@article {bnh-8374, title = {Firebrand transport from a novel firebrand generator: numerical simulation of laboratory experiments}, journal = {International Journal of Wildland Fire}, volume = {31}, year = {2022}, month = {05/2022}, chapter = {634}, abstract = {
Firebrands (often called embers) increase the propagation rate of wildfires and often cause the ignition and destruction of houses. Predicting the motion of firebrands and the ignition of new fires is therefore of significant interest to fire authorities. Numerical models have the potential to accurately predict firebrand transport. The present study focuses on conducting a set of benchmark experiments using a novel firebrand generator, a device that produces controlled and repeatable sets of firebrands, and validating a numerical model for firebrand transport against this set of experiments. The validation is conducted for the transport of non-burning and burning cubiform firebrand particles at two flow speeds. Four generic drag sub-models used to estimate drag coefficients that are suited for a wide variety of firebrand shapes are verified for their applicability to firebrand transport modelling. The four sub-models are found to be good in various degrees at predicting the transport of firebrand particles.
}, keywords = {contour, contour peak location, drag models, embers, fire dynamics simulator, firebrand generator, Lagrangian particles, lateral spread, short-range firebrands}, doi = {https://doi.org/10.1071/WF21088}, url = {https://www.publish.csiro.au/wf/Fulltext/WF21088}, author = {Rahul Wadhwani and Duncan Sutherland and A Ooi and Khalid Moinuddin} } @article {bnh-8373, title = {A review of firebrand studies on generation and transport}, journal = {Fire Safety Journal}, volume = {134}, year = {2022}, month = {09/2022}, abstract = {Firebrands play a vital role in the propagation of fire by starting new fires called spotfires, ahead of the fire front during wildfire progression. Firebrands are a harbinger of damage to infrastructure; their effects particularly pose a threat to people living within the wildland-urban-interface, they can hamper the suppression of wildfire and block evacuation routes for communities and emergency services. Short-range firebrands which travel along with the wind, with little or no lofting, are particularly crucial in increasing fire front propagation and damaging structures situated close to the wildland-urban interface. In the Daylesford fire of 1962 in Australia, massive short-range spotting (the process of spot fire ignition and merging of spots caused by firebrands) occurred in the eucalyptus forest and increased the rate of fire spread by roughly three times more than that computed using an operational fire model. Similarly, long-range firebrands can be transported by the fire plume and ambient wind and can ignite new fire up to 30{\textendash}40\ km from the source of fire as observed in the 2009 Black Saturday fire in Australia.
A large amount of experimental research has been conducted to quantify the effects of firebrands, to develop empirical models and to benchmark results for\ Computational Fluid Dynamic\ (CFD) based fire model validations. In recent years, some CFD models have been studied primarily for their validation purposes. These studies have been reviewed here. To perform useful\ parametric studies\ of firebrand transport using CFD models as well as further development of CFD models, more targeted studies need to be conducted.
}, keywords = {firebrand generator, Firebrand spotting, Firebrand transport, wildfires}, doi = {https://doi.org/10.1016/j.firesaf.2022.103674}, url = {https://www.sciencedirect.com/science/article/pii/S0379711222001515}, author = {Rahul Wadhwani and Catherine Sullivan and Amila Wickramasinghe and Matthew Kyng and Nazmul Khan and Khalid Moinuddin} } @conference {bnh-8333, title = {Improvement of drag model for non-burning firebrand transport in Fire Dynamics Simulator }, booktitle = {24th International Congress on Modelling and Simulation}, year = {2021}, month = {12/2021}, address = {Sydney, NSW}, abstract = {Firebrands play a crucial role in increasing the severity of wildfires by driving fire growth, damaging structures, and starting new fires. Predicting the transport of firebrands and their propensity to ignite new fires is of significant interest to fire communities. Developing an operational firebrand transport sub-model from the field studies is cumbersome, expensive, and has significant associated risks to equipment, community and firefighters. Physics-based models have the potential to assist in the development of such firebrand transport sub-models which can be utilised to improve the efficacy of existing operational fire models. The present study showcases one of the initial works carried out in the development of such a physics-based firebrand model. The work utilises Fire Dynamics Simulator (FDS), a commonly used open-source physicsbased fire model. The Lagrangian particle sub-model of FDS is used to simulate the transport of firebrand particles. The Lagrangian sub-model is generally used to model the transport of droplets and mist and has been extensively validated. However, the validation of this sub-model for the transport of solid particles such as firebrands is limited. The issue is exacerbated when particles are of a non-spherical shape and can undergo complex reactions over their transport such as burning. In this work, we utilise a firebrand generator prototype that produces a uniform Lagrangian shower of nonburning idealised firebrands. A set of in-house experiments are conducted to study the transport of three isometric shapes of non-burning firebrands i.e. cubiform, cylindrical and square-disc. These sets of experiments are used to quantify the efficacy of the inbuilt particle drag model of FDS and suggest potential alternative drag models that can be employed without loss of computational speed, major amendment in the fire model, are applicable to a wide range of particles shapes, and potentially improved prediction. In general, it is found that the suggested alternative Haider and Levenspiel drag model improves the estimation of firebrand distribution in terms of peak location, maximum and minimum longitudinal distribution with exception to cubiform particles for peak location. The exception is mainly due to inherent error association with the alternative drag model in overestimating the drag coefficient. For other situations, Haider and Levenspiel drag model shows either an improvement or stays the same. However, the study found that the existing point particle assumption to represent particles in FDS is not suited to estimate the lateral spread of firebrands especially when the secondary motion of a particle on its axis is involved such as cylindrical and square-disc particles. Our studies found, the lateral spread is found to be in the range of ~5-15\% thinner compared to its experimental width for cylindrical particle distribution. For the square disc, it is not possible to quantify such differences due to the computational limit associated with our present study. It can be qualitatively suggested that it is found to be more than cylindrical particles. A further set of experiments and their numerical validation is required to ascertain the above finding, especially with different sizes, isometric and non-isometric shape, the speed of firebrand particles and burning process to establish the efficacy of a particular drag model for firebrand transport.
}, keywords = {drag models, Fire Dynamics Simulator (FDS), firebrand generator, firebrand particles, Lagrangian particle}, url = {https://www.researchgate.net/profile/Rahul-Wadhwani/publication/356914453_Improvement_of_drag_model_for_non-burning_firebrand_transport_in_Fire_Dynamics_Simulator/links/61c2c9e28bb20101842b52be/Improvement-of-drag-model-for-non-burning-firebrand-transport}, author = {Rahul Wadhwani and Duncan Sutherland and Graham Thorpe and Khalid Moinuddin} }