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Influence factor analysis on the measurement of smoke density from floor materials in rolling stock

철도차량 바닥재 연기밀도 측정의 영향인자분석

  • Kwon, Tae-Soon (Railroad Safety Research Division, Korea Railroad Research Institute) ;
  • Lee, Duck-Hee (Railroad Safety Research Division, Korea Railroad Research Institute) ;
  • Park, Won-Hee (Railroad Safety Research Division, Korea Railroad Research Institute)
  • 권태순 (한국철도기술연구원 철도안전연구실) ;
  • 이덕희 (한국철도기술연구원 철도안전연구실) ;
  • 박원희 (한국철도기술연구원 철도안전연구실)
  • Received : 2016.08.02
  • Accepted : 2016.11.10
  • Published : 2016.11.30

Abstract

In this study, we investigated the effect of factors that influence the measurement of smoke density using synthetic rubber flooring. The characteristics of rolling stock in an enclosed environment can cause enormous loss of life by smoke inhalation during fires inside passenger cars. The amount of smoke generation from interior materials for rolling stock is strictly restricted domestically and in other countries. Precise measurement of smoke density is therefore required to assess the fire performance of interior materials. Major factors that influence the measurement of smoke density include the uniformity of the specimen, the variations in conditions and instruments, and the operational and maintenance environment of the instruments. The contribution of factors was analyzed by estimating the uncertainty to investigate the contribution ratios of the major factors. The results show a contribution ratio of about 86% for the variation from the measurement of light transmission using a photomultiplier tube. Thus, this factor was the most representative for the measurement of smoke density. The contribution ratio of the other factors was low at about 11%, including irradiant flux conditions (${\pm}0.5 kW/m^2$) and the influence of the operational and maintenance environment of the instrument. These results were obtained using specimens with high uniformity.

Keywords

floor materials;influence factor analysis;rolling stock;smoke density;uncertainty estimation

Acknowledgement

Supported by : 한국철도기술연구원

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