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Fire

Fire risk reduction

Planned Future Applications

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  1. Guided Uncertainty Reduction Utilities (GURU)
    The GURU suite of tools is designed to enable informed collaboration between experimentalists and modelers specifically by providing feedback to enable measurement and model improvement:
    • Compute probability distributions for model parameters
    • Propagate this uncertainty through fire models in multiple scenarios and perform sensitivity analyses of model predictions
    • Compare model prediction probability distributions to validation data 
    • Compute statistically informed model selection criteria
    • Develop requirements for data set quality and completeness
    • Develop minimum requirements for numerical pyrolysis models
  2. Incorporate additional NIST Fire Research Division tools and Validation Data into the Material Flammability Database
    1.  Evolved Gas Analysis Tools
      • Average Molecular Weight [White paper on custom apparatus]
      • Gas Chromatography Mass Spectrometry (GC-MS)
      • Fourier Transform Infrared Spectroscopy (FTIR)
    2.  Characterization of the Condensed Phase
      •  Gel Permeation Chromatography (molecular weight)
      • Organic Elemental Analysis (CHNS/O)
  3. Expanded Model Validation
    The EFSP Project is focused on expanding the number of configurations and burning scenarios included in the experimental dataset provided for fire model validation. Special emphasis is made on developing new techniques to quantify and simulate the complex mechanisms at the interface between condensed- and gas-phase that control ignitability and material burning behavior (e.g., polymer melt flow, smoldering/glowing combustion).
  4. Incorporate new contributors and users of data
    • Fire Protection Engineers
    • Researchers
    • Materials Companies
    • Product Designers
    • Fire Modelers
    • Fire Investigators

 

Fire, Fire detection, Fire dynamics and science, Fire fighting and Fire risk reduction

Contacts

Created March 5, 2024