气溶胶特性引起的感烟探测器灵敏性的数值预测

摘要

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.%本研究结合时滞动力学灵敏度算法,描述了感烟探测器的反应时间,与时滞动力学灵敏度算法同时,大涡模拟火灾模型预测了与探测器相接近的烟浓度值,并描述了烟进入传感小室的输送情景.基于初始粒子的大小和分布,计算传感小室内的烟粒子浓度.由标准试验方法得出了实验数据.比较预测值和实验值,得出了合理一致的结果.