Methodology for DB construction of input parameters in FDS-based prediction models of smoke detector

Abstract

The input parameters of the Heskestad and Cleary models—which are numerical models included in fire dynamics simulator (FDS)—are measured, and a sensitivity analysis is conducted on the effects of individual and common input parameters of the numerical models on the detection time. The input parameters are applied to the FDS, and the results predicted the activation time of the detector within +5 s. Compared to the individual input parameters, the obscuration per meter (OPM), which is a common input parameter, significantly affected the detection time. Finally, additional input parameters that correspond to combustion properties, such as the soot yield and mass specific extinction coefficient, are discovered to have a greater impact on the detection time than the input parameters in the detector’s numerical models. Considering various smoke detectors and combustibles, this study’s findings will contribute to the efficient use of resources to build a database of input parameters.