NEUP CINR-20-19671: Identifying Needed Fire Input Data to Reduce Modeling Uncertainty

The proposed research effort will identify the fire parameters that have the largest impact on fire conditions, quantify those parameters contributing to uncertainties in the fire data through Monte Carlo simulation results, and use machine learning models from simulation results to assess existing data and recommend new fire tests to reduce uncertainties in Fire PRA.

Additional Info

Field	Value
Awarded Institution	Virginia Polytechnic Institute and State University
PI	Juliana Pacheco Duarte