Hu, Xiaoqin, Jia, Fuchen ORCID: https://orcid.org/0000-0003-1850-7961, Wang, Zhaozhi ORCID: https://orcid.org/0000-0002-8986-0554 and Galea, Edwin R. ORCID: https://orcid.org/0000-0002-0001-6665 (2017) Grouping strategies for MPS soot transport model and its application in large-scale enclosure fires. Fire Safety Journal, 91. pp. 361-370. ISSN 0379-7112 (Print), 1873-7226 (Online) (doi:10.1016/j.firesaf.2017.03.045)

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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 strategy to divide the soot particles into several groups and determine the representative size for each group. In this paper, several soot particle grouping strategies and the method 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 strategies are applied is investigated through the comparison of the predicted movement of soot particles generated from several materials. Based on this analysis a grouping strategy 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.

Item Type:	Article
Uncontrolled Keywords:	Smoke; CFD model; Soot transport model; Settling velocity; Grouping strategy; Large-scale enclosure fire.
Subjects:	Q Science > QA Mathematics
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science > Centre for Numerical Modelling & Process Analysis (CNMPA) > Fire Safety Engineering Group (FSEG) Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS) Faculty of Engineering & Science
Last Modified:	04 Mar 2022 13:07
URI:	http://gala.gre.ac.uk/id/eprint/16553

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