30 research outputs found

    Grouping strategies for MPS soot transport model and its application in large-scale enclosure fires

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    A soot transport model called Multi-Particle-Size model (MPS model) was developed to improve the prediction of soot movement by considering the uneven mass size distribution of soot particles and the influence of particle size on the gravitational settling. The model requires a sophisticated grouping strategy to divide the soot particles into several groups and determine the representative size for each group. In this paper, several soot particle grouping strategies and the method to calculate the representative sizes are developed with the aim of balancing the computational efficiency and the prediction accuracy of the model. The performance of the MPS model when different grouping strategies are applied is investigated through the comparison of the predicted movement of soot particles generated from several materials. Based on this analysis a grouping strategy that results in the identification of three groups is shown to be sufficient to represent the influence of particle size on the gravitational settling for a variety of combustible materials and the computational cost of the extra governing equations for the transport of soot particles in the groups is acceptable. Furthermore, the efficiency of the model is demonstrated by simulating soot movement in a large-scale industrial building with a high ceiling

    A forensic analysis of a fatal fire in an indoor shooting range using coupled fire and evacuation modelling tools

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    In this paper, coupled fire and evacuation computer simulations are used to numerically reconstruct a fatal fire that occurred in an indoor shooting range in Pusan, Korea in 2009. Of the 16 building occupants, 15 were killed and only one survived with serious injuries. The analysis demonstrates that these modelling techniques can accurately reproduce the outcome of this fire. The numerical approach is then used to forensically analyse the incident to determine what factors significantly contributed to the high loss of life. In particular, the occupant response times are analysed as is the impact of the flame spread rate on the polyurethane foam cladded walls of the shooting range. The results suggest that it is unlikely that anyone could have survived if response times were greater than 5 seconds. Furthermore, the analysis suggests that fatalities could not have been completely avoided even if the occupants had zero response time. In addition, it is demonstrated that gunpowder residue on the polyurethane foam walls is the critical factor in producing the high loss of life in this incident. The average number of fatalities could be reduced from an average of 14.9 in the reconstruction case with gunpowder residue on the polyurethane foam walls to an average of 0.1 if the walls are completely free of gunpowder residue. However, to completely eliminate fire related casualties, it is necessary to use a polyurethane foam wall cladding material with low flame spread rates together with an effective gunpowder cleaning system

    Inflight transmission of COVID-19 based on experimental aerosol dispersion data

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    Background: An issue of concern to the travelling public is the possibility of in-flight transmission of COVID-19 during long- and short-haul flights. The aviation industry maintains that the probability of contracting the illness is small based on reported cases, modelling and data from aerosol dispersion experiments conducted on-board aircraft. Methods: Using experimentally derived aerosol dispersion data for a B777–200 aircraft and a modified version of the Wells-Riley equation we estimate inflight infection probability for a range of scenarios involving quanta generation rate and face mask efficiency. Quanta generation rates were selected based on COVID-19 events reported in the literature while mask efficiency was determined from the aerosol dispersion experiments. Results: The MID-AFT cabin exhibits the highest infection probability. The calculated maximum individual infection probability (without masks) for a 2-hour flight in this section varies from 4.5% for the ‘Mild Scenario’ to 60.2% for the ‘Severe Scenario’ although the corresponding average infection probability varies from 0.1% to 2.5%. For a 12-hour flight, the corresponding maximum individual infection probability varies from 24.1% to 99.6% and the average infection probability varies from 0.8% to 10.8%. If all passengers wear face masks throughout the 12-hour flight, the average infection probability can be reduced by approximately 73%/32% for high/low efficiency masks. If face masks are worn by all passengers except during a one-hour meal service, the average infection probability is increased by 59%/8% compared to the situation where the mask is not removed. Conclusions: This analysis has demonstrated that while there is a significant reduction in aerosol concentration due to the nature of the cabin ventilation and filtration system, this does not necessarily mean that there is a low probability or risk of in-flight infection. However, mask wearing, particularly high-efficiency ones, significantly reduces this risk
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