A Comparison Of Two Fire Field Models With Experimental Room Fire Data

Kerrison, L.; Mawhinney, N.; Galea, Edwin R.; Noffmann, N.; Patel, Mayur

doi:10.3801/iafss.fss.4-161

Cited by 20 publications

(6 citation statements)

References 14 publications

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“…An excellent example of this is the analysis of the the experiments of Steckler et al [5, 61 by Kerrison et al. [4]. The disadvantage of using such an experiment as a test of fire-induced flow models is that it is difficult to determine how much the k -6 model, the choice of boundary condition, the representation of the enclosure geometry, or the experimental data contribute to those discrepancies between computed and measured results.…”

Section: Introductionmentioning

confidence: 99%

Three Dimensional Simulations Of Fire Plume Dynamics

Baum¹,

McGrattan²,

Rehm³

1997

Fire Safety Science - Proceedings of the 5th International Symp

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The velocity and temperature fields of fire plumes are studied theoretically and computationally using the authors' large eddy simulation techniques. A version of the Navier-Stokes equations specialized to the study of fire dynamics is used as the basis for the analysis. No empirical turbulence modeling parameters are introduced into the computations. These simplifications permit high resolution solutions to the three dimensional time-dependent Navier-Stokes to be directly compared with experimental correlations of the time-averaged properties of an isolated vertical plume. Comparisons are made by averaging the time-dependent numerical results rather than the governing equations. Computed mean velocities and temperatures are shown to be in close agreement with McCaffrey's correlations. The methodology is then applied to the study of a large pool fire in an aircraft hangar with a complicated roof geometry. A simple cell masking scheme permits the inclusion of the building geometry into the calculation without sacrificing computational efficiency. The plume structure in the hangar is compared with the isolated plume properties.

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Section: Introductionmentioning

confidence: 99%

Three Dimensional Simulations Of Fire Plume Dynamics

Baum¹,

McGrattan²,

Rehm³

1997

Fire Safety Science - Proceedings of the 5th International Symp

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“…For simplicity, all confining boundaries are assumed to be adiabatic. In both cases a small volumetric fire of 50 kW is situated in the centre of the fire compartment, a situation similar to one of the Steckler room scenarios [9,11] The fire compartment measures 3.0m in length by 2 18m in height. The door has a height of 1.83m.…”

Section: Examples Of the Group Solver In Operationmentioning

confidence: 93%

Smartfire: An Integrated Computational Fluid Dynamics Code And Expert System For Fire Field Modelling

Taylor¹,

Galea²,

Patel³

et al. 1997

Fire Safety Science - Proceedings of the 5th International Symp

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SMARTFIRE, an open architecture integrated CFD code and knowledge based system attempts to make fire field modelling accessible to non-experts in Computational Fluid Dynamics (CFD) such as fire fighters, architects and fire safety engineers. This is achieved by embedding expert knowledge into CFD software. This enables the 'black-art' associated with the CFD analysis such as selection of solvers, relaxation parameters, convergence criteria, time steps, grid and boundary condition specification to be guided by expert advice from the software. The user is however given the option of overriding these decisions, thus retaining ultimate control. SMARTFIRE also makes use of recent developments in CFD technology such as unstructured meshes and group solvers in order to make the CFD analysis more efficient. This paper describes the incorporation within SMARTFIRE of the expert fire modelling knowledge required for automatic problem setup and mesh generation as well as the concept and use of group solvers for automatic and manual dynamic control of the CFD code

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“…A number of RANSbased codes (JASMINE [10], SMARTFIRE [11], simulation of fire in enclosures (SOFIE) [3]) have reported detailed comparisons with such experiments and generally demonstrated good agreement with measurement, even when employing comparatively rudimentary combustion models of the eddy break-up or eddy dissipation type [12,13]. The next step-to incorporate the interaction between smoke production, radiative exchange and fire growth-has attracted many fewer detailed studies, reflecting both the complexity of the necessary experimentation and of the fire modelling.…”

Section: Introductionmentioning

confidence: 99%