A Probabilistic Approach to Wood Charring Rate
Year of publication
2005
Authors
Hietaniemi, Jukka
Abstract
This report presents a probabilistic model for wood charring rate and an application of the model to assess fire resistance of a wooden load-bearing beam. The model is an empical one, based on quantification of the dependence of the wood charring rate on the principal physical factors governing the charring process. These factors include the influence of the heat flux exposing the wood surface, the wood density and moisture content as well as the ambient oxygen concentration. The application introduces a novel approach to assess the endurance of a wooden structural member in a natural fire conditions, which uses probabilistic fire simulation to quantify the heat exposure and the char depth of the structural member. The principal result of the approach is the time evolution of the conditional failure probability of failure of the structural wooden member, which can be further elaborated by incorporating into the analysis the statistical and modelling results determining the frequency of the conditioning factor, i.e., the occurrence of a fire with sufficient severity to potentially compromise the structural safety.
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Publication type
Publication format
Monograph
Audience
Professional
MINEDU's publication type classification code
D4 Published development or research report or study
Publication channel information
Journal/Series
VTT Working Papers
Publisher
VTT Technical Research Centre of Finland
Issue
31
ISSN
ISBN
Open access
Open access in the publisher’s service
Yes
License of the publisher’s version
Other license
Self-archived
No
Other information
Keywords
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Language
English
International co-publication
No
Co-publication with a company
No
The publication is included in the Ministry of Education and Culture’s Publication data collection
No