- 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