U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Search Publications by: Paul A. Reneke (Fed)

Search Title, Abstract, Conference, Citation, Keyword or Author
Displaying 151 - 175 of 204

International Study of the Sublethal Effects of Fire Smoke on Survivability and Health (SEFS): Phase 1. Final Report (NIST TN 1439)

August 1, 2001
Author(s)
Richard G. Gann, Jason D. Averill, Kathryn M. Butler, Walter W. Jones, George W. Mulholland, J L. Neviaser, Thomas J. Ohlemiller, Richard D. Peacock, Paul A. Reneke, J R. Hall
Fire smoke toxicity has been a recurring theme for fire safety professionals for over four decades. There especially continue to be difficulty and controversy in assessing and addressing the contribution of the sublethal effects of smoke in hazard and risk

Sublethal Effects of Smoke on Survival and Health

March 26, 2001
Author(s)
Richard G. Gann, Jason D. Averill, Kathryn M. Butler, Walter W. Jones, George W. Mulholland, J L. Neviaser, Thomas J. Ohlemiller, Richard D. Peacock, Paul A. Reneke, J R. Hall

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

Comparison of CFAST Predictions to USCG Real-Scale Fire Tests.

January 1, 2000
Author(s)
Paul A. Reneke, Walter W. Jones, M J. Peatross, C L. Beyler, R Richards
The zone model CFAST was used to make predictions of single room pre-flashover tire tests conducted in a steel enclosure. These results were then compared with previously published measurements obtained in fire tests. Tests included diesel pool fires

Development of a Hazard-Based Method for Evaluating the Fire Safety of Passenger Trains

June 29, 1999
Author(s)
Richard W. Bukowski, Richard D. Peacock, Paul A. Reneke, Jason D. Averill, S. H. Markos
The fire safety of U.S. passenger rail trains currently is addressed through small-scale flammability and smoke emission tests and performance criteria promulgated by the Federal Railroad Administration (FRA). The FRA approach relies heavily on test

Defining Flashover for Fire Hazard Calculations

June 1, 1999
Author(s)
Richard D. Peacock, Paul A. Reneke, Richard W. Bukowski, Vyto Babrauskas
As the use of performance-based methods for evaluating the fire behavior of materials and systems becomes more widespread, objective criteria to judge fire behavior become more important. This paper reviews techniques for predicting the most common of

Quantifying Fire Model Evaluation Using Functional Analysis

January 1, 1999
Author(s)
Richard D. Peacock, Paul A. Reneke, William D. Davis, Walter W. Jones
Comparisons of predictive fire models with each other or with experimental data have been largely qualitative. By treating these time series curves as infinite-dimensional vectors, a branch of mathematics called functional analysis defines geometrically

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

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