Browsing by Author "Cao, RF"
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- ItemNumerical investigation of expandable graphite suppression on metal-based fire(Springer Nature, 2021-06-19) Cordeiro, IMDC; Liu, HR; Yuen, ACY; Chen, TBY; Li, A; Cao, RF; Yeoh, GHAqueous suppression systems (i.e. fire sprinkler, water mist) have been extensively utilised for compartmental fire suppression due to their significant heat extraction ability. Nevertheless, challenges can be foreseen in suppressing water-reactive chemicals as a violent explosive reaction will be triggered, such as alkali metals (i.e. Na, Li) and alkali metal hydrides (i.e. LiH, LiAlH4). In this study, expandable graphite (EG) is proposed as a potential suppressant against alkaline metal fire due to its advantageous thermal properties and chemical stability. In-house user-defined functions (UDFs) are developed to characterise the particle expansion coupled with the heat and mass transfer process between EG and the fluid mixture. The model is incorporated in the large eddy simulation (LES) framework to study the temporal fire behaviours and the suppression effect of EG against the flame plume. The numerical model was validated by comparison of temperature profiles and expansion rate of EG particles along the suppression event against experimental results. The EG was found to be relatively effective in fire suppression compared to the same amount of natural graphite. Parametric analysis was conducted on a range of EG particle size between 400 µm—1000 µm to investigate the suppression mechanisms and the suppression efficiency of EG particles against metal fires. Within the range of the current study (400 µm—1000 µm), the EG particle diameter of 400 µm has achieved the most effective suppression performance and the suppression time of 2 s. It is observed that the smaller size of EG tends to be effective in fire suppression than the larger sizes. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021. This item has been added to APO for archival purposes. Springer Nature holds exclusive licence to publish. Usage is limited to academic research.
- ItemSimulation of competitive and cooperative egress movements on the crowd emergency evacuation(Elsevier, 2021-05-01) Cao, RF; Lee, EWM; Yuen, ACY; Chen, TBY; Cordeiro, IMDC; Shi, M; Wei, X; Yeoh, GHEmpirical evidence suggests that evacuees tend to break down their well-coordinated motion and adopt competitive egress behaviour when they are confronting life-endangering situations (e.g., fire accident, earthquake). This phenomenon significantly influences crowd dynamics, and subsequently, the overall evacuation time. In this paper, a novel evacuation model has been developed, which takes the detailed cooperative and competitive egress movements of evacuees into consideration. The proposed model has been conducted to simulate crowd (i.e., with different proportion of competitive individuals within the crowd) evacuating from a single-exit compartment room (i.e., the exit width varies from 0.8 to 2.0m). Simulation results show that competitive evacuees exhibit an arc-shape formation in front of the bottleneck area (i.e., the exit). This is notably distinct from the cooperative evacuees generated shape formation. In addition, the evacuation performance (i.e., evacuation time, trajectories, density and flow rate) of competitive and cooperative evacuees over time are successfully captured for analysis. This study contributes to a better understanding of the crowd evacuation dynamics by considering the impact of competitive and cooperative egress movements. © 2021 Elsevier B.V.