1996
DOI: 10.1016/s0379-7112(96)00044-6
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CFD and experimental studies of room fire growth on wall lining materials

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Cited by 61 publications
(25 citation statements)
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“…Thus, our model is applicable to flame spread over thermally thick and thermally thin materials. This is also true for charring materials (no moving mesh [7] or dual mesh [8] is required for the solution of the equations, and the applicability in three dimensions is an interesting advantage over 'integral type' models [2][3][4][5][6]). …”
Section: Discussion: Relation With Existing Pyrolysis Modelsmentioning
confidence: 99%
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“…Thus, our model is applicable to flame spread over thermally thick and thermally thin materials. This is also true for charring materials (no moving mesh [7] or dual mesh [8] is required for the solution of the equations, and the applicability in three dimensions is an interesting advantage over 'integral type' models [2][3][4][5][6]). …”
Section: Discussion: Relation With Existing Pyrolysis Modelsmentioning
confidence: 99%
“…Indeed, as the only heat transfer mechanism towards the virgin material is by conduction, it is inevitable that, at the moment when the formerly pyrolysing cell becomes pure char, the temperature of the neighbouring virgin cell is still below the pyrolysis temperature. This was already recognised in [8], but the problem was not really solved there. A dual mesh technique was introduced, effectively reducing the mentioned undesired phenomenon, but not solving the problem.…”
Section: Discussion: Zero-th Order Temperature Field Representationmentioning
confidence: 99%
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“…It is more difficult to predict these processes under more realistic fire conditions, which explains why the pyrolysis process is generally ignored in computational fluid dynamics (CFD) modeling and the rate of heat release (RHR) is taken as an input data [2,3]. However, considerable efforts have been expended to develop CFD-based surface flame-spread models (e.g., [4][5][6][7][8][9]). Some of them have been incorporated in widely available CFD codes such as FDS [5], SMARTFIRE [6], SMAFS [7], and SOFIE [9].…”
Section: Introductionmentioning
confidence: 99%