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Predicting HCI concentrations in fire enclosures using a HCI decay model coupled to a CFD based fire field model

Predicting HCI concentrations in fire enclosures using a HCI decay model coupled to a CFD based fire field model

Wang, Zhaozhi, Galea, Edwin R., Jia, Fuchen, Ewer, John and Patel, Mayur (2007) Predicting HCI concentrations in fire enclosures using a HCI decay model coupled to a CFD based fire field model. Fire and Materials, 31 (7). pp. 443-461. ISSN 0308-0501 (doi:10.1002/fam.942)

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Abstract

The amount of atmospheric hydrogen chloride (HCl) within fire enclosures produced from the combustion of chloride-based materials tends to decay as the fire effluent is transported through the enclosure due to mixing with fresh air and absorption by solids. This paper describes an HCl decay model, typically used in zone models, which has been modified and applied to a computational fluid dynamics (CFD)-based fire field model. While the modified model still makes use of some empirical formulations to represent the deposition mechanisms, these have been reduced from the original three to two through the use of the CFD framework. Furthermore, the effect of HCl flow to the wall surfaces on the time to reach equilibrium between HCl in the boundary layer and on wall surfaces is addressed by the modified model. Simulation results using the modified HCl decay model are compared with data from three experiments. The model is found to be able to reproduce the experimental trends and the predicted HCl levels are in good agreement with measured values.

Item Type: Article
Uncontrolled Keywords: hydrogen chloride, deposition, compartment fires, fire simulation, CFD
Subjects: T Technology > T Technology (General)
T Technology > TP Chemical technology
T Technology > TJ Mechanical engineering and machinery
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Fire Safety Engineering Group
Related URLs:
Last Modified: 14 Oct 2016 09:08
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/3042

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