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Fire

Fire detection

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Displaying 1 - 25 of 98

An Analysis of Aerosol Dynamics with Diffusion-Limited Growth in a Batch Reactor

December 16, 2024
Author(s)
Jiann Yang, Thomas Cleary, George Mulholland
A set of approximate first-order ordinary differential equations was derived from the general dynamic equation (GDE) to study the aerosol dynamics with homogeneous nucleation and condensational diffusion-limited growth in an isothermal batch reactor. A

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

Measurements and Predictions of the Aerosol Dynamics of Smoke

September 30, 2022
Author(s)
Amy Mensch, Haley Hamza, Thomas Cleary
Better understanding and ability to predict the aerosol dynamics of soot can improve life safety predictions generated by fire modeling tools. NIST's fire modeling tool, Fire Dynamics Simulator (FDS), is commonly used by the international fire protection

Real-time Forecast of Compartment Fire and Flashover based on Deep Learning

April 6, 2022
Author(s)
Tianhang Zhang, Zilong Wang, Ho Yin Wong, Wai Cheong Tam, Xinyan Huang, Fu Xiao
Forecasting building fire development and critical fire events in real-time is of great significance for firefighting and rescue operations. This work proposes an artificial intelligence (AI) system to fast forecast the compartment fire development and

The National Institute of Standards and Technology's Impact on Fire Safety Standards

February 1, 2022
Author(s)
Benjamin M. Miller, Tom Latourrette, Drake Warren, David Metz
Standards provide critical benefits across a wide variety of contexts, including safety and health, environmental protection, and quality of products and services. However, while these benefits are generally acknowledged, estimating the social and economic

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

Validation of Aerosol Dynamics in a Well-Stirred Isothermal Enclosure

September 30, 2021
Author(s)
Amy Mensch, Thomas Cleary
Modeling of aerosol dynamics in fire simulations enables predictions of the effects of soot, such as visibility and detection, and the fate of soot, such as deposition and emissions. NIST's fire modeling tool, Fire Dynamics Simulator (FDS), has implemented

Sensors and Machine Learning Models to Prevent Cooktop Ignition and Ignore Normal Cooking

July 28, 2021
Author(s)
Amy Mensch, Anthony Hamins, Wai Cheong Tam, John Lu, Kathryn Markell, Christina You, Matthew Kupferschmid
According to a recent NFPA report, 49 % of reported home fires involve cooking equipment, with cooktops accounting for 87 % of cooking-fire deaths and 80 % of the civilian injuries [1, 2]. Between 2014–2018, U.S. fire departments responded to an estimated