title: Critical wind velocity for arresting upwind gas and smoke dispersion induced by near-wall fire in a road tunnel.
abstract: In case of a tunnel fire, toxic gas and smoke particles released are the most fatal contaminations. It is important to supply fresh air from the upwind side to provide a clean and safe environment upstream from the fire source for people evacuation. Thus, the critical longitudinal wind velocity for arresting fire induced upwind gas and smoke dispersion is a key criteria for tunnel safety design. Former studies and thus, the models built for estimating the critical wind velocity are all arbitrarily assuming that the fire takes place at the centre of the tunnel. However, in many real cases in road tunnels, the fire originates near the sidewall. The critical velocity of a near-wall fire should be different with that of a free-standing central fire due to their different plume entrainment process. Theoretical analysis and CFD simulation were performed in this paper to estimate the critical velocity for the fire near the sidewall. Results showed that when fire originates near the sidewall, it needs larger critical velocity to arrest the upwind gas and smoke dispersion than when fire at the centre. The ratio of critical velocity of a near-wall fire to that of a central fire was ideally estimated to be 1.26 by theoretical analysis. Results by CFD modelling showed that the ratio decreased with the increase of the fire size till near to unity. The ratio by CFD modelling was about 1.18 for a 500kW small fire, being near to and a bit lower than the theoretically estimated value of 1.26. However, the former models, including those of Thomas (1958, 1968), Dangizer and Kenndey (1982), Oka and Atkinson (1995), Wu and Barker (2000) and Kunsch (1999, 2002), underestimated the critical velocity needed for a fire near the tunnel sidewall.
authors.affiliation: State Key Laboratory of Fire Science, University of Science and Technology of China Hefei, Anhui 230026, China. hlh@utsc.edu.cn
authors.forename: L H
authors.initials: LH
authors.lastname: Hu
authors.forename: W
authors.initials: W
authors.lastname: Peng
authors.forename: R
authors.initials: R
authors.lastname: Huo
mesh_terms: D000393:Air Pollutants / Q000032:analysis; D000397:Air Pollution / Q000032:analysis / Q000517:prevention & control; D003198:Computer Simulation; D005390:Fires; D008962:Models, Theoretical; D012449:Safety; D012906:Smoke / Q000009:adverse effects / Q000032:analysis*; D014919:Wind
chemical_list: D000393:Air Pollutants; D012906:Smoke