• Fire Science and Engineering
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• v.10 no.4
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• pp.29-36
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• 1996

The hazard assessment in which the potential hazard factors in the buildings are investigated and the scale of the hazard is analyzed should be performed first in order to prevent personal and material damages due to building fire. In this study, the building fire hazard are assessed using 822-item checklist, for the qualitative evaluation of which the main factors are classified into 10 items, yielding 100 scale points with some weighting. It is shown that present model is applicable for the assessment of all general buildings through the examination of the suitability of assessment model by actual assessment of existing building. Also, the checklist is prepared in itemized questionnaire form for easy assessment of building fire hazard. Therefore, the present model will be helpful for those working in fire prevention, who are suffering from the lack of manifest evaluation model for the fire prevention assessment so far in Korea.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2012.04a
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• pp.298-301
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• 2012

지진의 발생과 함께 동시다발적으로 화재가 발생하여 도시화재가 발생할 경우 도시화재위험성 평가방안이 없는 우리나라는 막대한 인명 및 재산피해가 발생할 것으로 예상된다. 이에 본 연구에서는 북촌한옥마을을 대상으로 시가지화재시뮬레이션을 이용한 도시화재 위험성평가를 수행한 결과, A B구역 모두 60분을 기점으로 빠른 화재 전파양상을 보였으며, 120분경과 A구역의 80%, B구역의 50%의 건물이 전소하는 것으로 나타났다.

• 한국공간정보시스템학회:학술대회논문집
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• 2005.05a
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• pp.363-368
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• 2005

도시지역의 토지이용의 고도화로 도시재해가 증가하고 있으며 향후에도 증가될 가능성이 매우 높은 실정이다 따라서 본 연구에서는 건물들의 재해특성을 분석하고 위험도를 평가하여 재해가 일어나기 전에 발생 위험성을 사전에 분석하여 위험도를 평가하고 평가 결과를 이용해 재해정보지도를 제작하는 것을 목표로 하여 연구를 수행하였다. 그 결과 위험도항목을 자연조건, 토지이용 및 건축물, 인구, 교통, 위험물취급시설로 구분하여 자료를 구축하고, 항목별 위험도를 설정하여 등급화 하였으며, 침수위험도, 화재위험도, 대피위험도, 건물붕괴 위험도로 구분하여 재해지도를 제작함으로서 해당지역의 지구단위계획을 수립 시 재해요소를 적용할 수 있고, 재해발생시 사전대응 및 대피를 위한 정보를 효과적으로 제공할 수 있었다.

• 방재와보험
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• s.112
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• pp.46-50
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• 2006

1970년대 국내에 도입된 이후 다양한 용도에 걸쳐 널리 쓰이고 있는 대표적인 건축재료 중 하나인 샌드위치 패널은 그 종류에 따라 화재위험성과 보험요율의 적용이 다양하다. 보험료 절감 및 안전성 확보를 위한 샌드위치 패널의 이용에 대해 알아본다.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2005.11a
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• pp.321-327
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• 2005

• The Journal of Bigdata
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• v.6 no.1
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• pp.133-144
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• 2021

This paper derives the fire risk of buildings in Seoul through the prediction of property damage and the occurrence of fires. This study differs from prior research in that it utilizes variables that include not only a building's characteristics but also its affiliated administrative area as well as the accessibility of nearby fire-fighting facilities. We use Ensemble Voting techniques to merge different machine learning algorithms to predict property damage and fire occurrence, and to extract feature importance to produce fire risk. Fire risk prediction was made on 300 buildings in Seoul utilizing the established model, and it has been derived that with buildings at Level 1 for fire risks, there were a high number of households occupying the building, and the buildings had many factors that could contribute to increasing the size of the fire, including the lack of nearby fire-fighting facilities as well as the far location of the 119 Safety Center. On the other hand, in the case of Level 5 buildings, the number of buildings and businesses is large, but the 119 Safety Center in charge are located closest to the building, which can properly respond to fire.

• Fire Science and Engineering
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• v.19 no.1 s.57
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• pp.20-28
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• 2005

Major petrochemical companies in the USA and the EU map out the strategies step-by-step hazard evaluation for the efficient risk management. They adopted the risk screening methods, such as Dow fire & explosion index, as a preliminary phase to execute detailed evaluation such as QRA (Quantitative Risk Assessment). In this study, The FEDI (Fire & Explosion Damage Index), which a kind of risk screening method proposed by Khan and Abbasi, was applied to the BTX plant in Korea. We showed that the FEDI can be effectively used to classify the hazard potential by comparison of the result from the FEDI and the result from QRA. And we showed that the characteristics and the quantities of chemical are the factors which have a largest effect on fire and explosion by executing relative sensitivity analysis of the FEDI. In conclusion, if the FEDI was applied as a preliminary phase of HAZOP, more efficient hazard evaluation can be possible.

• Journal of Korean Tunnelling and Underground Space Association
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• v.12 no.4
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• pp.307-319
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• 2010

As we learned in Daegu subway fire accident, fire in the railway tunnel is prone to develop to large disaster due to the limitation of smoke control and smoke exhaust. In railway tunnel, in order to ensure fire safety, fire prevention and fighting systems are installed by quantitative risk assessment results. Therefore, in this research, developed the program to establish quantitative risk assessment and suggested quantitative safety assessment method including fire scenarios in railway tunnel, fire and evacuation analysis model, fatality estimate model and societal risk criteria. Moreover, this method applys to plan preventing disaster for Honam high speed railway tunnel. As results, we presented the proper distance of escape route and societal risk criteria.

• Fire Science and Engineering
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• v.21 no.1 s.65
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• pp.29-36
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• 2007

This study has grasped weakness factor fire safety and way aspect of fire analyzing hazardous material accident, and has investigated how by legal present kind and scale of hazardous material work that must assign hazardous material safety supervisor are prescribed. We have proposed efficient lecturing education time analyzing about validity and efficiency of education time about hazardous material safety supervisor lecturing education with question investigation to people who take hazardous material safety supervisor lecturing education that manage in korea fire safety association.

• Fire Science and Engineering
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• v.7 no.1
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• pp.17-29
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• 1993

The method has been proposed for the risk assessment of petro-chemical plant, specially which can evaluate relative risk levels on the materials and process-es. The each potential risk of materials and processes are derived numerically and combined these values, finally Fire and Explosion Index was found. Material factor was evaluated with the flammability and the reactivity and process factor with emprical factor called penalty. This F&EI can be performed for relative risk assesment at the whole plant and directely applicable at the line.