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This project develops and maintains robust, validated fire models—and the associated visualization and analysis tools—for performance-based fire safety, forensics (fire reconstruction), and fire research applications in the built and natural environments.
Objective: To develop open source, freely available tools for property calibration and maintain archived, version-controlled material property sets with demonstrated accuracy. These tools should be: Accurate: Parameters predict experimental data Realistic: Values agree with physics Efficient: Fast
This project aims to reduce residential fire deaths and injuries by advancing detection systems, researching smoke measurements, and evaluating new technologies' impact on safety. It develops datasets and models to assess building fire hazards, informing better codes, standards, and public awareness efforts.
This program advances fire measurement capabilities, predictive models, testing methods, detection technologies, and fire-resistant materials to create innovative, cost-effective solutions that enhance occupant safety and improve the fire resistance of buildings and their contents.
This program advances measurement science to improve community and building resilience to fires, address risks of new technologies, and enhance firefighter awareness and equipment performance through science-based codes, standards, and practices.
Volume 1 Experimental Observations of the Burning Behavior of Combustible Solids in Parallel Panel Configuration at Full-Scale ( NIST Technical Note 2282 ) Report Summary This report provides an overview of measurements (e.g., heat release rate, gaseous species production, and flame-to-surface heat
This project develops a database that includes tools, measurement data, material properties, and validation data to enable quantitative prediction of material flammability behavior, such as ignition, steady burning, and fire growth.
Objective: To provide measurement data and analysis tools that enable accurate, efficient, probabilistic risk assessments for fire scenarios in nuclear power plants. Recent Research: Brief descriptions and links to technical reports developed from recent NIST/NRC collaborations focused on Cable
By 2016, this project aims to develop a framework for a model predicting evacuation decision-making during building fires, improving the accuracy of egress modeling tools used in performance-based design (PBD) of buildings.
This project provides data on fire dynamics and spread in WUI fuels to drive the development of physics-based CFD models, introducing new capabilities and enhancing model confidence.