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Severe wildfire disasters are often the product of numerous factors — vegetation, drought, a lack of firefighting resources, and many others — coalescing
Researchers at the National Institute of Standards and Technology (NIST) have developed a new, interactive spreadsheet that will help the U.S. military
On a brisk November morning in 2018, a fire sparked in a remote stretch of canyon in Butte County, California, a region nestled against the western slopes of
Firefighters rely on self-contained breathing apparatuses (SCBA) to protect them from dangerous heat and toxic smoke. NIST research helped to improve industry
The performance of fire fighting equipment and gear is critical for the safety and effectiveness of fire fighters. Current equipment standards and test methods
The research in this program (Fire Risk Reduction in Buildings, FRRiB) will enable reductions in the two single largest components of this U.S. structure fire
In 2011, the fire departments in the United States responded to more than 484,5001 structure fires. These fires resulted in approximately 2,640 civilian
To reduce the flammability of residential upholstered furniture (RUF), the fire safety community has developed test methods and mitigation strategies based on
Jun Wang, Andy Tam, Youwei Jia, Richard Peacock, Paul A. Reneke, Eugene Yujun Fu, Thomas Cleary
Research was conducted to examine the use of Support Vector Regression (SVR) to build a model to forecast the potential occurrence of flashover in a single
Andy Tam, Eugene Yujun Fu, Richard Peacock, Paul A. Reneke, Jun Wang, Grace Ngai, Hong Va Leong, Thomas Cleary
Fire fighter fatalities and injuries in the U.S. remain too high and fire fighting too hazardous. Until now, fire fighters rely only on their experience to
Jun Wang, Youwei Jia, Eugene Yujun Fu, Jiajia Li, Andy Tam
This paper aims to facilitate the use of machine learning to carry out supervised classification/regression tasks for time series data in fire research
Jun Wang, Andy Tam, Paul A. Reneke, Richard Peacock, Thomas Cleary, Eugene Yujun Fu, Grace Ngai, Hong Va Leong
This paper presents a study to examine the potential use of machine learning algorithms to build a model to forecast the likelihood of flashover occurrence for
Fire Dynamics Simulator (FDS) is a computational fluid dynamics (CFD) model of fire-driven fluid flow. The software solves numerically a form of the Navier
Turnout Gear Selector (ToGS) helps the manufacturers, purchasers and users of fire turnout gear evaluate and select the turnout coat and pants ensemble that