Grouping methods for MPS soot transport model and its application in large-scale enclosure fires |
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| Affiliation: | 1. Fire Safety Engineering Group, University of Greenwich, London SE10 9LS UK;2. Western Norway University of Applied Sciences, 5528 Haugesund, Norway;1. beth.weckman@uwaterloo.ca & ejweckman@uwaterloo.ca;2. atrouve@umd.edu;3. luke.bisby@icloud.com;4. Bart.Merci@UGent.be;1. Department of Architecture, Faculty of Science and Engineering, Tokyo University of Science, 2641 Yamasaki, Noda 278-8510, Japan;2. Department of Architecture and Architectural Engineering, Kyoto University, C1-4-482, Kyoto University Katsura campus, Nishikyo-ku, Kyoto 615-8540, Japan;3. Department of Architecture, Okayama University of Science, Ridaicho, Kita-ku, Okayama-shi 700-0005, Japan;1. School of Engineering and Information Technology, Murdoch University, 90 South Street, Murdoch WA 6150, Australia;2. Dyno Nobel Asia Pacific Pty Ltd, Mt Thorley, NSW 2330, Australia;3. Department of Chemical & Biomolecular Engineering, North Carolina State University, Raleigh, NC 27695-7905, USA;1. BRANZ Ltd, Judgeford, New Zealand;2. Civil and Natural Resources Engineering, University of Canterbury, Christchurch, New Zealand |
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| Abstract: | ![]()
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 method to divide the soot particles into several groups and determine the representative size for each group. In this paper, several soot particle grouping methods and the approach 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 methods are applied is investigated through the comparison of the predicted movement of soot particles generated from several materials. Based on this analysis a grouping method 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. |
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| Keywords: | Smoke, CFD model, soot transport model Settling velocity Grouping method Large-scale enclosure fire |
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