Numerical prediction of smoke detector activation accounting for aerosol characteristics

Abstract

This study integrates a time lag dynamic response algorithm that describes the response time of a smoke detector and a smoke aerosol tracking procedure into a Large Eddy Simulation (LES) fire model. The LES fire model predicts the smoke concentration adjacent to the detector while a time lag dynamic response algorithm and describes the transport of smoke into the sensing chamber. The smoke particle number concentrations in the sensing chamber are calculated based on the initial particle size and distribution. Experimental data from a standard fire test was used for validation. Overall, reasonable results were obtained when comparing the predictions to the experimental results. Copyright © 2005 International Association for Fire Safety Science.