Simulation study of grass fire using a physics-based model: striving towards numerical rigour and the effect of grass height on the rate of spread
K. A. M. Moinuddin A B E , D. Sutherland A B and W. Mell DA Centre for Environmental Safety and Risk Engineering, Victoria University, Melbourne 8001, Vic., Australia.
B Bushfire and Natural Hazards Cooperative Research Centre, 340 Albert Street, East Melbourne, Vic., Australia.
C Department of Mechanical Engineering, University of Melbourne, Parkville 3010, Vic., Australia.
D US Forest Service, Pacific Wildland Fire Sciences Laboratory, Seattle, WA 98103, USA.
E Corresponding author. Email: khalid.moinuddin@vu.edu.au
International Journal of Wildland Fire 27(12) 800-814 https://doi.org/10.1071/WF17126
Submitted: 21 August 2017 Accepted: 25 September 2018 Published: 2 November 2018
Abstract
Grid-independent rate of spread results from a physics-based simulation are presented. Previously, such a numerical benchmark has been elusive owing to computational restrictions. The grid-converged results are used to systematically construct correlations between the rate of spread (RoS) and both wind speed and grass height, separately. The RoS obtained from the physics-based model is found to be linear with wind speed in the parameter range considered. When wind speed is varied, the physics-based model predicts faster RoS than the Mk III and V (McArthur) models (Noble et al. 1980) but slower than the CSIRO model (Cheney et al. 1998). When the grass height is varied keeping the bulk density constant, the fire front changes from a boundary layer flame mode to plume flame mode as the grass height increases. Once the fires are in plume mode, a higher grass height results in a larger heat release rate of the fire but a slower RoS.
Additional keywords: atmospheric boundary layer, operational model, physics-based modelling, wildland fire, wind speed.
References
AbuBakar AS (2016) Characterization of fire properties for coupled pyrolysis and combustion simulation and their optimised use. PhD thesis, Victoria University, Melbourne, Australia. Available at http://vuir.vu.edu.au/31007/ [Verified 12 October 2018]Apte V, Bilger R, Green A, Quintiere J (1991) Wind-aided turbulent flame spread and burning over large-scale horizontal PMMA surfaces. Combustion and Flame 85, 169–184.
| Wind-aided turbulent flame spread and burning over large-scale horizontal PMMA surfaces.Crossref | GoogleScholarGoogle Scholar |
Bou‐Zeid E, Meneveau C, Parlange MB (2004) Large‐eddy simulation of neutral atmospheric boundary layer flow over heterogeneous surfaces: blending height and effective surface roughness. Water Resources Research 40, W02505.
| Large‐eddy simulation of neutral atmospheric boundary layer flow over heterogeneous surfaces: blending height and effective surface roughness.Crossref | GoogleScholarGoogle Scholar |
Bureau of Meteorology (2009) Bushfires in Victoria, 7–8 February 2009. Available from: http://www.bom.gov.au/vic/sevwx/fire/20090207/20090207_bushfire.shtml [Verified 12 April 2018].
Bureau of Transport Economics (2001) Economic costs of natural disasters in Australia. Bureau of Transport Economics Report 103, January 2001, pp. iii–170. (Canberra, Australia)
Byram GM (1959) Forest fire behavior. Forest Fire: Control and Use. (Ed. KP Davis) (McGraw-Hill: New York).
Cheney N, Gould J, Catchpole WR (1993) The influence of fuel, weather and fire shape variables on fire-spread in grasslands. International Journal of Wildland Fire 3, 31–44.
| The influence of fuel, weather and fire shape variables on fire-spread in grasslands.Crossref | GoogleScholarGoogle Scholar |
Cheney N, Gould J, Catchpole WR (1998) Prediction of fire spread in grasslands. International Journal of Wildland Fire 8, 1–13.
| Prediction of fire spread in grasslands.Crossref | GoogleScholarGoogle Scholar |
Chong D, Tolhurst K, Duff T (2012) PHOENIX RapidFire 4.0 convection and ember dispersal model. (Bushfire CRC: Melbourne, Vic., Australia). Available at http://www.bushfirecrc.com/sites/default/files/phoenix_4_convection_and_spotting.pdf [Verified 12 April 2018].
Cruz MG, Andrew S, Susan K, Richard H, David N (2016) The effect of grass curing and fuel structure on fire behaviour: final report. CSIRO Report no. EP166414. (Canberra, Australia) Available at https://publications.csiro.au/rpr/download?pid=csiro:EP166414&dsid=DS1 [Verified 12 April 2018]
Dold J (2011) Fire spread near the attached and separated flow transition, including surge and stall behaviour. In ‘Proceedings of the 19th International Congress on Modelling and Simulation’, 12–16 December 2011, Perth. pp. 200–206.
Harman IN, Finnigan JJ (2007) A simple unified theory for flow in the canopy and roughness sublayer. Boundary-Layer Meteorology 123, 339–363.
| A simple unified theory for flow in the canopy and roughness sublayer.Crossref | GoogleScholarGoogle Scholar |
Linn RR, Canfield JM, Cunningham P, Edminster C, Dupuy JL, Pimont F (2012) Using periodic line fires to gain a new perspective on multidimensional aspects of forward fire spread. Agricultural and Forest Meteorology 157, 60–76.
| Using periodic line fires to gain a new perspective on multidimensional aspects of forward fire spread.Crossref | GoogleScholarGoogle Scholar |
McArthur AG (1967) ‘Fire behaviour in eucalypt forests.’ (Forestry and Timber Bureau: Canberra)
McDermott RJ (2014) A velocity divergence constraint for large-eddy simulation of low-Mach flows. Journal of Computational Physics 274, 413–431.
| A velocity divergence constraint for large-eddy simulation of low-Mach flows.Crossref | GoogleScholarGoogle Scholar |
McGrattan KB, Hostikka S, McDermott RJ, Weinschenk C, Forney GP (2013) ‘Fire dynamics simulator, user’s guide’, 6th edn. NIST Special Publication 1019. (U.S. Department of Commerce: Maryland)
McGrattan KB, Hostikka S, McDermott RJ, Floyd J, Weinschenk C, Overholt K (2015) ‘Fire Dynamics Simulator – technical reference guide volume 1: Mathematical model. FDS Version 6.2.0 edn.’ (U.S. Department of Commerce: Maryland)
McGrattan KB, Hostikka S, McDermott RJ, Floyd J, Vanella M, Weinschenk CG, Overholt K (2017) ‘Fire Dynamics Simulator, technical reference guide volume 3: Validation, 6th edn.’ NIST Special Publication 1018–3. (U.S. Department of Commerce: Maryland)
Mell W, Jenkins MA, Gould J, Cheney P (2007) A physics-based approach to modelling grassland fires. International Journal of Wildland Fire 16, 1–22.
| A physics-based approach to modelling grassland fires.Crossref | GoogleScholarGoogle Scholar |
Mell W, Maranghides A, McDermott R, Manzello SL (2009) Numerical simulation and experiments of burning Douglas fir trees. Combustion and Flame 156, 2023–2041.
| Numerical simulation and experiments of burning Douglas fir trees.Crossref | GoogleScholarGoogle Scholar |
Miller C, Hilton J, Sullivan A, Prakash M (2015) SPARK – A bushfire spread prediction tool. In ‘International Symposium on Environmental Software Systems’, 25–27 March 2015, Melbourne. pp. 262–271. (Springer: Cham, Switzerland)
Moinuddin K, Thomas IR (2009) An experimental study of fire development in deep enclosures and a new HRR–time–position model for a deep enclosure based on ventilation factor. Fire and Materials 33, 157–185.
| An experimental study of fire development in deep enclosures and a new HRR–time–position model for a deep enclosure based on ventilation factor.Crossref | GoogleScholarGoogle Scholar |
Moinuddin K, Al-Menhali JS, Prasannan K, Thomas IR (2011) Rise in structural steel temperatures during ISO9705 room fires. Fire Safety Journal 46, 480–496.
| Rise in structural steel temperatures during ISO9705 room fires.Crossref | GoogleScholarGoogle Scholar |
Morvan D (2011) Physical phenomena and length scales governing the behaviour of wildfires: a case for physical modelling. Fire Technology 47, 437–460.
| Physical phenomena and length scales governing the behaviour of wildfires: a case for physical modelling.Crossref | GoogleScholarGoogle Scholar |
Morvan D (2014) Wind effects, unsteady behaviors, and regimes of propagation of surface fires in open field. Combustion Science and Technology 186, 869–888.
| Wind effects, unsteady behaviors, and regimes of propagation of surface fires in open field.Crossref | GoogleScholarGoogle Scholar |
Morvan D, Dupuy J (2001) Modeling of fire spread through a forest fuel bed using a multiphase formulation. Combustion and Flame 127, 1981–1994.
| Modeling of fire spread through a forest fuel bed using a multiphase formulation.Crossref | GoogleScholarGoogle Scholar |
Morvan D, Dupuy J (2004) Modeling the propagation of a wildfire through a Mediterranean shrub using a multiphase formulation. Combustion and Flame 138, 199–210.
| Modeling the propagation of a wildfire through a Mediterranean shrub using a multiphase formulation.Crossref | GoogleScholarGoogle Scholar |
Morvan D, Méradji S, Accary G (2009) Physical modelling of fire spread in grasslands Fire Safety Journal 44, 50–61.
| Physical modelling of fire spread in grasslandsCrossref | GoogleScholarGoogle Scholar |
Morvan D, Méradji S, Mell W (2013) Interaction between head fire and backfire in grasslands. Fire Safety Journal 58, 195–203.
| Interaction between head fire and backfire in grasslands.Crossref | GoogleScholarGoogle Scholar |
Noble I, Gill A, Bary G (1980) McArthur’s fire‐danger meters expressed as equations. Australian Journal of Ecology 5, 201–203.
| McArthur’s fire‐danger meters expressed as equations.Crossref | GoogleScholarGoogle Scholar |
Overholt K, Cabrera J, Kurzawski A, Koopersmith M, Ezekoye OA (2014) Characterization of fuel properties and fire spread rates for little bluestem grass. Fire Technology 2014, 9–38.
Parliament of New South Wales (2009) Victorian Bushfires – condolence motion, March 2009. http://www.parliament.nsw.gov.au/prod/parlment/hansart.nsf/v3key/la20090313005 [Verified 12 December 2010]
Perez-Ramirez Y, Mell WE, Santoni PA, Tramoni JB, Bosseur F (2017) Examination of WFDS in modeling spreading fires in a furniture calorimeter. Fire Technology 53, 1795–1832.
| Examination of WFDS in modeling spreading fires in a furniture calorimeter.Crossref | GoogleScholarGoogle Scholar |
Pope SB (2001) ‘Turbulent flows.’ (IOP Publishing: Cambridge)
Porterie B, Consalvi JL, Kaiss A, Loraud JC (2005) Predicting wildland fire behavior and emissions using a fine-scale physical model. Numerical Heat Transfer, Part A: Applications 47, 571–591.
| Predicting wildland fire behavior and emissions using a fine-scale physical model.Crossref | GoogleScholarGoogle Scholar |
Sharples JJ (2017) A unified approach to fire spread modelling. In ‘Proceedings of Bushfire and Natural Hazards CRC & AFAC annual conference 2017’, 4–6 September 2017, Sydney, Australia. pp. 201–205. (Bushfire and Natural Hazard CRC, Sydney)
Su Z, Schmugge T, Kustas WP, Massman WJ (2001) An evaluation of two models for estimation of the roughness height for heat transfer between the land surface and the atmosphere. Journal of Applied Meteorology 40, 1933–1951.
| An evaluation of two models for estimation of the roughness height for heat transfer between the land surface and the atmosphere.Crossref | GoogleScholarGoogle Scholar |
Sutton OG (1953) ‘Micrometeorology: a study of physical processes in the lowest layers of the Earth’s atmosphere.’ (McGraw-Hill: New York, NY, USA)
Wadhwani R, Sutherland D, Moinuddin KAM, Joseph P (2017a) Kinetics of pyrolysis of litter materials from pine and eucalyptus forests. Journal of Thermal Analysis and Calorimetry 130, 2035–2046.
| Kinetics of pyrolysis of litter materials from pine and eucalyptus forests.Crossref | GoogleScholarGoogle Scholar |
Wadhwani R, Sutherland D, Moinuddin K (2017b) Suitable pyrolysis model for physics-based bushfire simulation. In ‘Proceedings of 11th Asia–Pacific Conference on Combustion’, 10–14 December 2017, Sydney, Australia. pp. 582–585. (The Combustion Institute: Australian and New Zealand section, Sydney)