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.
|2017||Journal Article||Verification of a Lagrangian particle model for short-range firebrand transport. Fire Safety Journal 91, 776-783 (2017).|
|2017||Conference Paper||Large-eddy simulation of neutral atmospheric surface layer flow over heterogeneous tree canopies. AFAC17 (Bushfire and Natural Hazards CRC, 2017).|
|2017||Report||Numerical modelling of fires on forest floor and canopy fires. (Bushfire and Natural Hazards CRC, 2017).|
|2017||Conference Paper||Suitable pyrolysis model for physics-based bushfire simulation. 11th Asia-Pacific Conference on Combustion (The Combustion Institute, 2017).|
|2017||Journal Article||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||Fire spread prediction across fuel types: Annual project report 2015-2016. (Bushfire and Natural Hazards CRC, 2016).|
|2015||Presentation||The spread of fires in landscapes. (2015).|
|2013||Conference Paper||Large Eddy Simulation of Flow over a Backward Facing Step using Fire Dynamics Simulator. The 14th Asian Congress of Fluid Mechanics (2013).|
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.
- Simulations of a fire entering, propagating under and leaving a tree canopy are conducted using FDS , 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.
|Presentation-Slideshow||08 Sep 2014||Next generation models for predicting the behaviour of bushfires||Save (1.12 MB)||fire, modelling|
|Presentation-Slideshow||04 Dec 2014||Challenges in physics based bushfire modelling||Save (885.16 KB)||fire, fire severity, modelling|
|Presentation-Slideshow||24 Oct 2016||Fire spread across fuel types||Save (3.44 MB)||fire impacts, fuel reduction, modelling|
|HazardNoteEdition||25 Oct 2016||Next generation fire modelling||Save (1.35 MB)||fire impacts, fire severity, fire weather|
|Presentation-Slideshow||07 Jul 2017||Building bushfire predictive services capability||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||Save (885.3 KB)||fire, modelling, propagation|
|Presentation-Slideshow||31 Oct 2017||Fire spread across fuel types||Save (1.1 MB)||fire, forecasting, modelling|