Fire Research Division

Analysis and Prediction Group

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The Analysis and Prediction Group develops understanding and predictive methods of dynamic fire phenomena to advance fire science and engineering practice, reduce fire hazards, and improve fire protection and fire fighting. It performs research to enhance the understanding of the physics of fires to improve predictions of the growth, spread, suppression, and emissions from fires of all scales, and it uses experiments, analysis, metrology, and advanced computer simulations to improve predictions of fire phenomena.

Recent Results

Recent research results are documented in a number of recent publications and at the following internet sites, which describe the CFAST and FDS fire models: http://fast.nist.gov/ ; http://fire.nist.gov/fds/ .

Post-Doc Program

Outstanding applicants are sought for a number of postdoctoral fellowships available through the National Research Council Associate Program. Group members act as research advisors for Post-Doctoral Fellows in a variety of project areas. 

Model and measurements of water suppression in a warehouse fire.		FDS model and measurements of candle flames.
Image of a near-extinction methane-air non-premixed flame and false color temperature map calculated using FDS.	FDS Simulation of the WTC fires.	Image of a fire at an oil tank farm calculated using FDS.
Prediction of smoke and heat transport in a burning residence using FDS.

 

Staff

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G. Forney	S. Haga	A. Hamins	B. Klein	A. Lock
R. McDermott	J. McElroy	K. McGrattan	A. Maranghides	W. Mell
K. Prasad

Guest Scientists

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A. Atreya	H. Baum	A. Bone	G. Ko
R. Rehm	J. Zurenko

 

Contact:

Anthony Hamins, Leader
(301) 975-6598
email: anthony.hamins@nist.gov

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