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Search Publications by: Glenn P. Forney (Fed)

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Displaying 76 - 100 of 122

Sensor-Driven Inverse Zone Fire Model

February 23, 2000
Author(s)
William D. Davis, Glenn P. Forney
As sensor use in buildings becomes more wide spread, it is possible to use this information as input to an inverse fire model in order to enhance the value of the information available from sensors in both fire and non-fire conditions. Typical fire models

A User's Guide for FAST: Engineering Tools for Estimating Fire Growth and Smoke Transport

January 3, 2000
Author(s)
Richard D. Peacock, Paul A. Reneke, Walter W. Jones, Richard W. Bukowski, Glenn P. Forney
FAST is a collection of fire modeling tools which uses the underlying fire model CFAST and adds the routines of FIREFORM to provide engineering calculations of fire phenomena in compartmented structures. This manual provides documentation and examples for

Fire Dynamics Simulator: Technical Reference Guide (NISTIR 6467)

January 1, 2000
Author(s)
Kevin B. McGrattan, Howard R. Baum, Ronald G. Rehm, Anthony P. Hamins, Glenn P. Forney
The idea that the dynamics of a fire might be studied numerically dates back to the beginning of the computer age. Indeed, the fundamental conservation equations governing fluid dynamics, heat transfer, and combustion were first written down over a century

Fire Dynamics Simulator: User's Manual (NISTIR 6469)

January 1, 2000
Author(s)
Kevin B. McGrattan, Glenn P. Forney
Fire Dynamics Simulator (FDS) is a computational fluid dynamics (CFD) model of fire-driven fluid flow. The software described in this document solves numerically a form of the Navier-Stokes equations appropriate for low-speed, thermally-driven flow with an

Modeling of Sprinkler, Vent and Draft Curtain Interaction

July 5, 1999
Author(s)
Kevin B. McGrattan, Anthony P. Hamins, Glenn P. Forney
The International Fire Sprinkler, Smoke & Heat Vent, Draft Curtain Fire Test Project organized by the National Fire Protection Research Foundation (NFPRF) brought together a group of industrial sponsors to support and plan a series of large scale tests to

Numerical Simulation of Sprinkler Performance

February 24, 1999
Author(s)
Kevin B. McGrattan, Glenn P. Forney
Rapidly, changing building designs, uses, materials, contents, fire protection and the general intermix of industrial/commercial and residential occupancies has created a need to understand the potential hazards and losses from fires and performance of

Using Sensor Data to Predict the Environment in a Building

February 25, 1998
Author(s)
Walter W. Jones, Richard D. Peacock, Glenn P. Forney, Paul A. Reneke
As transducers become more commonplace in the built environment, it is desirable to utilize this information in a more complete way to assure safety. There are two fi to doing this, incorporating our knowledge of fires and other extreme events into the

Field Modeling: Simulating the Effects of HVAC Induced Air Flow From Various Diffusers and Returns on Detector Response. International Fire Detection Research Project. Year 4 Report/Data

January 1, 1998
Author(s)
J H. Klote, William D. Davis, Glenn P. Forney, Richard W. Bukowski
Rapid activation of fire protection systems in response to a growing fire is one of the important factors required to provide for life safety and property protection. Airflow due to the heating, ventilating and air conditioning (HVAC) system can

Issues in Evaluation of Complex Fire Models

January 1, 1998
Author(s)
Richard D. Peacock, Paul A. Reneke, Glenn P. Forney, M. M. Kostreva
Several methods of evaluation of the predictive capability have been applied to fire models, but with limited utility. These range from explicit evaluation of the equations used in simple models such as ASET to pointwise evaluation of complex models from

FireCAD Development for Hazard Analysis

August 10, 1997
Author(s)
J. A. Cappuccio, Walter W. Jones, Glenn P. Forney
ABSTRACT ONLY This paper addresses the development of FireCAD, a tool for performing Fire Hazard Analysis using the capabilities of the computer aided design tool, AUTOCAD, and the zone fire model, CFAST. FireCAD uses an AUTOCAD drawing as a basis for

Comparison of CFAST Predictions to Real Scale Fire Tests

October 15, 1996
Author(s)
Walter W. Jones, J. L. Bailey, P. A. Tatem, Glenn P. Forney
This paper describes a new algorithm of the Consolidated Fire Growth and Smoke Transport (CFAST) fire model and compares to data from real scale fire tests conducted onboard the ex-USS SHADWELL, the Navy's R&D Damage Control Platform. The new phenomenon

Suppression of Engine Nacelle Fires (NIST SP 890)

November 1, 1995
Author(s)
Anthony P. Hamins, Thomas G. Cleary, P. Borthwick, N Gorchkov, Kevin B. McGrattan, Glenn P. Forney, William L. Grosshandler, Cary Presser, L Melton
A series of experimental measurements were conducted and simple models were developed in an effort to provide an improved understanding of the influence of various parameters on the processes controlling flame stability in engine nacelle applications. The

Computing the Effect of Sprinkler Sprays on Fire Induced Gas Flow

September 10, 1995
Author(s)
Glenn P. Forney, Kevin B. McGrattan
Over the last twenty years there has been much debate concerning the interaction of sprinklers and draft curtains in large storage facilities. At issue is whether or not the two fire protection systems are mutually beneficial. It has been suggested that in

Simulating the Effect of Flat Beamed Ceiling on Detector and Sprinkler Response

November 6, 1994
Author(s)
Glenn P. Forney, Richard W. Bukowski, William D. Davis
This paper documents a portion of the work performed during the first year of the International Fire Detection Research Project sponsored by the National Fire Protection Research Foundation (NFPRF). The first task was to confirm that fire sensor response

Field Modeling: Simulating the Effect of Sloped Beamed Ceilings on Detector and Sprinkler Response. International Fire Detection Research Project. Technical Report. Year 2

October 1, 1994
Author(s)
William D. Davis, Glenn P. Forney, Richard W. Bukowski
The rapid activation of fire detection and suppression systems in response to a growing fire is one of the important factors required to provide for life safety and property protection. Rapid activation requires that sensors be located at optimal distances