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Once they have a foothold, severe wildfires can quickly overwhelm a community, particularly one that is densely packed. To shield houses against such a fierce
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
Firefighters rely on self-contained breathing apparatuses (SCBA) to protect them from dangerous heat and toxic smoke. NIST research helped to improve industry
This program reduces community fire risk by 1) increasing the fire resilience of wildland-urban interface (WUI) communities and 2) enhancing the safety and
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
Tianhang Zhang, Zilong Wang, Ho Yin Wong, Wai Cheong Tam, Xinyan Huang, Fu Xiao
Forecasting building fire development and critical fire events in real-time is of great significance for firefighting and rescue operations. This work proposes
Andy Tam, Jun Wang, Richard D. Peacock, Paul A. Reneke, Eugene Yujun Fu, Thomas Cleary
This report provides additional technical details to an article entitled P-Flash – A Machine Learning-based Model for Flashover Prediction using Recovered
Andy Tam, Eugene Yujun Fu, Paul A. Reneke, Richard D. Peacock, Thomas Cleary
A generic graph neural network-based model is developed to predict the potential occurrence of flashover for different building structures. The proposed model
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
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