Predicting the fire spread rate of a sloped pine needle board utilizing pyrolysis modelling with detailed gas-phase combustion
journal contribution
posted on 2024-11-02, 07:06 authored by Timothy Chen, Anthony Yuen, Chunguang Wang, Guan Heng Yeoh, Victoria Timchenko, Chi Pok CheungChi Pok Cheung, Qing Chan, Wenjie YangA novel Large Eddy Simulation (LES) based fire field model that incorporates pyrolysis modelling has been developed. This model is specifically designed for flame propagation of wildland fire scenarios. It uniquely embraces the radiation heat feedback from the flame, gaseous combustion and soot products towards the fuel bed surface. It also considers the detailed chemical kinetics for combustion, primary soot incipient and oxidant for soot formation, turbulent microscopic fuel–air mixing which are fully coupled, interactive and non-linear. Numerical simulation has been performed to study the effect of slope angle on the flame propagation characteristic of pine needle fuel beds. The fire spread rate and temperature predictions are within 12% accuracy in comparison to experimental data. Owing to the unbalanced air entrainment drew by the flame combustion for the inclined slope angle cases, it can be observed from the visualised flame that it was tilted to the unburned portion of the board. This behaviour strongly promotes the radiative heat transfer from the flame onto the fuel bed, which led to a rapid increase in pyrolysis rate thus accelerated the overall flame spread on the board surface. This physical phenomenon was successfully captured by the pyrolysis model and was found to be significantly more accurate in predicting the fire spread rate for slope angles higher than 20° (error of 11.12%) when compared to empirical flame tracking methods (error of 87.19%). © 2018 Elsevier Ltd
Funding
ARC Training Centre in Fire Retardant Materials and Safety Technologies
Australian Research Council
Find out more...History
Journal
International Journal of Heat and Mass TransferVolume
125Start page
310End page
322Total pages
13Publisher
ElsevierPlace published
United KingdomLanguage
EnglishCopyright
© 2018 Elsevier Ltd. All rights reserved.Former Identifier
2006084392Esploro creation date
2020-06-22Fedora creation date
2018-09-20Usage metrics
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