Modelling of tree fires and fires transitioning from the forest floor to the canopy with a physics-based model

Abstract Wildland fires can take different forms such as surface fire or an elevated crown fire or combination of both. Crown fires are normally originated from surface fires spreading either along the bark of the tree trunks or direct flame contact to low branches with leaves and needles. In the past, surface fire (grassfire) spread simulations were conducted using physics-based models with fidelity. Here, we firstly seek numerically converged results for the burning of a single tree. Previously, numerical convergence for such physics-based fire simulations has been elusive. Subsequently, the linear and Arrhenius thermal degradation sub-models are appraised. For both thermal degradation sub-models grid convergence of the mass-loss rate is achieved with a 50 mm grid. The grid converged simulations also agree with experimental results of a single burning Douglas fir tree. A fire in a modelled tree plantation is then simulated using the linear thermal degradation sub-model. The aim of this part is twofold: one to demonstrate a good modelling practice; and secondly to assess the model capability to simulate transitioning from a forest floor fire to a crown fire leading to a quasi-steady rate of spread. The Kolmogorov–Smirnov test is used to rigorously demonstrate that the simulations on different grid and domain sizes have converged — that is, the results have become independent of the numerical parameters imposed upon the simulation. A physics-based model reproduces many observed features of surface fire to forest fire transition. The crown fire propagates with a quasi-steady rate-of-spread after an initial development period. Analysis of the volumetric heat release rate shows that a surface fire propagates under the crown fire and supplies energy to support the burning of the crown. Overall many features are qualitatively in agreement with other tree and crown fire studies.

[1]  W. Mell,et al.  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 , 2018 .

[2]  A. Simeoni,et al.  Clarifying the meaning of mantras in wildland fire behaviour modelling: reply to Cruz et al. (2017) , 2018 .

[3]  Khalid Moinuddin,et al.  An experimental study of fire development in deep enclosures and a new HRR–time–position model for a deep enclosure based on ventilation factor , 2009 .

[4]  Samuel L. Manzello,et al.  Numerical simulation and experiments of burning douglas fir trees , 2009 .

[5]  Khalid Moinuddin,et al.  Rise in structural steel temperatures during ISO 9705 room fires , 2011 .

[6]  Khalid A. M. Moinuddin,et al.  Experimental investigation of effects of variation in heating rate, temperature and heat flux on fire properties of a non-charring polymer , 2018, Journal of Thermal Analysis and Calorimetry.

[7]  J. Wolfowitz,et al.  Introduction to the Theory of Statistics. , 1951 .

[8]  Dominique Morvan,et al.  Modeling the propagation of a wildfire through a Mediterranean shrub using a multiphase formulation , 2004 .

[9]  Khalid Moinuddin,et al.  Numerical Modelling of Fire Spread in Landscapes , 2010 .

[10]  K. Moinuddin,et al.  Physics based modelling of tree fires and fires transitioning from the forest floor to the canopy , 2017 .

[11]  Dominique Morvan,et al.  Numerical study of a crown fire spreading toward a fuel break using a multiphase physical model. , 2005 .

[12]  W.R. Anderson,et al.  Fire behaviour modelling in semi-arid mallee-heath shrublands of southern Australia , 2013, Environ. Model. Softw..

[13]  Philip Cunningham,et al.  Using periodic line fires to gain a new perspective on multi-dimensional aspects of forward fire spread , 2012 .

[14]  W. Mell,et al.  A physics-based approach to modelling grassland fires , 2007 .

[15]  M. Cleary,et al.  On linking the filter width to the boundary layer thickness in explicitly filtered large eddy simulations of wall bounded flows , 2017 .

[16]  K. Moinuddin,et al.  Suitable pyrolysis model for physics-based bushfire simulation , 2017 .