NIJ Heat Flux Through Walls

Call for Fire Investigator Technical Panel Members

June 20, 2022

UL’s Fire Safety Research Institute (FSRI) is assembling a technical panel to advise on the direction of study for the upcoming research project, Heat Transfer and Fire Damage Patterns on Walls for Fire Model Validation, which will investigate heat transfer through walls for prediction of compartment fire dynamics and fire pattern development. The project is funded by a research grant awarded from the National Institute of Justice, Office of Justice Programs, U.S. Department of Justice for 2022-2023.

FSRI will conduct research to develop an experimental dataset for heat transfer and fire damage patterns on walls exposed to fires to support model validation, and to improve our understanding of the development of fire damage patterns.  FSRI will collaborate with the Bureau of Alcohol, Tobacco, Firearms and Explosives - Fire Research Laboratory (ATF-FRL) in this novel research endeavor. 

We seek experienced professionals from academia and research institutions, fire investigators, and other experts in the field to apply to be selected for this technical panel. The role of the technical panel is to review the proposed experimental approach and to provide guidance to ensure that the outcome of this research will provide a meaningful contribution to the field, and ultimately help to advance the use of predictive modelling by fire investigators and by the fire science community.

We anticipate holding two meetings of this committee, with the first occurring summer 2022 and the second happening near the end of the two-year grant period. The input of the technical panel will direct the final project report deliverable, which will be published online in 2023. 

To apply for the Heat Transfer and Fire Damage Patterns on Walls for Fire Model Validation technical panel, complete this form before July 8, 2022.  The final panelists will be selected and notified by July 12, 2022.

Heat Transfer and Fire Damage Patterns on Walls for Fire Model Validation