A Probabilistic Approach to Wood Charring Rate

Jukka Hietaniemi

Research output: Book/ReportReport

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.
Original languageEnglish
Place of PublicationEspoo
PublisherVTT Technical Research Centre of Finland
Number of pages54
ISBN (Electronic)951-38-6583-5
Publication statusPublished - 2005
MoE publication typeNot Eligible

Publication series

SeriesVTT Working Papers
Number31

Fingerprint

Wood
Fires
Structural members
Bearings (structural)
Fire resistance
Heat flux
Durability
Moisture
Oxygen

Keywords

  • construction materials
  • wood charring
  • charring rate
  • charring depth
  • probabilistic methods
  • Monte Carlo
  • fire resistance
  • beams
  • glulam
  • fire simulation
  • cone calorimeters
  • standards
  • ISO 834

Cite this

Hietaniemi, J. (2005). A Probabilistic Approach to Wood Charring Rate. Espoo: VTT Technical Research Centre of Finland. VTT Working Papers, No. 31
Hietaniemi, Jukka. / A Probabilistic Approach to Wood Charring Rate. Espoo : VTT Technical Research Centre of Finland, 2005. 54 p. (VTT Working Papers; No. 31).
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keywords = "construction materials, wood charring, charring rate, charring depth, probabilistic methods, Monte Carlo, fire resistance, beams, glulam, fire simulation, cone calorimeters, standards, ISO 834",
author = "Jukka Hietaniemi",
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Hietaniemi, J 2005, A Probabilistic Approach to Wood Charring Rate. VTT Working Papers, no. 31, VTT Technical Research Centre of Finland, Espoo.

A Probabilistic Approach to Wood Charring Rate. / Hietaniemi, Jukka.

Espoo : VTT Technical Research Centre of Finland, 2005. 54 p. (VTT Working Papers; No. 31).

Research output: Book/ReportReport

TY - BOOK

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AB - 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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KW - cone calorimeters

KW - standards

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Hietaniemi J. A Probabilistic Approach to Wood Charring Rate. Espoo: VTT Technical Research Centre of Finland, 2005. 54 p. (VTT Working Papers; No. 31).