Numerical study of piloted ignition of forest fuel layer

Consalvi, Jean-Louis; Nmira, Fatiha; Fuentes, A.; Mindykowski, Pierrick; Porterie, B.

doi:10.1016/j.proci.2010.06.025

Cited by 17 publications

(12 citation statements)

References 21 publications

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“…Values for C, m , and n were proposed by Žukauskas [60] ( C == 1.04; m == 0.4; n == 0.36), Colburn [38] ( C == 0.33; m == 0.6; n == 1/3), Incropera and De-Witt [38] ( C == 0.683; m == 0.466; n == 1/3), and others [61] for flow across banks of staggered tubes, for 10 or more rows of tubes and for different Reynolds regimes. All the cited correlations are widely applied in studies that are using the multiphase approach [36,37,51,53] , but there are no indications on which ones are more suitable.…”

Section: Convective Heat Transfermentioning

confidence: 99%

“…However, the multiphase formulation is usually applied to simulate large-scale wildfires under complex conditions without thoroughly pre-validating or verifying if the selected submodels (i.e. the closure models) are well adapted to the fuel conditions and to the surrounding environment in which they are used, and if they allow the relevant physics to be captured [15,[34][35][36][37] . For instance, degradation rates are provided from TGA analysis at a much smaller scale (microscopic) than reality [15] , and drag coefficients are derived from wind tunnel tests for simple geometries at ambient temperatures [38] .…”

Section: Introductionmentioning

confidence: 99%

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Framework for submodel improvement in wildfire modeling

Houssami

Lamorlette

Morvan

et al. 2018

Combustion and Flame

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Section: Convective Heat Transfermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Framework for submodel improvement in wildfire modeling

Houssami

Lamorlette

Morvan

et al. 2018

Combustion and Flame

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show abstract

“…Most of the previous studies focused only on the kindled ignition of woods. [2][3][4][5][6][7] Although the kindled ignition is very common, it is not instrumented to account for flow effects, in-depth radiation effects, and ambiguities resulting from the emission spectral characteristics of the material and the heat flux source. 8 Much work has been done focusing on the influence of moisture to ignition properties of wood samples by kindled ignition.…”

Section: Introductionmentioning

confidence: 99%

Influence of moisture on autoignition of woods in cone calorimeter

Shi

Chew

2012

Journal of Fire Sciences

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Six species of wood samples, namely, pine, beech, cherry, oak, maple, and ash, were investigated by autoignition in a cone calorimeter to identify the influence of moisture on autoignition. It was observed that (1) for autoignition, as different from piloted ignition, there is no obvious trend in ignition temperature when moisture content increases from 0% to 11%; (2) ignition temperature decreases with a higher external heat flux, and the influence of specimen thickness to the ignition temperature can be ignored; (3) ignition time correlates linearly with r 0:73 =(_ q 00 À 28:0) 1:82 , and the coefficient rises with the increase of moisture content; and (4) the influence of moisture to the average mass loss rate and time at 50% mass loss can be ignored if the moisture content of wood sample is lower than 11%.

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“…When taking into consideration that a longer heating process results in an increase of ignition mass loss and ignition delay [53] it can be expected that larger differences in ignition delay will result in larger differences in masses still available for combustion at the moment of ignition. Thus, in cases where ID is relatively long and significantly different FRT might be distorted as a measure of sustainability and capture a portion of ignitability as well.…”

Section: Resultsmentioning

confidence: 99%

Testing Vegetation Flammability: The Problem of Extremely Low Ignition Frequency and Overall Flammability Score

Kauf

Fangmeier

Rosavec

et al. 2014

Journal of Combustion

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In the recent decades changes in fire regimes led to higher vulnerability of fire prone ecosystems, with vegetation being the only component influencing fire regime which can be managed in order to reduce probability of extreme fire events. For these management practices to be effective reliable information on the vegetation flammability is being crucial. Epiradiator based testing methods are one of the methods commonly used to investigate vegetation flammability and decrease in ignition frequency is always interpreted as a decrease in flammability. Furthermore, gathered information is often combined into a single flammability score. Here we present results of leaf litter testing which, together with previously conducted research on similar materials, show that material with very low ignition frequency under certain testing conditions can be extremely flammable if testing conditions are slightly changed. Additionally, our results indicate that combining measured information into one single flammability score, even though sometimes useful, is not always meaningful and should be performed with caution.

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Numerical study of piloted ignition of forest fuel layer

Cited by 17 publications

References 21 publications

Framework for submodel improvement in wildfire modeling

Framework for submodel improvement in wildfire modeling

Influence of moisture on autoignition of woods in cone calorimeter

Testing Vegetation Flammability: The Problem of Extremely Low Ignition Frequency and Overall Flammability Score

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