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Fire

Fire modeling

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Displaying 151 - 175 of 276

Modeling of 2-bromotrifluoropropene flame inhibition

August 14, 2014
Author(s)
Donald R. Burgess Jr., Jeffrey A. Manion, Valeri I. Babushok, Gregory T. Linteris
We developed a new chemical mechanism for modeling flame inhibition by 2-bromotrifluoropene (2-BTP). The modeling results qualitatively predicted agent behavior in cup-burner and FAA Aerosol Can tests over a wide range of conditions. The ban on igh ozone

Quantification of Methane Emissions From Street Level Data

July 2, 2014
Author(s)
Kuldeep R. Prasad
Kuldeep Prasad(1), Brian Lamb(2), Maria Obiminda Cambaliza(3), Tegan Lavoie(3), Olivia E Salmon(3), Paul Shepson(3), Thomas Lauvaux(4), Ken Davis(4), and James R. Whetstone(1) (1) National Institute of Standards and Technology, Gaithersburg, MD. (2)

Quantitative Infrared Imaging of Impinging Turbulent Buoyant Diffusion Flames

July 2, 2014
Author(s)
Randall J. McDermott, Ashish Newale, Brent Rankin, Harshad Lalit, Jay P. Gore
Radiation from buoyant diffusion flames with and without impingement on a flat plate is studied using a unique quantitative comparison of measured and simulated images. The coupling between the stagnation boundary layer and upstream buoyant shear layer

Computational Modeling and Validation of Aerosol Deposition in Ventilation Ducts

June 20, 2014
Author(s)
Kristopher J. Overholt, Jason Floyd, Ofodike A. Ezekoye
In fire models, the accurate prediction of aerosol/soot concentrations in the gas phase and aerosol/soot deposition thicknesses in the condensed phase is important for a wide range of applications, including human egress calculations, heat transfer in

Influence of Flame Characteristics on Gas- Phase Fire Retardant Effectiveness

May 30, 2014
Author(s)
Gregory T. Linteris, Nicolas Bouvet, Valeri I. Babushok, Fumiaki Takahashi, Viswanath R. Katta, Stanislav Stoliarov, Peter B. Sunderland
The presentation discusses the influence of flame characteristics on gas-phase fire retardant effectiveness. First, the action of super-effective agents in co-flow diffusion flames is reviewed, highlighting how particle formation had a detrimental effect

Fire Model Validation – Eight Lessons Learned

March 6, 2014
Author(s)
Kevin B. McGrattan, Richard D. Peacock, Kristopher J. Overholt
This paper provides a summary of a decade-long effort to verify and validate a variety of different fire models used in the commercial nuclear industry. The lessons learned apply to any industry in which fire models are used in a regulatory context. The

Stair Evacuation of People with Mobility Impairments

March 3, 2014
Author(s)
Erica D. Kuligowski, Richard Peacock, Bryan Hoskins, Emily Wiess
The time that it takes a population to reach safety when descending a stairwell during building evacuations is typically described by measureable engineering variables. These engineering variables include stairwell geometry, speed, density, and pre

Quantitative Testing of Fire Scenario Hypotheses: A Bayesian Inference Approach

January 16, 2014
Author(s)
Kristopher J. Overholt, Ofodike A. Ezekoye
Fire models are routinely used to evaluate life safety aspects of building design projects and are being used more often in fire and arson investigations as well as reconstructions of firefighter line-of-duty deaths and injuries. A fire within a

Quantification of Methane Source Locations and Emissions

December 13, 2013
Author(s)
Kuldeep R. Prasad
Kuldeep Prasad(1), Brian Lamb(2), Maria Obiminda Cambaliza(3), Tegan Lavoie(3), Olivia E Salmon(3), Paul Shepson(3), Thomas Lauvaux(4), Ken Davis(4), and James R. Whetstone(1) (1) National Institute of Standards and Technology, Gaithersburg, MD. (2)

Fire Dynamics Simulator Users Guide, Sixth Edition

November 4, 2013
Author(s)
Kevin B. McGrattan, Randall J. McDermott, Craig G. Weinschenk, Glenn P. Forney
This Guide describes how to use the Fire Dynamics Simulator (FDS), a software package used to simulate the impact of fire on buildings.
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