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Dimensional Analysis on Forest Fuel Bed Fire Spread
1Fire Research Division, Engineering Laboratory, National Institute of Standards and Technology, Gaithersburg, Maryland 20899 U.S.A.
Summary
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.
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.
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