An official website of the United States government
Here’s how you know
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Kuldeep R. Prasad, Adam L. Pintar, Heming Hu, Israel Lopez Coto, Dennis T. Ngo, James R. Whetstone
Recent development of accurate instruments for measuring greenhouse gas concentrations and the ability to mount them in ground based vehicles has provided an opportunity to make temporally and spatially resolved measurements in the vicinity of suspected
Kevin B. McGrattan, Richard D. Peacock, Kristopher J. Overholt
The paper highlights key components of a fire model validation study conducted by the U.S. Nuclear Regulatory Commission and the Electric Power Research Institute. These include the selection of fire phenomena of interest to nuclear power plant safety, the
Donald R. Burgess Jr., Valeri I. Babushok, Gregory T. Linteris, Jeffrey A. Manion
The present paper is concerned with the development of a detailed chemical kinetic mechanism to describe the flame inhibition chemistry of the fire suppressant 2-bromo-3,3,3-trifluoropropene (2-BTP). Currently 2-BTP is considered as a fire suppressant to
Jiann C. Yang, Matthew F. Bundy, John L. Gross, Anthony P. Hamins, Fahim Sadek, Anand Raghunathan
This report summarizes the results of the global meeting to develop the International R&D Roadmap for Fire Resistance of Structures (the Roadmap) held May 2122, 2014, in Gaithersburg, Maryland. The workshop was sponsored by the National Institute of
Craig G. Weinschenk, Kristopher Overholt, Daniel M. Madrzykowski
Fire Dynamics Simulator (FDS), which is a fire model that is developed and maintained by the Na- tional Institute of Standards and Technology (NIST), was used to provide insight into the dynamics of a fire that occurred on February 24, 2012, within a
Kinetic parameters for serial pyrolysis reactions were calibrated from thermo- gravimetric analysis (TGA) data using Bayesian inference via Markov Chain Monte Carlo (MCMC) simulations. The resulting inferences are probabilistic as opposed to the point
Kristopher J. Overholt, Craig G. Weinschenk, Daniel M. Madrzykowski
Fire Dynamics Simulator (FDS), which is a fire model that is developed and maintained by the National Institute of Standards and Technology (NIST), was used to provide insight into the dynamics of a fire that occurred on June 2, 2011, within a multi-level
Craig G. Weinschenk, Daniel M. Madrzykowski, Kristopher J. Overholt
The Fire Dynamics Simulator (FDS) fire model, which is developed and maintained by the National Institute of Standards and Technology (NIST), was used to provide insight into the dynamics of a fire that occurred on November 2, 2012, within a 2 1⁄2 story
This report summarizes FDS development and support activities performed the during the 2012-2013 grant period of 70NANB11H172. A brief overview of the major and minor accomplishments are provided below. More detailed discussions follow in the remainder of
Kevin B. McGrattan, Richard D. Peacock, Kristopher J. Overholt
In 2007, the U.S. NRC, together with the Electric Power Research Institute (EPRI) and the National Institute of Standards and Technology (NIST), conducted a research project to verify and validate five fire models that have been used for NPP applications
Kevin B. McGrattan, Randall J. McDermott, Glenn P. Forney, Kristopher J. Overholt, Craig G. Weinschenk, Jason E. Floyd
The Fire Dynamics Simulator (FDS) was first publicly released in 2000, and it has recently undergone its fifth major revision. Since its first release, FDS has been applied in three major areas: basic research in fire dynamics, performance-based design
Quantitative fire risk analysis can be used to conduct safety assessments at nuclear facilities to evaluate the consequences of potential fire scenarios that can damage structures, systems, and components. Point estimates or bounding analyses are commonly
Donald R. Burgess Jr., Jeffrey A. Manion, Valeri I. Babushok, Gregory T. Linteris
We developed a new chemical mechanism for modeling flame inhibition by 2-bromotrifluoropene (2-BTP). The modeling results qualitatively predicted agent behavior in cup-burner and FAA Aerosol Can tests over a wide range of conditions. The ban on igh ozone