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  • 1 School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210014, China
  • | 2 Faculty of Wood Science and Technology, Technical University in Zvolen, 96053, Zvolen, Slovakia
  • | 3 State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230026, China
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Abstract

Correlation algorithms are used to analyse the relationship amongst heat release rate, carbon dioxide and carbon monoxide generated in cone calorimetry test of material flammability. These correlation algorithms include Pearson's correlation, Spearman's rank correlation and Kendall's rank correlation. Cone test data of seven materials are analysed. These materials are two kinds of polyvinyl chloride wall panel, glass-reinforced plastics, vinyl panel, polymethyl methacrylate, polyurethane and two types of expanded polystyrene foam. Correlation coefficients are calculated for cone calorimeter results from tests at 50 kW m−2 of these materials. The distribution of the coefficients would be used to discriminate the test materials according to the so-called FO-categories which can help to predict the time to flashover.

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