On the influences of key modelling constants of large eddy simulations for large-scale compartment fires predictions

Yuen, A, Yeoh, G, Timchenko, V, Cheung, C, Chan, Q and Chen, T 2017, 'On the influences of key modelling constants of large eddy simulations for large-scale compartment fires predictions', International Journal of Computational Fluid Dynamics, vol. 31, no. 68, pp. 324-337.


Document type: Journal Article
Collection: Journal Articles

Title On the influences of key modelling constants of large eddy simulations for large-scale compartment fires predictions
Author(s) Yuen, A
Yeoh, G
Timchenko, V
Cheung, C
Chan, Q
Chen, T
Year 2017
Journal name International Journal of Computational Fluid Dynamics
Volume number 31
Issue number 68
Start page 324
End page 337
Total pages 14
Publisher Taylor and Francis
Abstract An in-house large eddy simulation (LES) based fire field model has been developed for large-scale compartment fire simulations. The model incorporates four major components, including subgrid-scale turbulence, combustion, soot and radiation models which are fully coupled. It is designed to simulate the temporal and fluid dynamical effects of turbulent reaction flow for non-premixed diffusion flame. Parametric studies were performed based on a large-scale fire experiment carried out in a 39-m long test hall facility. Several turbulent Prandtl and Schmidt numbers ranging from 0.2 to 0.5, and Smagorinsky constants ranging from 0.18 to 0.23 were investigated. It was found that the temperature and flow field predictions were most accurate with turbulent Prandtl and Schmidt numbers of 0.3, respectively, and a Smagorinsky constant of 0.2 applied. In addition, by utilising a set of numerically verified key modelling parameters, the smoke filling process was successfully captured by the present LES model.
Subject Mathematical Sciences not elsewhere classified
Keyword(s) combustion modelling
compartment fire
Large eddy simulation
large-scale fire simulation
soot modelling
DOI - identifier 10.1080/10618562.2017.1357809
Copyright notice © 2017 Informa
ISSN 1061-8562
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