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	Numerical prediction method for the time history response of spot-type smoke detectors to fire signals
	Chen Xi ; Qian Jiaru ; Pan Peng
	2010-10-12 ; 2010-10-12
关键词	Practical Theoretical or Mathematical Experimental/ delays fires jets light scattering numerical analysis smoke detectors wind tunnels/ numerical prediction method time history response spot-type smoke detectors fire signal time history response parameter calibration method fire dynamics simulator code numerical wind tunnel experiments JTY-GD-1109A light scattering smoke detector Cleary time lag model ceiling jets velocity 0.15 m/s to 0.6 m/s/ E0240H Health and safety aspects E0210L Numerical analysis E2130 Fluid mechanics and aerodynamics (mechanical engineering) E1620 Measurement/ velocity 1.5E-01 to 6.0E-01 m/s
中文摘要	To predict the time history response of spot-type smoke detectors to fire signals, a parameter calibration method for the Cleary time lag model is proposed based on numerical wind tunnel experiments using the fire dynamics simulator (FDS) code. The JTY-GD-1109A light scattering smoke detector is used as the detection. Calibrated parameters of the detection's Cleary time lag model and the analytical results from the FDS fire simulations were combined to develop a model to predict the fire signal time history response in the sensing chamber, which is applicable to ceiling jets with velocities of 0.15 ~ 0.6 m/s. Predictions for a typical room fire agree well with the actual conditions in numerical tests.
语种	中文
出版者	Tsinghua University Press ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/82071]
专题	清华大学
推荐引用方式 GB/T 7714	Chen Xi,Qian Jiaru,Pan Peng. Numerical prediction method for the time history response of spot-type smoke detectors to fire signals[J],2010, 2010.
APA	Chen Xi,Qian Jiaru,&Pan Peng.(2010).Numerical prediction method for the time history response of spot-type smoke detectors to fire signals..
MLA	Chen Xi,et al."Numerical prediction method for the time history response of spot-type smoke detectors to fire signals".(2010).

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