- Author
- Steen-Hansen, A. | Kristoffersen, B.
- Title
- Prediction of Fire Classification for Wood Based Products. A Multivariate Statistical Approach Based on the Cone Calorimeter.
- Coporate
- Norwegian University of Science and Technology (NTNU), NO-7491 Trondheim, Norway
- Journal
- Fire and Materials, Vol. 31, No. 3, 207-223, April/May 2007
- Keywords
- wood | classification | cone calorimeters | fire behavior | statisticsl analysis | data sets | equations | smoke | sensitivity analysis | classification
- Identifiers
- reaction to fire; Single Burning Item (SBI); prediction model; ultivariate statistics; description of the 24 analysed wood based products; distribution of SBI classifications among the 186 analysed cone calorimeter tests; Euroclassification; option in the SPSS statistical software; results from prediction of Euroclass based on 184 cone calorimeter tests of 24 different wood products, using the statistical model; mean value and standard deviation calculated from cone calorimeter test results; factors affecting predictability