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This project is applying physics-based approaches to fire scenarios. It attempts to simulate fire with unprecedented detail and in the process obtain useful application tools for end-users.
Year Type Citation
2017 Journal Article Wadhwani, R., Sutherland, D., Ooi, A., Moinuddin, K. & Thorpe, G. Verification of a Lagrangian particle model for short-range firebrand transport. Fire Safety Journal 91, 776-783 (2017).
2017 Conference Paper Sutherland, D., Moinuddin, K. & Ooi, A. Large-eddy simulation of neutral atmospheric surface layer flow over heterogeneous tree canopies. AFAC17 (Bushfire and Natural Hazards CRC, 2017).
2017 Report Moinuddin, K. & Sutherland, D. Numerical modelling of fires on forest floor and canopy fires. (Bushfire and Natural Hazards CRC, 2017).
2017 Conference Paper Wadhwani, R., Sutherland, D. & Moinuddin, K. Suitable pyrolysis model for physics-based bushfire simulation. 11th Asia-Pacific Conference on Combustion (The Combustion Institute, 2017).
2017 Journal Article Wadhwani, R., Sutherland, D., Moinuddin, K. & Joseph, P. Kinetics of pyrolysis of litter materials from pine and eucalyptus forests. Journal of Thermal Analysis and Calorimetry (2017). doi:10.1007/s10973-017-6512-0
2016 Report Moinuddin, K., Sutherland, D. & Thorpe, G. Fire spread prediction across fuel types: Annual project report 2015-2016. (Bushfire and Natural Hazards CRC, 2016).
2015 Presentation Chung, D. et al. The spread of fires in landscapes. (2015).
2013 Conference Paper Sarwar, M., Moinuddin, K. & Thorpe, G. Large Eddy Simulation of Flow over a Backward Facing Step using Fire Dynamics Simulator. The 14th Asian Congress of Fluid Mechanics (2013).

Posters credited

Next generation models for predicting the behaviour of bushfires: Challenges and prospects


Bushfires occur on a scale that may be measured in kilometers.  However, a challenge faced in developing next generation bushfire models is to capture the significant contributions that small scale phenomena make to the propagation of bushfires.   

Flow Prediction Through Canopies


A simple model of flow through a tree canopy and comparison with large-eddy simulations.

Key Topics:
Rahul Wadhwani Conference Poster 2016


Firebrands are burning pieces of litter, for example, bark, leaf, and twigs.

Duncan Sutherland Conference Poster 2016


Operational fire models rely on wind reduction factors to relate the standard meteorological measured or forecast wind speed to the flame-height wind speeds within a tree canopy.

Simulated rate-of-spread of a grassfire propagating under a tree canopy


  • Simulations of a fire entering, propagating under and leaving a tree canopy are conducted using FDS [1], a physics-based model.
  • The presence of a tree canopy effects the wind speed, which in turn effects the rate-of-spread of a fire.
  • From the simulated data we extract the average sub-canopy wind speeds in the absence of a fire and measure the rate-of-spread of a fire.
  • This is the first step to testing the wind-reduction factor approach used in current operational models.
Key Topics:

Resources credited

Type Released Title Download Key Topics
Presentation-Slideshow 08 Sep 2014 Next generation models for predicting the behaviour of bushfires PDF icon Save (1.12 MB) fire, modelling
Presentation-Slideshow 04 Dec 2014 Challenges in physics based bushfire modelling PDF icon Save (885.16 KB) fire, fire severity, modelling
Presentation-Slideshow 24 Oct 2016 Fire spread across fuel types PDF icon Save (3.44 MB) fire impacts, fuel reduction, modelling
HazardNoteEdition 25 Oct 2016 Next generation fire modelling PDF icon Save (1.35 MB) fire impacts, fire severity, fire weather
Presentation-Slideshow 07 Jul 2017 Building bushfire predictive services capability PDF icon Save (9.97 MB) fire, fire weather, modelling
Presentation-Slideshow 07 Sep 2017 Large-eddy simulation of neutral atmospheric surface layer flow over heterogeneous tree canopies PDF icon Save (885.3 KB) fire, modelling, propagation
Presentation-Slideshow 31 Oct 2017 Fire spread across fuel types PDF icon Save (1.1 MB) fire, forecasting, modelling