Predicting the time to flashover for GRP panels based on cone calorimeter test results

Xu, Qiang; Griffin, Greg; Burch, I. A.; Jiang, Yong; Preston, Chris M.; Bicknell, A. D.; Bradbury, G. P.; White, Nathan

doi:10.1007/s10973-007-8244-z

Cited by 6 publications

(6 citation statements)

References 6 publications

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“…This analysis allowed to evaluate some deficiencies of the Östman-Tsantaridis' model [11] which overpredicts the time to flashover when it exceeds 10 minutes. Both models were verified by Xu et al [13] with glass-reinforced polyester (GRP) fire behaviour by cone and ISO room tests. Some other empirical methods such as those of Babrauskas [14], McCaffrey et al [15], and the method of Thomas [16] have been developed to define the minimum heat release required for a flashover.…”

Section: Introductionmentioning

confidence: 78%

Time to flashover of a vinyl based lining material: Cone calorimeter experiments

Hristov

Cao

et al. 2011

THERM SCI

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Fire behaviour of a vinyl based lining material with and without anti-corrosion painting has been evaluated through 35 and 50kW/m2 cone calorimeter tests. The minimum heat flux requited for surface ignition was estimated. The data were compared by those provided by a revised Kokkala-Thomas’s classification index prediction model, the Östman-Tsantaridis empirical linear regression model and the Hansen-Hovde multiple discriminant function analysis (MDA). All results collected allowed to predict the material flashover time and to classify the lining material. The results illustrate some differences in the classification of the material due to different approaches of the models used

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Section: Introductionmentioning

confidence: 78%

Time to flashover of a vinyl based lining material: Cone calorimeter experiments

Hristov

Cao

et al. 2011

THERM SCI

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“…Correlations between dimensionless time to flashover and dimensionless material properties based on all the 52 materials are almost identical to Equations (7) and (8). Therefore, the calculation of time to flashover for each group with the new classification formulae based on all the 52 materials still uses the same equations (9)- (11).…”

Section: The Ttfo Model Based On 52 Materialsmentioning

confidence: 92%

“…Therefore, if a material is discriminated into FO-category 1, there is no need to estimate the time to flashover for this material. If a material is classified as other FO-categories, the time to flashover is calculated with one of the equations (9)- (11) and is bounded by the boundary values of the FO-category to which this material belongs ( Figure 5).…”

Section: Comparing the New Materials Classification With The Fo-categomentioning

confidence: 99%

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A two‐step method for predicting time to flashover in room corner test fires using cone calorimeter data

Wang

Jia

et al. 2012

Fire and Materials

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A method to predict time to flashover in ISO 9705 room corner fire tests based on cone calorimeter data is proposed in this paper. The method involves classification of materials and estimation of time to flashover as two steps in sequence. In the first step, the investigated material is classified into discriminating material groups. In the second step, the time to flashover is calculated with a derived formula for the corresponding material group, which contains material density, time to ignition and heat release rate collected from small‐scale experiments. Compared with two existing models, the proposed method has improved the prediction precisions in both the time to flashover and classification of material categories for a wide range of materials. Copyright © 2012 John Wiley & Sons, Ltd.

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“…The Ö stman/Tsantaridis model is excellent for products with a time to flashover of less than 10 min, but performs not so well for products with a time to flashover greater than 10 min. Xu et al [13] used cone calorimeter test results for glassreinforced plastic (GRP) panels to predict the time to flashover in the ISO 9705 room, which was partly covered by GRP panels. Ö stman and Tsantaridis' empirical linear regression model [12] and multiple discriminant function analysis were used in the predictions.…”

Section: Prediction Model Of Flashovermentioning

confidence: 99%

Experimental Investigations of Fire Spread and Flashover Time in Office Fires

Lai

Lin

2009

Journal of Fire Sciences

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The characteristics of, prediction models for, and experimental data pertaining to flashover in full-scale room fires were first reviewed. Then, initiation, growth, full development, and decay of three office fire scenarios were experimentally explored using a 10 MW fire test facility and continuous online combustion gas analysis. The conditions for flashover were investigated and compared with correlations in the literature. The model office compartment is an aerated lightweight concrete structure with dimensions of 5 m Â 6 m and with a net room height of 2.4-3.3 m. The results show that the measured minimum heat release rate at flashover is consistent with the correlations of Babrauskas [5] and McCaffrey et al. [6]. Based on the fundamental definition of flashover using the 'energy-filling' concept it is possible to predict the flashover time via a case-based reasoning method. However, more work is needed to further validate this concept.

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Predicting the time to flashover for GRP panels based on cone calorimeter test results

Cited by 6 publications

References 6 publications

Time to flashover of a vinyl based lining material: Cone calorimeter experiments

Time to flashover of a vinyl based lining material: Cone calorimeter experiments

A two‐step method for predicting time to flashover in room corner test fires using cone calorimeter data

Experimental Investigations of Fire Spread and Flashover Time in Office Fires

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