The Application of a Simple Free Convection Model to the Pool Fire Pulsation Problem

Maynard, Trevor; Princevac, Marko

doi:10.1080/00102202.2011.648034

Cited by 9 publications

(4 citation statements)

References 12 publications

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“…Since the flame's brightness was much greater than the smoke and background, an algorithm was used to identify the location of the flame boundary in each frame by searching for continuous regions of maximum pixel intensity. Similar methods have been used to determine statistical properties of flame geometry and luminous intensity [48,49]. However, this method was not amenable to determining flame angle, since the flame shape is irregular, making it difficult to detect a horizontal midpoint at the flame tip.…”

Section: Flame Height and Anglementioning

confidence: 99%

A Study of the Flow Field Surrounding Interacting Line Fires

Maynard¹,

Princevac

Weise

2016

Journal of Combustion

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The interaction of converging fires often leads to significant changes in fire behavior, including increased flame length, angle, and intensity. In this paper, the fluid mechanics of two adjacent line fires are studied both theoretically and experimentally. A simple potential flow model is used to explain the tilting of interacting flames towards each other, which results from a momentum imbalance triggered by fire geometry. The model was validated by measuring the velocity field surrounding stationary alcohol pool fires. The flow field was seeded with high-contrast colored smoke, and the motion of smoke structures was analyzed using a cross-correlation optical flow technique. The measured velocities and flame angles are found to compare reasonably with the predicted values, and an analogy between merging fires and wind-blown flames is proposed.

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Section: Flame Height and Anglementioning

confidence: 99%

A Study of the Flow Field Surrounding Interacting Line Fires

Maynard¹,

Princevac

Weise

2016

Journal of Combustion

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“…In fact, this phenomenon describes the appearance of vortices on the flame surface [37,38]. Due to the difference in density of the horizontal direction of the flame range, and on the other hand, the pressure difference, which is created in the vertical direction due to gravity, the baroclinic and gravity produce the Puffing vortex.…”

Section: -2 Puffing Phenomenamentioning

confidence: 99%

A Study on turbulence-combustion interaction and Sub-grid Scale model in the simulation of Methane pool fire using LES

2021

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In this paper, the effect of the combustion and turbulence sub-grid scale (SGS) model on the simulation of pool fire turbulence field has been studied in open source CFD software, OpenFOAM. Two combustion models of Eddy Dissipation Model (EDM) and infinite fast chemistry, with the one-equation and Smagorinsky SGS model, is evaluated for a large-scale pool fire. In general, fast kinetic-based combustion models predict excessive heat release rate. The mean squared of the velocity fluctuations is over-predicted. In this simulation, the turbulence models have no significant effect on the results. In fact, the effect of the combustion model is dominant. The EDM combustion model is more compatible when used with the one-equation SGS model and improves the results compared to other cases. In addition, the infinite fast chemistry combustion model is not a suitable model for fire simulation.

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“…This phenomenon describes the appearance of vortices on the fire surface and its growth and transportation in the vertical direction [39]. According to the published reports [39], with the formation of a flame, small vortices are formed at the bottom of the flame [6]; these vortices move upward the flame, which has gradually grown on its path until they reach the top of the flame and are separated from it [40]. The leading cause of the formation of these vortices is the baroclinic and gravitational production term [41].…”

Section: Vortex Formationmentioning

confidence: 99%

Evaluation of LES sub-grid scale models and time discretization schemes for prediction of convection effect in a buoyant pool fire

2020

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The identification of the type of regime has an essential effect on the selection of sub-grid scale and discretization methods, regarding the accuracy and computational time. In order to investigate the role of sub-grid scale and time discretization method in a pool fire modeling by the Large Eddy Simulation (LES), three sub-grid scales Smagorinsky, one-equation and Wall-Adapting Local Eddy-Viscosity (WALE) and three time discretization methods of first-order Euler method, second-order Crank Nicolson and backward second-order were investigated. The results indicate that WALE and one-equation sub-grid scale have an acceptable prediction, while Smagorinsky has a significant error with the experimental results. Different time discretization methods have little effects on the results of mean velocity and mean turbulent parameters of the pool fire. By considering the instantaneous distribution of parameters, all three methods perform similar results where the kinetic energy is less than 5 m 2 /s 2 . In areas where the perturbation is aggravated, the two second-order discretization methods have the same error with a little difference by the first-order Euler method. The accuracies of second-order methods are about 10% for the velocity prediction, compared to the experimental results, while the error of the Euler method is 15%.

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The Application of a Simple Free Convection Model to the Pool Fire Pulsation Problem

Cited by 9 publications

References 12 publications

A Study of the Flow Field Surrounding Interacting Line Fires

A Study of the Flow Field Surrounding Interacting Line Fires

A Study on turbulence-combustion interaction and Sub-grid Scale model in the simulation of Methane pool fire using LES

Evaluation of LES sub-grid scale models and time discretization schemes for prediction of convection effect in a buoyant pool fire

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