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Fire

Fire modeling

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Displaying 176 - 200 of 276

Fire Dynamics Simulator, Technical Reference Guide, Sixth Edition

November 4, 2013
Author(s)
Kevin B. McGrattan, Randall J. McDermott, Craig G. Weinschenk, Glenn P. Forney
This document provides the theoretical basis for the Fire Dynamics Simulator (FDS), following the general framework set forth in the “Standard Guide for Evaluating the Predictive Capability of Deterministic Fire Models,” ASTM E 1355. It is a four volume

Stair evacuation of older adults and people with mobility impairments

October 31, 2013
Author(s)
Erica D. Kuligowski, Richard D. Peacock, Emily Wiess, Bryan Hoskins
Engineers analyze occupant movement data for the safety and protection of a population during emergency building evacuations. Quantifiable variables, such as: stairwell geometry, pre-evacuation delay, occupant speed, and population density form engineering

A method for the analysis of behavioural uncertainty in evacuation modelling

July 9, 2013
Author(s)
Enrico Ronchi, Paul A. Reneke, Richard D. Peacock
Evacuation models generally include the use of distributions or probabilistic variables to simulate the variability of possible human behaviours. A single model setup of the same evacuation scenario may therefore produce a distribution of different

Applications of Heat Transfer Fundamentals to Fire Modeling

June 25, 2013
Author(s)
Ofodike A. Ezekoye, M J. Hurley, Jose L. Torero, Kevin B. McGrattan
The fire industry relies on fire engineers and scientists to develop materials and technologies used to either resist, detect, or suppress fire. While combustion processes are the drivers for what might be considered to be fire phenomena, it is heat

Greenhouse Gas Emissions and Dispersion #2. Comparison of FDS Predictions with Gas Velocity Measurements in the Exhaust Duct of a Stationary Source

April 25, 2013
Author(s)
Kuldeep R. Prasad, Kevin Li, Elizabeth F. Moore, Rodney A. Bryant, Aaron N. Johnson, James R. Whetstone
The burning of fossil fuels remains a major source of greenhouse gases responsible for global warming and climate change. In order to reduce greenhouse gas emissions, it is imperative to develop a capability to accurately measure these emissions from point

Greenhouse Gas Emissions and Dispersion 1. Optimum placement of gas inlets on a building rooftop for the measurement of greenhouse gas concentrations

April 22, 2013
Author(s)
Kuldeep R. Prasad, Anthony Bova, James R. Whetstone, Elena Novakovskaia
Inverse atmospheric dispersion models are used to provide measurement-based, or “topdown”, estimates of greenhouse gas (GHG) emissions for comparison with input-based, or “bottom-up”, estimates. To minimize uncertainty, inverse estimates require accurate
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