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This document serves as the documentation for the Fire Data Generator (FD-Gen), an automated tool designed to streamline the creation of multiple Fire Dynamics Simulator (FDS) input files. By employing Monte Carlo methods to sample relevant fire parameters
Kunhyuk Sung, Ryan Falkenstein-Smith, Matthew Bundy, Marco Fernandez, Anthony Hamins
A series of experiments are reported that characterize key features of the structure of eight medium-scale pool fires (0.3 m to 0. 4 m) burning a variety of liquid and gaseous fuel types, including 30 cm diameter liquid pool fires burning methanol, ethanol
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
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
7 The fire modeling community is actively working to develop the tools needed to quantitatively predict material 8 and product flammability behavior (e.g., ignition, burning rate, fire growth). Such predictions require accurate 9 and efficient simulation
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
Isaac Leventon, Michael Heck, Kevin B. McGrattan, Matthew Bundy, Rick D. Davis
This report provides an overview of quantitative measurement data and visual observations obtained from a series of 52 full-scale fire growth experiments conducted on 16 unique combustible solids including: natural and synthetic polymers, copolymers
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
Jian Chen, Zhenghui Wang, Yanni Zhang, Yang Li, Wai Cheong Tam, Depeng Kong, Jun Deng
There are many potential hazards related with hot surface in industrial processes. Therefore, the ignition characteristics of liquid fuels on hot surfaces play an important role for fire safety engineering involved with energy utilization. In this study
In this work, we compiled and evaluated various properties pertaining to the heats of combustion of about 420 compounds of physical, chemical, and engineering interest. This includes boiling points, melting points, latent heats (enthalpies) of vaporization
Jason Floyd, Morgan Bruns, Isaac Leventon, Kevin B. McGrattan
12 This poster presents Fire Dynamics Simulator (FDS) simulations of anerobic, PMMA, gasification tests 13 performed by the National Institute of Standards and Technology for MaCFP-3. 14 Five sets of simulations where performed: 15 1. Simulations of an
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
Eric Mueller, Zakary Campbell-Lochrie, Carlos Walker-Ravena, Rory Hadden
Computational fluid dynamics (CFD) models have increased in use for studying scenarios relevant to wildland fires, such as examination of the driving processes in flame spread in vegetative fuels. However, these tools utilize a complex set of submodels
This manuscript presents new measurement data from milligram-scale thermal decomposition experiments - thermogravimetric analysis (TGA) and microscale combustion calorimetry (MCC) – conducted on stems and leaves of six plant species commonly found across
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
This report documents a series of fire experiments performed within steel electrical enclosures. The objective is to validate a simple empirical model that predicts the maximum heat release rate of a fire within a closed compartment as a function of its
Eric Mueller, Michael Gallagher, Nicholas Skowronski, Rory Hadden
To properly parameterize physics-based models of wildland fire behavior, it is necessary to understand the magnitude of convective heat transfer in various scenarios. In order to do so, we isolated the convective heating process in an idealized wildland
Kevin B. McGrattan, Randall J. McDermott, Jason E. Floyd
A relatively simple two-step combustion model is proposed for predicting soot and CO generation in under-ventilated fire simulations. The scheme consists of two mixing-controlled reaction steps performed in series. Validation calculations are described