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: Richard D. Peacock (Assoc)

Search Title, Abstract, Conference, Citation, Keyword or Author
Displaying 1 - 25 of 179

Real-Time Flashover Prediction Model for Multi-Compartment Building Structures Using Attention Based Recurrent Neural Networks

March 17, 2023
Author(s)
Wai Cheong Tam, Eugene Yujun Fu, Jiajia Li, Richard D. Peacock, Paul A. Reneke, Thomas Cleary, Grace Ngai, Hong Va Leong, Michael Xuelin Huang
This paper presents the development of an attention based bi-directional gated recurrent unit model, P-Flashv2, for the prediction of potential occurrence of flashover in a traditional 111 m2 single story ranch-style family home. Synthetic temperature data

A Generic Flashover Prediction Model for Residential Buildings Using Graph Neural Network

November 11, 2021
Author(s)
Wai Cheong Tam, Eugene Yujun Fu, Paul A. Reneke, Richard D. Peacock, Thomas Cleary
A generic graph neural network-based model is developed to predict the potential occurrence of flashover for different building structures. The proposed model transforms multivariate temperature data into graph-structure data. Utilizing graph convolution

Predicting Flashover Occurrence using Surrogate Temperature Data

February 9, 2021
Author(s)
Andy Tam, Eugene Yujun Fu, Richard Peacock, Paul A. Reneke, Jun Wang, Grace Ngai, Hong Va Leong, Thomas Cleary
Fire fighter fatalities and injuries in the U.S. remain too high and fire fighting too hazardous. Until now, fire fighters rely only on their experience to avoid life-threatening fire events, such as flashover. In this paper, we describe the development of

On the Use of Machine Learning Models to Forecast Flashover Occurrence in a Compartment

September 15, 2020
Author(s)
Jun Wang, Andy Tam, Paul A. Reneke, Richard Peacock, Thomas Cleary, Eugene Yujun Fu, Grace Ngai, Hong Va Leong
This paper presents a study to examine the potential use of machine learning algorithms to build a model to forecast the likelihood of flashover occurrence for a single-floor multi-room compartment. Synthetic temperature data for heat detectors from

Towards a Process to Quantify the Hazard of Fire Protection Design Alternatives

May 1, 2019
Author(s)
Paul A. Reneke, Morgan Bruns, Stanley W. Gilbert, Chandler P. MacLaren, Richard D. Peacock, Thomas G. Cleary, David T. Butry
There are a variety of fire protection technologies that have the potential to improve life safety in residences including barrier fabrics for upholstered furniture, new nano-scaled flame retardants, or better fire detector technology. However, there is no

The Long-Term Maintenance of CFAST

September 20, 2017
Author(s)
Kevin B. McGrattan, Richard D. Peacock, Glenn P. Forney
Even though zone fire models may seem like yesterday’s news, they still play a vital role in many aspects of fire protection engineering. How do we maintain this technology as it moves from a topic of research to a case study in knowledge management?

Federal Investigation of the Evacuation of the World Trade Center on September 11, 2001

February 19, 2017
Author(s)
Jason D. Averill, Dennis S. Mileti, Richard D. Peacock, Erica D. Kuligowski, N Groner, Guylene Proulx, H Nelson
This paper presents the findings of the NIST World Trade Center Investigation describing the occupant evacuation of WTC 1 and WTC 2 on September 11, 2001. The egress system, including stairwells and elevators, is described along with the evacuation

Smoke Toxicity Data for Fire Hazard and Risk Assessment of Cable Products

February 19, 2017
Author(s)
Richard Gann, Richard D. Peacock, Jason D. Averill, Marc R. Nyden
This report presents the methodology for and results from a series of room-scale fire tests to produce data on the yields of toxic products in both pre-flashover and post-flashover fires. Trays of common household electric cable burned in a room with a

Verification and Validation of CFAST, A Model of Fire Growth and Smoke Spread

February 19, 2017
Author(s)
Walter W. Jones, Richard D. Peacock, Glenn P. Forney, Paul A. Reneke
CFAST is a zone model capable of predicting the environment in a multi-compartment structure subjected to a fire. It calculates the time evolving distribution of smoke and fire gases and the temperature throughout a building during a user-specified fire

Perspectives of Occupants with Mobility Impairments on Fire Evacuation and Elevators

August 15, 2016
Author(s)
Kathryn M. Butler, Susanne M. Furman, Erica D. Kuligowski, Richard D. Peacock
The purpose of this report is to provide guidance for designers, building managers, and fire emergency personnel on how to improve communication, procedures, and elevator usage during fire emergencies, based on a study of the evacuation experiences of

Movement on Stairs During Building Evacuations

June 8, 2016
Author(s)
Richard D. Peacock, Paul A. Reneke, Erica D. Kuligowski, Robert C. Hagwood
The time that it takes an occupant population to reach safety when descending a stair during building evacuations is typically estimated by measureable engineering variables such as stair geometry, speed, stair density, and pre-observation delay. In turn

Validation of Fire Models Applied to Nuclear Power Plant Safety

September 1, 2015
Author(s)
Kevin B. McGrattan, Richard D. Peacock, Kristopher J. Overholt
The paper highlights key components of a fire model validation study conducted by the U.S. Nuclear Regulatory Commission and the Electric Power Research Institute. These include the selection of fire phenomena of interest to nuclear power plant safety, the