Experimental and numerical investigation of burning characteristics of Australian pine trees for wildfire modelling

Crown fires, which spread rapidly and with high intensity, present a significant challenge in wildfire management, particularly in wildland–urban interface (WUI) areas. A fundamental aspect of understanding crown fire behaviour is the combustion dynamics of individual trees, which serve as building blocks for larger-scale fire spread. This study aims to investigate the burning characteristics of Australian pine trees through both experimental and numerical methods, focusing on heat release rate (HRR), mass loss rate (MLR), total mass loss (ML), and heat flux. Experimental measurements were obtained by burning Australian pine trees under a 1.5 MW calorimeter hood, with key thermal parameters recorded. These results were compared to similar data from other tree species. A fully physics-based model was validated against experimental results. Two approaches for defining the heat of combustion in the physical simulations were explored: one based on reaction properties and the other on material properties. The study found that both approaches could effectively reproduce HRR, MLR, and ML, though discrepancies were noted in heat flux predictions due to assumptions regarding vegetation distribution. Notably, this research represents the first experimental-numerical comparison of HRR data for any tree combustion and provides a valuable contribution to understanding fire dynamics. The findings have important implications for enhancing wildfire prediction models and improving fire safety strategies in the WUI. • First study comparing experimental and numerical HRR for pine tree combustion. • Australian pine tree burning studied under a 1.5 MW calorimeter hood. • Physics-based simulations reproduced HRR, MLR, and ML trends. • Effects of tree geometry, ignition, and fuel moisture content were tested. • Results support improved wildfire prediction in wildland–urban interface areas.

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Publication Details

Journal
Fire Safety Journal
Published
2025-08-18
DOI
https://doi.org/10.1016/j.firesaf.2025.104500
Citations
4
Primary Topic
Fire effects on ecosystems
Type
article
Field-Weighted Citation Impact
4.42
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article

Experimental and numerical investigation of burning characteristics of Australian pine trees for wildfire modelling

Khalid Moinuddin, Siddharth Gupta, Malavika Arun, Mohamed Sharaf et al.
4 citations
Fire Safety Journal
Fire effects on ecosystems
4.42
article

Experimental and numerical investigation of burning characteristics of Australian pine trees for wildfire modelling

Khalid Moinuddin, Siddharth Gupta, Malavika Arun, Mohamed Sharaf, Maurice Guerrierri
article en
4 citations

Abstract

Crown fires, which spread rapidly and with high intensity, present a significant challenge in wildfire management, particularly in wildland–urban interface (WUI) areas. A fundamental aspect of understanding crown fire behaviour is the combustion dynamics of individual trees, which serve as building blocks for larger-scale fire spread. This study aims to investigate the burning characteristics of Australian pine trees through both experimental and numerical methods, focusing on heat release rate (HRR), mass loss rate (MLR), total mass loss (ML), and heat flux. Experimental measurements were obtained by burning Australian pine trees under a 1.5 MW calorimeter hood, with key thermal parameters recorded. These results were compared to similar data from other tree species. A fully physics-based model was validated against experimental results. Two approaches for defining the heat of combustion in the physical simulations were explored: one based on reaction properties and the other on material properties. The study found that both approaches could effectively reproduce HRR, MLR, and ML, though discrepancies were noted in heat flux predictions due to assumptions regarding vegetation distribution. Notably, this research represents the first experimental-numerical comparison of HRR data for any tree combustion and provides a valuable contribution to understanding fire dynamics. The findings have important implications for enhancing wildfire prediction models and improving fire safety strategies in the WUI. • First study comparing experimental and numerical HRR for pine tree combustion. • Australian pine tree burning studied under a 1.5 MW calorimeter hood. • Physics-based simulations reproduced HRR, MLR, and ML trends. • Effects of tree geometry, ignition, and fuel moisture content were tested. • Results support improved wildfire prediction in wildland–urban interface areas.

Fire Safety JournalVol. 157
Benha University (EG), Victoria University (AU)
Openalex Percentile: Top 5%
Fire effects on ecosystems
4.42
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