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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
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
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
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
Exhaust flow measurements are a significant source of uncertainty for measurements of heat release rate in large-scale fire experiments. Irregular flow distributions are often present in the exhaust ducts, making it difficult to measure flow accurately
Raik Hesse, Roman Glaznev, Christian Schwenzer, Valeri I. Babushok, Gregory T. Linteris, Heinz Pitsch, Joachim Beeckmann
Today's hydrofluorocarbon (HFC) refrigerants are designed to have a low global warming potential (GWP), resulting in fast atmospheric decomposition and increased reactivity. This causes them to be mildly flammable. The laminar flame speed SL,u ranks
Christian Schwenzer, Raik Hesse, Roman Glaznev, Valeri I. Babushok, Gregory T. Linteris, Heinz Pitsch, Joachim Beeckmann
The measurement of laminar flame speed is an essential factor in determining the reactivity, exothermicity, and diffusivity of a combustible mixture. In this study, the Schlieren method and Particle Image Velocimetry (PIV) were utilized simultaneously to
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
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
Alex Filkov, Virginie Tihay-Felicelli, Nima Masoudvaziri, David Rush, Andres Valencia, Yu Wang, David Blunck, Mario Valero, Kamila Kempna, Jeruzalemska Jan Smolka, Jacques De Beer, Zakary Campbell-Lochrie, Felipe Centeno, Muhammad Asim Ibrahim Stuvaregatan, Calisa Katiuscia Lemmertz, Wai Cheong Tam
Due to socio-economic and climatic changes around the world, large outdoor fires in the built environment have become one of the global issues that threaten billions of people. The devastating effects of them are indicative of weaknesses in existing
Rodney Bryant, Artur A. Chernovsky, Joseph A. Falco, Iosif Isaakovich Shinder
This report summarizes the design and description for an automated system of velocity traverse probes. Performance of key components of the system are also described. The system is designed for conducting detailed characterizations of flow distributions in