Predicting toxic gas concentrations resulting from enclosure fires using local equivalence ratio concept linked to fire field models
Wang, Zhaozhi ORCID: 0000-0002-8986-0554 , Jia, Fuchen ORCID: 0000-0003-1850-7961 and Galea, Edwin R. ORCID: 0000-0002-0001-6665 (2007) Predicting toxic gas concentrations resulting from enclosure fires using local equivalence ratio concept linked to fire field models. Fire and Materials, 31 (1). pp. 27-51. ISSN 0308-0501 (doi:https://doi.org/10.1002/fam.924)
Full text not available from this repository.Abstract
A practical CFD method is presented in this study to predict the generation of toxic gases in enclosure fires. The model makes use of local combustion conditions to determine the yield of carbon monoxide, carbon dioxide, hydrocarbon, soot and oxygen. The local conditions used in the determination of these species are the local equivalence ratio (LER) and the local temperature. The heat released from combustion is calculated using the volumetric heat source model or the eddy dissipation model (EDM). The model is then used to simulate a range of reduced-scale and full-scale fire experiments. The model predictions for most of the predicted species are then shown to be in good agreement with the test results
Item Type: | Article |
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Uncontrolled Keywords: | enclosure fire, CFD, fire field model, carbon monoxide, local equivalence ratio |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Pre-2014 Departments: | School of Computing & Mathematical Sciences School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Fire Safety Engineering Group School of Computing & Mathematical Sciences > Department of Mathematical Sciences |
Related URLs: | |
Last Modified: | 03 Mar 2021 16:50 |
URI: | http://gala.gre.ac.uk/id/eprint/1059 |
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