Finite difference calculation of pool fires

Holen, Jens; Brostrøm, Magnus; Magnussen, Bjørn F.

doi:10.1016/s0082-0784(06)80442-x

Cited by 29 publications

(21 citation statements)

References 4 publications

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“…Given the adiabatic flame temperature, equilibrium species (fuel and air) composition, and approximate gas velocity, a VULCAN [9] simulation of this product plume was constructed, with specific values of these initial conditions provided in Table 2. The computational domain is shown in Fig.…”

Section: Computational Setupmentioning

confidence: 99%

A joint computational and experimental study to evaluate Inconel-sheathed thermocouple performance in flames.

Brundage¹,

Nicolette²,

Donaldson³

et al. 2005

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A joint experimental and computational study was performed to evaluate the capability of the Sandia Fire Code VULCAN to predict thermocouple response temperature. Thermocouple temperatures recorded by an Inconel-sheathed thermocouple inserted into a near-adiabatic flat flame were predicted by companion VULCAN simulations. The predicted thermocouple temperatures were within 6% of the measured values, with the error primarily attributable to uncertainty in Inconel 600 emissivity and axial conduction losses along the length of the thermocouple assembly. Hence, it is recommended that future thermocouple models (for Inconel-sheathed designs) include a correction for axial conduction. Given the remarkable agreement between experiment and simulation, it is recommended that the analysis be repeated for thermocouples in flames with pollutants such as soot.4

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Section: Computational Setupmentioning

confidence: 99%

A joint computational and experimental study to evaluate Inconel-sheathed thermocouple performance in flames.

Brundage¹,

Nicolette²,

Donaldson³

et al. 2005

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“…Vulcan solves the Reynolds-averaged Navier-Stokes equations, coupled with equations for species, enthalpy (from which temperature is obtained), and the turbulent kinetic energy and dissipation (the k-e model) [6] using standard modeling approaches [7] and numerical methods. [8] In addition to the gas-phase species, condensed-phase particles are transported using a Lagrangian method coupled to the Eulerian grid.…”

Section: Simulationsmentioning

confidence: 99%

A Modeling Investigation of Suppressant Distribution from a Prototype Solid-Propellant Gas-Generator Suppression System into a Simulated Aircraft Cargo Bay

et al. 2007

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One new technology for fire suppressant distribution in totalflooding applications is the solid-propellant gas-generator (SPGG) technology. This article presents experimental and modeling studies of one such prototype system in order to better understand observations in the testing of this system. This particular SPGG system generates fine particles that act to suppress any fire in conjunction with inert gases also generated in the SPGG system. Initial conditions for the simulations are obtained from the available measurements of the prototype system. The modeling provides key information related to the distribution of the particles and their potential effectiveness as a fire suppressant. The primary variable in the SPGG design as identified in the initial measurements, also presented here, was the particle size, with typical particle sizes being measured at 2 and 15 mm. The key modeling result is that there is a tradeoff between the most uniform distribution of particles and the available surface-to-volume ratio for chemical suppression. Information is also provided regarding the thermal dissipation from the SPGG system.

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“…Vulcan utilizes the Kameleon fire model [22] and solves the conservation equations on a structured 3-dimensional Cartesian grid. The conservation equations are discretized using first and second-ordered finite difference scheme.…”

Section: Simulation Predictionsmentioning

confidence: 99%

Well-characterized open pool experiment data and analysis for model validation and development.

Sundberg¹,

Brown²,

Blanchat³

2006

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Four Well-Characterized Open Pool fires were conducted by Fire Science and Technology Department. The focus of the Well-Characterized Open Pool fire series was to provide environmental information for open pool fires on a physics first principal basis. The experiments measured the burning rate of liquid fuel in an open pool and the resultant heat flux to a weaponsized object and the surrounding environment with well-characterized boundary and initial conditions. Results presented in this report include a general description of test observation (pre and post-test), wind measurements, fire plume topology, average fuel recession and heat release rates, and incident heat flux to the pool and to the calorimeters. As expected, results of the experiments show a strong correlation between wind conditions, fuel vaporization (mass loss) rate, and incident heat flux to the fuel and ground surface and calorimeters. Numerical fire simulations using both temporally-and spatially-dependant wind boundary conditions were performed using the Vulcan fire code. Comparisons of data to simulation predictions showed similar trends; however, simulation-predicted incident heat fluxes were lower than measured. 4 ACKNOWLEDGEMENTSThis report concludes a multi-year study of the data from a suite of unique fire experiments. The authors would like to thank the following individuals for their participation in this effort.

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Finite difference calculation of pool fires

Cited by 29 publications

References 4 publications

A joint computational and experimental study to evaluate Inconel-sheathed thermocouple performance in flames.

A joint computational and experimental study to evaluate Inconel-sheathed thermocouple performance in flames.

A Modeling Investigation of Suppressant Distribution from a Prototype Solid-Propellant Gas-Generator Suppression System into a Simulated Aircraft Cargo Bay

Well-characterized open pool experiment data and analysis for model validation and development.

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