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The purpose of this chapter is to set out the principles of chemical kinetics as they apply to combustion in flames and fires. Chemical equilibrium, which was discussed in a previous chapter, deals with the final preferred state of a given set of reactants
Kevin McGrattan, Isaac Leventon, Scott Bareham, Gabriel Taylor
This report documents a series of fire experiments performed within steel electrical enclosures and on open "ladder back" cable trays. The first objective is to measure the heat release rates and qualitatively understand the burning behavior of circuit
Alec Tripi, Ryan Greene, Isaac Leventon, Kevin McGrattan
Predictions of fire phenomena such as flame structure, stability, and growth made by computational fire models can be improved by incorporating an accurate description of the gaseous volatiles released by combustible solids during pyrolysis. The difficulty
T The combustion of vegetative fuels or biomass has important applications in energy generation, wildfire spread, and structural fire safety. It is critical to be able to accurately quantify the energy content of these fuels (i.e., their respective heats
This study examines variations in fire behavior among over 20 commercially available poly(methyl methacrylate) (PMMA) samples from different suppliers. Previous studies, have demonstrated the importance of kinetic parameters — describing thermal
Accurate exhaust flow monitoring is critical to achieving accurate measurements of heat release rate during large fire experiments. Detailed characterizations of exhaust flow for a large fire research facility were conducted using procedures from standard
Ryan Greene, Alec Tripi, Isaac Leventon, Kevin McGrattan
In order to predict fire phenomena such as flame structure, stability, and growth, computational fire models require an accurate description of the gaseous volatiles released by combustible solids during pyrolysis. The difficulty in this characterization
Combustion of biomass and woody fuels is relevant to energy generation, wildfire spread, and structural fire safety. It is critical to be able to accurately quantify the energy content of these fuels (i.e., their heats of combustion [kJ/g]) and where this
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
This work focuses on validating an Artificial Intelligence (AI) based machine learning model to estimate the heat release rate (HRR) from outdoor fires where the feasibility of performing calorimetry or any other similar technique is challenging or not
Accurate flow measurements at the exhaust systems of large fire test facilities are critical for achieving accurate measurements of heat release rate. A detailed characterization of exhaust flow for the National Fire Research Laboratory (NFRL) has been
Each year since 2014, the Department of Fire Protection Engineering at the University of Maryland has coordinated a Christmas Tree fire safety event to highlight the potential fire risk of dry Christmas Trees. Full-scale fire experiments at these events
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
Karen De Lannoye, Isaac Leventon, Lucie Hasalova, Alexander Belt, Ernst-Arndt Reinecke, Lukas Arnold
16 Cone calorimetry and anaerobic gasification experiments are often used to assess material 17 flammability of bench-scale (coupon sized) samples in response to well-characterized external radiant 18 heating. In this project, it has been observed that the
Kenneth Clark, Michael Gallagher, Nicholas Skowronski, Warren Heilman, Joseph Charney, Matthew M. Patterson, Jason Cole, Eric Mueller, Rory Hadden
Prescribed burning is a cost-effective method for reducing hazardous fuels in pine and oak-dominated forests, but smoke emissions contribute to atmospheric pollutant loads and the potential exists for exceeding Federal air quality standards designed to
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
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
This study investigates a soot deposition measurement technique that relies on the photoacoustic effect of soot. A non-invasive and reliable soot deposition measurement tool would be helpful for fire investigators to quantify burn patterns in a fire scene
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
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
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