Fire Dynamics Simulator (FDS) Pyrolysis Model Analysis of Heavy Goods Vehicle Fires in Road Tunnels (2017)
Type of ContentTheses / Dissertations
Thesis DisciplineFire Engineering
Degree NameDoctor of Philosophy
PublisherUniversity of Canterbury
AuthorsWang, Xiaoyunshow all
Heavy goods vehicle (HGV) fires cause more serious fire safety problems than other vehicle fires in road tunnels due to the large fire size. The fire size is a critical parameter in road tunnel fire safety design and this parameter varies considerably under different environmental conditions. It is impractical to experimentally measure heat release rate (HRR) for HGV fires under different tunnel conditions because of the large experimental cost. There is a desire to use a cost-effective computational fluid dynamics (CFD) modelling method to study tunnel fires, such as fire dynamics simulator (FDS). The pyrolysis model in FDS can predict HRR based on fuel properties and environmental conditions. Therefore, the FDS pyrolysis model is adopted in this research to simulate a large-scale tunnel simulated HGV cargo experiment, which was carried out on behalf of the Land Transport Authority (LTA), Singapore. There are three major objectives in this research: to understand fuel properties for the application of the pyrolysis model; to understand influence of forced ventilation on the HRR of tunnel fires; and to assess the predictive capability of the pyrolysis model in FDS to simulate tunnel fires.
The material properties of the fuels (plastic and wood) adopted in the LTA experiment are investigated. A simple hand calculation method using multiple-component schemes is proposed in this research to analyse the kinetic properties for the LTA materials through a series of material-scale experiments. Favourable FDS predictions of decomposition behaviour are obtained based on the derived kinetic properties. Following the studies of the kinetic properties, a manual optimisation process is used to determine other thermal properties for the application of the FDS pyrolysis model. The results from FDS simulations for a series of cone calorimeter experiments reveal that the use of component schemes and thermal property settings are critical in accurately predicting burning behaviour in FDS.
A series of small-scale tunnel experiments are conducted which is scaled at a ratio of 1:20 on the basis of the LTA large-scale tunnel experiment. Medium density fireboard (MDF) cribs are used as fuel source to investigate the influence of forced ventilation on tunnel fires. It is found that the forced ventilation affects fire spread rate and burning efficiency which ultimately affects the peak HRR. In addition, the influence of forced ventilation on burning efficiency is affected by the crib length. A mathematical model to predict peak HRR for crib fires is proposed based on the observed influences on crib fires from these different factors.
The ultimate objective is to assess the ability of the FDS pyrolysis model to predict the HRR in the small-scale and large-scale tunnel experiments. In the simulations, the decomposition reactions are described. The ventilation influences on burning efficiency are accounted for through heat of combustion. Unfortunately, FDS considerably under predicts the HRR and fire growth behaviour for both experiments. These results suggest that the FDS pyrolysis model is unable to predict fire burning behaviour for complex fuels with sufficient accuracy to be used in practical tunnel design.
Overall, this research reveals an effective hand calculation method to derive kinetic properties; a manual optimisation process to determine thermal properties; a mathematical model to describe forced ventilation influence on fire size and to further estimate peak HRR for tunnel crib fires. In addition, the results from the application of FDS pyrolysis model to simulate tunnel fires reveal that the pyrolysis model is unable to accurately predict fire burning behaviour for complex fuels.