseki et al (the scaling to D 0.5 ) is due to the larger pool diameters employed. In the same time, the lower range of the pool size range investigated by Chatris et al [31] overlaps the upper range of pools in the experiments of Koseki et al [8]. The former can be clearly defined as a thin-layer boilover.…”
Section: Direct Tests Of the Explicit Scaling Estimatessupporting
confidence: 50%
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“…It could assume that the general tendency of the data of Koseki et al (the scaling to D 0.5 ) is due to the larger pool diameters employed. In the same time, the lower range of the pool size range investigated by Chatris et al [31] overlaps the upper range of pools in the experiments of Koseki et al [8]. The former can be clearly defined as a thin-layer boilover.…”
Section: Direct Tests Of the Explicit Scaling Estimatessupporting
confidence: 50%
“…6(a)). Thus, it could suggest that the heat conduction across the fuel dominates for smaller diameter pool fires and the scaling corresponds to the case B, while for D = 0.3-5 m pools the heat absorption starts to dominate and the scaling approaches the case C. The increase of pool diameter shifts the heat transfer controlling mechanism and all the data scale of Koseki et al [8] and those of Chatris et al [31] scale t D ∼ √ D, thus confirming the prediction done for the Case C (see Eq. (47b)).…”
Section: Direct Tests Of the Explicit Scaling Estimatesmentioning
confidence: 89%
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“…Previous studies [4,22,23] indicated that burning intensity is mainly determined by the heat transfer from flame to fuel surface through conduction, convection and radiation,…”
Section: Mass Lossmentioning
confidence: 99%
“…Fuel evaporation rates from large liquid pool fires have been studied for several decades (see Hottel [1959], Babrauskas [1983], Koseki [1989], Koseki and Mulholland [1991], Koseki and Iwata [2000], Chatris et al [2001], and Muñoz et al [2004]). Fuel regression rates show a dependence upon fire diameter, fuel type, and ambient conditions including temperature and wind speed.…”
Section: Introductionmentioning
confidence: 99%