Grouping methods for MPS soot transport model and its application in large-scale enclosure fires

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.

Experimental and Numerical Investigation of Extinguishing Effectiveness of Inert-Gas Agents in a Leaky Enclosure

“…The tests were numerically modelled using FDS [20], which is a computational fluid dynamics (CFD) model of fire-driven fluid flow. The CFD model has been validated to be able to reproduce the fire development and gas movement in many practical studies [21][22][23]. The dimension of the enclosure built by FDS was the same as that shown in Figure 1.…”