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Study of three LES subgrid-scale turbulence models for predictions of heat and mass transfer in large-scale compartment fires

  • A. C.Y. Yuen
  • , G. H. Yeoh
  • , V. Timchenko
  • , S. C.P. Cheung
  • , T. Chen

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

ABSTRACT: Numerical assessment was performed to investigate the wall-adaptive features offered by two subgrid-scale (SGS) turbulence models: Wall-Adapting Local Eddy Viscosity (WALE) and Vreman against the Smagorinsky model. The gas temperature and velocity field predictions were enhanced using WALE over Smagorinsky, especially at the flaming and near-wall regions since WALE considers both strain and rotation rates of the turbulent structure and the turbulent viscosity approaches zero at the wall. Conversely, the simulation results by Vreman were under-predicted against the experimental data. The WALE model could notably enhance the simulation accuracy for large-scale compartment fires due to significant improvements of the flow diffusivity modeling. © 2016, Copyright © Taylor & Francis Group, LLC.
Original languageEnglish
Pages (from-to)1223-1241
JournalNumerical Heat Transfer; Part A: Applications
Volume69
Issue number11
DOIs
Publication statusPublished - 2 Jun 2016
Externally publishedYes

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