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Search Publications by: Thomas Cleary (Fed)

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Displaying 26 - 50 of 291

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

Detection of Smoke From Microgravity Fires

October 12, 2021
Author(s)
D L. Urban, DeVon Griffin, Gary Ruff, Thomas Cleary, Jiann C. Yang, George W. Mulholland, Zeng-guang Yuan
The history and current status of spacecraft smoke detection is discussed including a review of the state of understanding of the effect of gravity on the resultant smoke particle size. The results from a spacecraft experiment (Comparative Soot Diagnostics

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

Response Time Impact of Smoke Alarms

September 9, 2021
Author(s)
Stanley W. Gilbert, Thomas Cleary, Paul A. Reneke, Richard Peacock, David Butry
It can be assumed that smoke alarms reduce reported fires and casualties by reducing on average the amount of time it takes to detect a fire. This paper sets out to determine by how much that detection time is reduced. It does so by comparing the effect of

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

Assessing Fire Smoke to Predict Backdraft and Smoke Explosion Potential

June 3, 2020
Author(s)
Ryan Falkenstein-Smith, Thomas Cleary
The Fire Research Division at the National Institute of Standards and Technology is investigating the ability to forecast backdraft or smoke explosions during a fire event using a phi meter. Compared to other gas sensors, a phi meter can measure the global

Measurements and Predictions of Thermophoretic Soot Deposition

November 1, 2019
Author(s)
Amy E. Mensch, Thomas G. Cleary
A thin laminar flow channel with a transverse temperature gradient was used to examine thermophoretic deposition of soot aerosol particles in experiments and modeled in Fire Dynamics Simulator (FDS) simulations. Conditions investigated included three