2004
DOI: 10.1063/1.1689371
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Large eddy simulation and experimental measurements of the near-field of a large turbulent helium plume

Abstract: Large eddy simulations (LES) are conducted of a large, 1 m in diameter, turbulent helium plume. The plume instability modes and flow dynamics are explored as a function of grid resolution with and without the use of subgrid scale (SGS) models. LES results reproduce well-established varicose puffing mode instabilities as well as secondary “finger-like” azimuthal instabilities leading to the breakdown of periodically shed toroidal vortices. Simulation results of time-averaged velocity and concentration fields sh… Show more

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Cited by 60 publications
(67 citation statements)
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“…Overall, the quality of the results is comparable to results previously published in the literature [11,13] with other CFD packages, which is encouraging for the use of FireFOAM in future work for simulations of fire-induced flows. A recent, more extensive, numerical study with FireFOAM, [20], supports this claim.…”
Section: Discussionsupporting
confidence: 76%
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“…Overall, the quality of the results is comparable to results previously published in the literature [11,13] with other CFD packages, which is encouraging for the use of FireFOAM in future work for simulations of fire-induced flows. A recent, more extensive, numerical study with FireFOAM, [20], supports this claim.…”
Section: Discussionsupporting
confidence: 76%
“…The mean streamwise velocities predicted, are close to the experimental uncertainty for both FireFOAM and FDS. The use of SGS model in FDS damps the flow, leading to a decrease in the mean velocity, as reported also in DesJardin et al [13]. Best agreement is observed by FDS with the use of SGS model.…”
Section: Resultssupporting
confidence: 71%
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“…For all the test cases considered in this study, the conditions at the source were laminar (inlet velocities of only a few cm/s), but very quickly buoyancy-generated turbulence makes the flow turbulent (within an inlet diameter distance). The triggering mechanism [8,9,18] is the generation of instabilities at the edges of the source due to baroclinic and gravitational torques. If coarse grids are used in the numerical simulations then small-scale mixing is not well captured and temperatures are typically under-predicted, resulting in smaller density gradients.…”
Section: Instability Generationmentioning
confidence: 99%
“…The specific motivation of the present numerical study is three-fold: first, to study the dynamics and oscillatory behavior of large-scale fire plumes and examine how the vorticity generation mechanism and puffing frequency of such plumes differ from previously studied iso-thermal buoyant plumes [8,9] of the same size; second, to evaluate the predictive capabilities of the turbulence and combustion models, currently used in the fire community, of accurately capturing the fire dynamics and the buoyancy-generated turbulence associated with large-scale fire plumes; third, to apply two well-known CFD codes, typically used for numerical simulations of fire safety applications, and evaluate the simulation results of transient and mean flow dynamics of large-scale fire plumes against experimental data. The comparison of the two CFD packages is expected to be useful for fire safety engineers working on real-life applications of fire scenarios.…”
Section: Introductionmentioning
confidence: 99%