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Dimensional Analysis on Forest Fuel Bed Fire Spread.

Jiann C Yang1

  • 1Fire Research Division, Engineering Laboratory, National Institute of Standards and Technology, Gaithersburg, Maryland 20899 U.S.A.

Canadian Journal of Forest Research. Journal Canadien De La Recherche Forestiere
|May 4, 2018
PubMed
Summary
This summary is machine-generated.

This study correlates fuel bed fire rate of spread data using dimensional analysis. Dimensionless groups effectively predict fire spread under both wind and no-wind conditions, despite parameter uncertainties.

Keywords:
data correlationdimensional analysisflame spreadforest fuelwildfires

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Area of Science:

  • Fire Science
  • Combustion Research
  • Wildland Fire Dynamics

Background:

  • Fuel bed fire spread is a critical factor in wildfire behavior and risk assessment.
  • Existing literature presents diverse data on fire spread rates, necessitating a unified correlation approach.

Purpose of the Study:

  • To perform a dimensional analysis correlating fuel bed fire rate of spread data.
  • To identify key dimensionless groups influencing fire spread under varying wind conditions.

Main Methods:

  • Dimensional analysis applied to existing fuel bed fire spread literature data.
  • Identification of dimensionless groups for wind and no-wind conditions.
  • Development of dimensionless correlations for fire rate of spread.

Main Results:

  • Six dimensionless groups identified under wind conditions: fire spread rate, fuel particle size, moisture content, fuel bed depth/loading density, wind speed, and inclination angle.
  • Five dimensionless groups identified under no-wind conditions.
  • Dimensionless correlations demonstrated reasonable predictive capability for fire rates of spread.

Conclusions:

  • Dimensional analysis provides a robust framework for correlating fuel bed fire spread data.
  • The identified dimensionless groups offer a simplified yet effective method for predicting fire spread under different environmental conditions.