Smoke Movement and Detector Sensitivity

 
 
 
 
A STUDY OF SMOKE MOVEMENT AND DETECTOR SENSITIVITY IN HIGH BAY HANGARS

This study sought to develop reliable data that fire safety and security management professionals can use in the development of models for smoke detector types and placement in high-bay hangar facilities. Two research questions were investigated, and hypotheses were tested in relation to each research question. The research questions investigated were as follows:

1. What effect does bay height have on smoke detector sensitivity in a high-bay hangar?

2. What effect does the use of a draft curtain have on smoke detector sensitivity in a high-bay hangar?

Each of the hypotheses was supported by the analyses of the data. The results of the research performed for this study found that, as bay height increases (all other factors remaining equal), smoke detector sensitivity decreases. The results of the research performed for this study found further that smoke detector sensitivity is higher when draft curtains are in place than when draft curtains are not in place.

Based on these findings it was concluded that the use of draft curtains should be mandated in all high-bay hangars. It was concluded further that means should be found to deploy smoke detectors at levels lower than ceiling height in bays higher than 15 meters.

1 - INTRODUCTION .................................... 1

Statement of the Problem ........................ 1


     
 
 
 
    

 

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pe of waveform analysis was used to develop procedure for the detection of delay faults in digital circuits (Mao, 1991). This type of waveform analysis also is used in modeling smoke movement (Davis, Notarianni, & Tapper, 1995). The methodology includes a quantitative delay fault simulation method, a delay fault test pattern generation algorithm, and an approach to improving delay fault coverage in scan-path design circuits. The quantitative delay fault simulation method develops and uses a waveform analysis to accurately calculate a delay fault size range within which the delay fault is detected (Mao, 1991). Waveform analysis also has been applied to the refinement of product design and manufacturing systems. In defining the specific objective, the most appropriate signal and the estimated concomitant noise are either selected or developed. Signal is defined as what a product is attempting to deliver to the customer. Noises are defined as the interferences that degrade product performance (Taguchi, 1990). The feasible options for critical design values include dimensions, electrical characteristics, and so forth. The option is selected that provides the greatest robustness. The greatest robustness is equivalent to

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