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Chandan Paul, Somesh Roy, Johannes Sailer, Fabian Braennstroem, Mohamed Ahmed, Arnaud Trouve, Hadi Bordbar, Simo Hostikka, Randall J. McDermott
This work reports benchmark data sets for radiative heat transfer in two distinct fire configurations obtained from the Measurement and Computation of Fire Phenomena (MaCFP) working group database. The cases include a 19.2 kW non-sooting turbulent methanol
Isaac Leventon, Michael Heck, Kevin B. McGrattan, Matthew Bundy, Rick D. Davis
This paper provides an overview of selected measurements from a series of 90 full-scale fire experiments quantifying the impact of material composition on full-scale burning and fire growth behavior. Samples were selected to provide a wide range of
Qi Tong, Hongqiang FANG, Eugene Yujun Fu, Wai Cheong Tam, Thomas Gernay
The proposed research aims to leverage machine learning to detect thermal operating classes and improve the tenability of firefighters in a commercial building. A total of 3000 simulations are run with FDS to collect temperature from heat detectors. The
A multi-input and multi-output (MIMO) machine learning model is developed to simultaneously detect firefighter's thermal risks across a commercial building structure. A total of 2000 numerical experiments with a wide range of fire and ventilation scenarios
Deep learning model has been a viable approach to forecast critical events in fire development. However, prior to its implementation in real-life firefighting, it is imperative to further understand the black box and assess its rationale. In this paper, an
Anthony Marcozzi, Lucas Wells, Russel Parsons, Eric Mueller, Rodman Linn, Kevin Hiers
Acquiring detailed 3D fuel data for advanced fire models remains challenging, particularly at large scales. This study presents FastFuels, a novel platform designed to generate detailed 3D fuel data and accelerate the use of advanced fire models. FastFuels
Gabriel Taylor, Anthony D. Putorti Jr., Scott Bareham, Christopher U. Brown, Wai Cheong Tam, Michael Heck, Lucy Fox, Stephen Fink, Michael Selepak, Edward Hnetkovsky, Nicholas Melly, Kenneth Hamburger, Kenneth Miller
This report documents an experimental program designed to collect data and information to evaluate the performance of models developed to estimate the electrical high energy arcing fault (HEAF) hazard. This report covers full-scale laboratory experiments
A novel approach for estimating transient heat release rate from fire images and video using deep learning techniques is presented. The heat release rate (HRR) is the most critical parameter in characterizing the fire hazard and thermal effects of a
Bi-directional probes are utilized throughout fire research and testing to measure fire induced flows due to their ability to measure flow which changes direction, and to withstand hostile environments. However, they are not available commercially and
Total absorptivity of glass in the presence of a N2/CO2/H2O is determined numerically using the glass spectral optical properties and the spectroscopic data from RADCAL. Results show that mixture properties (surface temperature, mixture temperature, and
Emma Veley, Amy Mensch, Ryan Falkenstein-Smith, Thomas Cleary
The dissemination of soot particles onto surfaces in a compartment fire is affected by local radiation and temperature gradients. Subsequently, any deposition model must account for the influence of photopheresis and thermophoresis on the deposition
Tarek Beji, Talal Fateh, Jason Floyd, hugues Pretrel, Anthony Hamins
The use of fire models to support fire protection engineering decisions requires an understanding of model shortcomings and assurance in their predictive robustness. This note is a summary of the online 'compartment fire' workshop that was organized prior
Eugene Yujun Fu, Wai Cheong Tam, Tianhang Zhang, Xinyan Huang
The lack of information on the fire ground has always been the leading factor in making wrong decisions . Wrong decisions can be made by individual firefighters, their local chiefs, and/or the incident commander. Any wrong decision at any level (scale)
Residential upholstered furniture (RUF) is the leading combustible in fatal fires in the United States. In the last few decades, fire-retardant (FRs) chemicals have been largely used in attempt to reduce RUF flammability; however, concerns about possible
Marcos Vanella, Ryan Falkenstein-Smith, Thomas Cleary
An extensive set of backdraft experiments has been performed at the NIST National Fire Research Laboratory. These experiments were conducted in a reduced scale compartment, and are part of defining the conditions conducive to backdraft. Further, the
Mohammed Morovat, Joseph Main, Jonathan Weigand, Malcolm Ammons, Fahim H. Sadek, Long Phan
This report describes the development and validation of a computational modeling approach for steel gravity frames with composite floor systems subjected to fire exposure. A full-scale compartment fire test conducted on a two-story steel gravity frame
Isaac Leventon, Mahdi Tlemsani, Mohammadhadi Hajilou, Xiaoyu Ju, Michael Gollner
9 Between December 2019 and January 2020, 14 full-scale experiments were conducted at the University of 10 Maryland (UMD) in collaboration with the National Institute of Standards and Technology (NIST) to measure 11 variations in burning behavior and fireb
Jienan Li, Michael F. Link, Shubhrangshu Pandit, Marc Webb, Cholaphan Deeleepojananan, Kathryn Mayer, Lauren Garofalo, Katelyn Rediger, Dustin Poppendieck, Stephen Zimmerman, Marina Vance, Vicki Grassian, Glenn Morrison, Barbara Turpin, Delphine Farmer
Wildfires are increasing in frequency, raising concerns that smoke can permeate indoor environments and expose people to chemical air contaminants. To study smoke transformations in indoor environments and evaluate mitigation strategies, we added smoke to
Gabriel Taylor, Anthony D. Putorti Jr., Scott Bareham, Christopher U. Brown, Wai Cheong Tam, Ryan Falkenstein-Smith, Stephen Fink, Michael Heck, Edward Hnetkovsky, Nicholas Melly, Kenneth Hamburger, Kenneth Miller
This report documents an experimental program designed to investigate high energy arcing fault (HEAF) phenomena for medium-voltage, metal-enclosed bus ducts and switchgear. This report covers full-scale laboratory experiments using representative nuclear
Ashley Russell, Kerrianne Buchanan, David Griffith, Heather Evans, Dimitrios Meritis, Lisa Ng, Anna Sberegaeva, Michelle Stephens
The 2023 National Institute of Standards and Technology Environmental Scan provides an analysis of key external factors that could impact NIST and the fulfillment of its mission in coming years. The analyses were conducted through three separate lenses
Recent experiments show that strong vortices, similar to fire whirls, can form far from a fire front in the region of smoldering fuel. These buoyancy-induced columnar vortices, visualized by entrained smolder smoke, were observed lofting hot embers into
An upward, buoyancy-driven flame spread on combustible solids is frequently the dominant contributor to the growth of fire in built environment. Thus, an ability to accurately predict the development of a fire is strongly linked to the accuracy of flame