• Journal of the Korean Society of Safety
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• v.21 no.6 s.78
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• pp.1-6
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• 2006

Subway platform is divided into Side-platform type and Center-platform type. In this study does quantitative fire risk assesment of subway platform types in numerical analysis by using CFD model. From the result of this study, 1) All exhaust mode was low-end result it seems most fire risk at Side-platform station. 2) All exhaust mode was low-end result it seems most fire risk at Center-Platform station. 3) When comparing same type exhaust mode of Side-platform and Center-platform that last thing was visible $9.1{\sim}72.34%$ low-end fire risk. Center-platform is more opera-tive than Side-platform that reduce fire risk when that was same dimension and external environment. Designer look upon a fire characteristic of subway platform types when he make smoke control air volume and platform area design.

• Proceedings of the SAREK Conference
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• 2006.06a
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• pp.460-467
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• 2006

Some large accidents in tunnels in recent years, such as Mont Blanc, Gotthard and Tauern tunnels, have lead to an increasing attention for tunnel safety and necessity of tool for quantitative risk assesment of road tunnel. And the purpose of this study is to develop the quantitative risk assesment tool for the application of road tunnel. The objectives of this paper are as follows : (1) analyze of traffic accident rates in tunnel, (2) make out scenario for fire accidents, (3) develop the evacuation model and FED calculation model, (4) Present the results from quantitative risk assesment for the model tunnel according with the fire heat release rates and distances of cross passage.

• 한국전산유체공학회:학술대회논문집
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• 2011.05a
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• pp.169-172
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• 2011

Recently, railroad long tunnels are increasing and growing longer due to topological feathers like a lot of mountain in Korea. But fire disaster of a long tunnel cause many people to injury and death. For that reason, at the early design stage of a long tunnel, risk assessment and mitigation measure of risk for satisfying tunnel safety are required. According to the railroad facility safety standard (Korean MLTM Announcement No. 2006-395), risk assessment for railroad-tunnel fire should be performed when design stage. Therefore, various methods of risk assessment for tunnel fire have been studied and applied. In the paper, QRA(Quantitative Risk Analysis) for fire risk assessment by using CFD code is presented and the usefulness of CFD is discussed.

• 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.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2007.11a
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• pp.369-374
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• 2007

• Fire Science and Engineering
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• v.29 no.2
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• pp.8-12
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• 2015

Performance Based Design is evaluating after each calculatiuon ASET and RSET. Risk informaion values such as heat, smoke, toxic gas etc are extracted by FDS in this study. These Risk informaion values by FDS apply Artisoc (evacuation simulator). Building structure made $60m{\times}65m$, exit number is made 2 positions and people in this building are 50 ramdonly. 20 times (case1~case 20) simulated and analysis evacuees risk by evacuated route positions.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2007.11a
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• pp.193-198
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• 2007

• 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.

• Journal of Korean Tunnelling and Underground Space Association
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• v.17 no.2
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• pp.117-125
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• 2015

Quantitative risk assessment (QRA) of railway is to create a variety of scenario and to quantify the degree of risk by a result of the product of accident frequency and accident. Quantitative risk Assessment is affected by various factors such as tunnel specifications, characteristics of the fire, and relation of smoke control and evacuation direction. So in this study, it is conducted that how the way of smoke control and the relation of smoke control and evacuation direction affect quantitative risk assessment with variables (the tunnel length (2, 3, 4, 5, 6 km) and the slope (5, 15, 25‰)). As the result, in a train fire at the double track tunnel (Area = $97m^2$), it is most efficient to evacuate to the opposite direction of smoke control regardless of the location of train in train fire. In addition, under the same condition, index risk in mechanical ventilation up to 1/10.

• Journal of the Korean Society of Safety
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• v.23 no.5
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• pp.1-6
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• 2008

`SOS', Simulator Of Safety assessment for fire, was developed to simulate fire safety assessment for a structure which is geometrically complex. The program(SOS) is intended to use for searching as well as designing tools to analyse the evacuation safety through a wide range of structure conditions. The computer program has a function which importing FDS's calculating results to each individual resident in the structure. These attributes include a walking speed reduction by producing visibility reduction for each person on the fire. $A^*$ pathfinding algorithm is adopted to calculate the simulation of escape movement, overtaking, route deviation, and adjustments individual speeds in accordance with the proximity of crowd members. This SOS program contributes to a computer package that evaluates the fire safety assessment of individual occupants as they walk towards, and through the exits especially for building, underground spaces like a subway or tunnel.