• 한국화재소방학회논문지
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• 제29권4호
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• pp.67-72
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• 2015

본 연구는 콘칼로리미터 실험을 통해 건축물 마감재와 가구소재로 널리 적용되는 목재 가공품의 화염연소와 훈소시 화재특성을 파악하고자 한다. 시험대상 목재 가연물은 MDF, 합판, 칩보드이며 $50kW/m^2$의 복사열유속을 시편에 가하여 점화를 유도하였다. 실험과정에서 화재특성을 나타내는 발열량, 연소가스 생성율, 유효연소율 등의 주요 인자를 가연물의 두께에 따라 정량화하였다. 실험결과 초기 평면방향의 화염전파와 후기 시편의 관통에 의한 화재확대로 인해 단위면적당 발열량에 대한 두 개의 피크점이 관측되었다. 화염연소시의 질량감소율이 훈소시에 비해 5배 이상 높게 나타난 반면에 훈소과정에서 CO 생성율은 화염연소에 비해 10배 이상 높게 측정되어 훈소시 높은 독성가스 생성율을 보였다. 본 연구는 목재 가연물의 화재성상을 이해하고 화재해석을 위한 물성자료로 활용될 수 있다.

• International Journal of Reliability and Applications
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• 제10권2호
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• pp.89-99
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• 2009

Oriented Strand Board (OSB) is an important engineered wood product used in housing construction which has a lower environmental impact or "carbon footprint." In this paper, reliability and statistical tools are applied to gain insights on the strand thickness of OSB panels. An OSB panel consists of several hundred wood strands that are resinated and pressed. The variability of OSB strand thickness for six manufacturers in the Eastern United States is examined as a whole, as well as individually. Little research exists on OSB strand thickness across mills even though strand thickness variability has been documented in laboratory experiments to greatly influence the dimensional stability of OSB panels. Our aims are to quantify and characterize strand thickness, plus apply reliability techniques, such as Kaplan-Meier curves, to characterize the probability of strand thickness. We further explore graphically and statistically the thickness of the strands.

• International Journal of Reliability and Applications
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• 제7권2호
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• pp.177-186
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• 2006

Typical confidence intervals for a mean or mean residual life (MRL) are centered about the mean or mean residual life. We discuss novel confidence intervals that produce statements like "we are 95% confident that the MRL function, e(t), is greater than a prespecified $\mu_o$ for all t in the interval [0, $\hat{\theta})$)" where $\hat{\theta}$ is determined from the sample data, confidence level, and $\mu_o$. Also, we can have statements like 'we are 95% confident that the MRL of population 1, namely $e_1$(t), is greater than the MRL of population 2, $e_2$(t), for all t in the interval [0, $\hat{\theta}$)" where $\hat{\theta}$ is determined from the sample data and confidence level. We illustrate these one and two sample confidence intervals on internal bonds (tensile strengths) for an important modem engineered wood product, called medium density fiberboard (MDF), used internationally.