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Large eddy simulations of a turbulent thermal plume

Yan, Zhenghua LU (2007) In Heat and Mass Transfer 43(6). p.503-514
Abstract
Large eddy simulations of a three-dimensional turbulent thermal plume in an open environment have been carried out using a self-developed parallel computational fluid dynamics code SMAFS (smoke movement and flame spread) to study the thermal plume's dynamics including its puffing, self-preserving and air entrainment. In the simulation, the sub-grid stress was modeled using both the standard Smagorinsky and the buoyancy modified Smagorinsky models, which were compared. The sub-grid scale (SGS) scalar flux in the filtered enthalpy transport equation was modeled based on a simple gradient transport hypothesis with constant SGS Prandtl number. The effect of the Smagorinsky model constant and the SGS Prandtl number were examined. The... (More)
Large eddy simulations of a three-dimensional turbulent thermal plume in an open environment have been carried out using a self-developed parallel computational fluid dynamics code SMAFS (smoke movement and flame spread) to study the thermal plume's dynamics including its puffing, self-preserving and air entrainment. In the simulation, the sub-grid stress was modeled using both the standard Smagorinsky and the buoyancy modified Smagorinsky models, which were compared. The sub-grid scale (SGS) scalar flux in the filtered enthalpy transport equation was modeled based on a simple gradient transport hypothesis with constant SGS Prandtl number. The effect of the Smagorinsky model constant and the SGS Prandtl number were examined. The computation results were compared with experimental measurements, thermal plume theory and empirical correlations, showing good agreement. It is found that both the buoyancy modification and the SGS turbulent Prandtl number have little influence on simulation. However, the SGS model constant C (s) has a significant effect on the prediction of plume spreading, although it does not affect much the prediction of puffing. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Heat and Mass Transfer
volume
43
issue
6
pages
503 - 514
publisher
Springer
external identifiers
  • wos:000244197800001
  • scopus:33847241286
ISSN
1432-1181
DOI
10.1007/s00231-006-0127-5
language
English
LU publication?
yes
id
26d2206c-3a30-4104-8423-9897d5b0b364 (old id 674176)
date added to LUP
2007-12-21 13:37:22
date last changed
2017-08-27 04:24:38
@article{26d2206c-3a30-4104-8423-9897d5b0b364,
  abstract     = {Large eddy simulations of a three-dimensional turbulent thermal plume in an open environment have been carried out using a self-developed parallel computational fluid dynamics code SMAFS (smoke movement and flame spread) to study the thermal plume's dynamics including its puffing, self-preserving and air entrainment. In the simulation, the sub-grid stress was modeled using both the standard Smagorinsky and the buoyancy modified Smagorinsky models, which were compared. The sub-grid scale (SGS) scalar flux in the filtered enthalpy transport equation was modeled based on a simple gradient transport hypothesis with constant SGS Prandtl number. The effect of the Smagorinsky model constant and the SGS Prandtl number were examined. The computation results were compared with experimental measurements, thermal plume theory and empirical correlations, showing good agreement. It is found that both the buoyancy modification and the SGS turbulent Prandtl number have little influence on simulation. However, the SGS model constant C (s) has a significant effect on the prediction of plume spreading, although it does not affect much the prediction of puffing.},
  author       = {Yan, Zhenghua},
  issn         = {1432-1181},
  language     = {eng},
  number       = {6},
  pages        = {503--514},
  publisher    = {Springer},
  series       = {Heat and Mass Transfer},
  title        = {Large eddy simulations of a turbulent thermal plume},
  url          = {http://dx.doi.org/10.1007/s00231-006-0127-5},
  volume       = {43},
  year         = {2007},
}