• Title/Summary/Keyword: Underground subway fire

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Numerical Study on the Smoke Movement and Evacuation in the Deeply Underground Subway Station Fire (대심도 지하역사에서의 화재시 연기거동과 피난에 대한 수치해석 연구)

  • Kim, Hong-Jin;Bae, Sung-Yong;Choi, Young-Ki;Hong, Gi-Bae;Ryou, Hong-Sun
    • Proceedings of the KSR Conference
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    • 2011.10a
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    • pp.1342-1347
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    • 2011
  • Advantages of the deeply underground subway are underground space efficiency, high speed, decrease of noise and vibration. However, when fire occurs in the deeply underground subway station, large casualties are occurred like Daegu subway station fire due to the increase of evacuation distance. In this study, a numerical analysis was performed by using the fire and evacuation analysis program FDS+EVAC for smoke movement and evacuation in Beotigogae station among the deeply underground subway station. Heat release rate of carriage fire was set 10MW and the fire growth rate was ultrafast. As a result, the smoke move to the exit at 1085 second. The total evacuation time took 956 second.

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A Study on the fire Safety Plan in downtown underground Space (I) (도심지하공간의 화재안전계획에 관한 연구 (I))

  • Seo, Dong-Goo;Hwang, Hyun-Bae;Kwon, Young-Jin
    • Proceedings of the Korea Institute of Fire Science and Engineering Conference
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    • 2008.11a
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    • pp.348-355
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    • 2008
  • In Korea, the Seoul subway line 1 was opened in 1974 and the subway service is being operated in Seoul, Pusan, Daegu, Daejeon, and Inchon. The subway station is related to a underground shopping mall that was developed as complex spaces. According to the time of people's stay at the underground space, the necessity about the safety countermeasure of the underground space has been enlarged. Therefore the result of this study is t propose guidelines for improving the evacuation safety performance in underground subway stations.

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Experiments of Smoke Behavior in an Underground Subway Station (지하역사에서의 화재연기거동 실험)

  • Kim, Dong-Hyeon;Jang, Yong-Jun;Park, Won-Hee
    • Journal of the Korean Society for Railway
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    • v.10 no.1 s.38
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    • pp.67-73
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    • 2007
  • Experiments were carried out to investigate smoke movement in platform of a subway station which currently is in service in Pusan, the second largest city in Korea. The recently constructed underground station of the "bank type" (two platforms on both sides of track) which is the popular layout of platforms in Korea, is chosen in Pusan. The smoke generator and heater are used for simulating the smoke movement at the fire break in the platform located in the 2nd basement of the station. Video recordings were used to monitor smoke lowering. In this study, the movements of smoke in the underground station are investigated under various smoke-control operating modes. Three tests wire conducted according to its operating mode of the ventilation systems in the platform: no operation of any ventilation systems, smoke extraction mode in occurrence of fire (presently running mode) and full capacity of smoke extraction where all vents are activated in the platform. The results can be used for comparing with the numerical prediction results of fire subway stations.

THE STUDY ON THE CHARACTERISTICS OF FIRE DRIVEN SMOKE-FLOW FOR DIFFERENT FIRE-LOCATION IN DEEPLY UNDERGROUND SUBWAY STATION (대심도 지하역사에서 화원 위치에 따른 연기거동 특징 연구)

  • Kim, H.B.;Jang, Y.J.;Lee, C.H.;Jung, W.S.
    • 한국전산유체공학회:학술대회논문집
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    • 2009.04a
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    • pp.202-207
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    • 2009
  • In this study, Numerical simulations were performed to analyze the characteristics of fire driven smoke flow for different location of fire source in the deeply underground subway station with using FDS code. The fire driven smoke-flow which was simulated by using Parallel Computational Method for fast calculation and LES for turbulence model. In this research, the fire location to obstruct a suitable egress from the fire disaster were discussed.

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Numerical Predictions of Fire Characteristics of Passenger Train Fire in an Underground Subway Tunnel, Depending on Change of Location of Ventilation Facility (지하철 터널내의 객차 화재발생시 환기실 위치변화에 따른 화재특성의 수치적 연구)

  • Son, Bong-Sei;Chang, Hee-Chul
    • Fire Science and Engineering
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    • v.22 no.5
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    • pp.1-8
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    • 2008
  • The study is to perform numerical analysis of train fire characteristics in an underground subway tunnel, depending the different locations of ventilation facility. To study the characteristics of train fire, two kinds of worst-case scenarios are selected, based on escape distance, escape time, and fire zone, and trends and thermal environments of tunnel are analyzed by changing the locations of ventilation facility for times. Fire characteristics is calculated by using FLUENT v.6.3.26, and turbulent flow is calculated by using the standard k-${\varepsilon}$ model. The numerical results show distribution of carbon monoxide concentration, temperature, and velocity. The results of this study will contribute to building the most suitable ventilation systems when designing subway stations and tunnels.

ANALYSIS OF SMOKE SPREAD EFFECT DUE TO THE FIRE STRENGTH IN UNDERGROUND SUBWAY-STATION (대심도 역사의 화재강도에 따른 연기확산 영향 분석)

  • Jang, Yong-Jun;Koo, In-Hyuk;Kim, Hag-Beom;Kim, Jin-Ho
    • 한국전산유체공학회:학술대회논문집
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    • 2011.05a
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    • pp.373-378
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    • 2011
  • As the number of deeply-underground subway station(DUSS) increases, the safety measures for DUSS have been requested. In this research, Shingumho station (The line # 5, Depth: 46m) has been selected as case-study for the analysis of smoke-spread speed with the different fire strength. Field test data measured for actual fan in DUSS was applied as a condition of a simulation. The whole station was covered in this analysis and total of 4 million grids were generated for this simulation. The fire driven flow was analyzed case by case to compare the smoke-spread effect according to the fire strength. in order to enhance the efficiency of calculation, parallel processing by MPI was employed and large eddy simulation method in FDS code was adopted.

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The Analysis of the effects of the platform screen door on the fire driven flow in The Deeply Underground Subway Station (대심도 지하역사에서의 화재시 플랫폼 스크린 도어에 의한 열, 연기 거동 영향 분석)

  • Jang, Y.J.;Kim, H.B.;Lee, C.H.;Jung, W.S.
    • Proceedings of the KSME Conference
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    • 2008.11b
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    • pp.1984-1989
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    • 2008
  • In this study, fire simulations were performed to analyze the characteristics of the fire driven flow and the effects of the platform screen door on the smoke flow in the station, when the fire occurred in the center of the platform. Soongsil Univ. station (line number 7, 47m in depth underground) was chosen which was the one of the deepest underground subway stations in the Seoul metro, SMRT. The parallel computational method was employed to compute the heat and mass transfer eqn's with 6 CPUs of the linux clustering machine. The fire driven flow was simulated with using FDS code in which LES method was applied. The Heat release rate was 10MW and The Ultrafast model was applied for the growing model of the fire source. The 10,000,000 structured grids were used.

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Numerical Prediction of the Heat and Smoke Propagations for a Passenger Train Fire in an Underground Subway Tunnel for Different Extraction Flowrate (지하철 터널 내 운행 중 객차에서 화재발생시 제연풍량에 따른 열 및 연기 확산 예측 연구)

  • Chang, Hee-Chul;Yoon, Kyung-Beom;Park, Lee-Jin;Kim, Tae-Kuk;Park, Won-Hee;Kim, Dong-Hyeon
    • 한국방재학회:학술대회논문집
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    • 2007.02a
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    • pp.250-253
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    • 2007
  • The purpose of this research is focussed on the numerical predictions of the heat and smoke propagations for a passenger train fire in an underground subway tunnel for different air supply and extraction flowrates. The analysis is performed for one of the stations on subway line #5 in Seoul under the emergency operation mode for different air supply and extraction flowrates. Five different the air supply and extraction flowrates are considered for the numerical analyses. The numerical results show that the air supply and extraction flowrates affect the smoke control performance significantly by improving the smoke removal performance for the balanced control of air supply and smoke extraction and for the unbalanced control with lager smoke extraction than air supply.

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A study on safety evaluation by changing smoke ventilation mode in subway tunnels (지하철터널 환기변환모드에 따른 안전성 평가에 관한 연구)

  • Rie, Dong-Ho
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.5 no.4
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    • pp.389-400
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    • 2003
  • In order to recommend the mechanical smoke exhaust operation mode, Subway Environmental Simulation (SES) is used to predict the airflow of the inlet and outlet tunnel for the subway station. Fire Dynamic Simulation (FDS) is used the SES's velocity boundary conditions to clarity the smoke exhaust effectiveness by the variations with mechnical ventilation system. We compared each 6 types of smoke exhaust systems for the result of smoke density and temperature distributions for 1.5m height from the subway station base in order to clarify the safety evaluation for the heat and smoke exhaust on subway fire.

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The Study on Fire Phenomena in The Deeply Underground Subway Station (대심도 지하역사에서의 화재현상 연구)

  • Jang, Yong-Jun;Kim, Hag-Beom;Lee, Chang-Hyun;Jung, Woo-Sung
    • Proceedings of the KSR Conference
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    • 2008.06a
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    • pp.1773-1780
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    • 2008
  • When the fire occur in the deeply underground subway station, the difficulties of passenger evacuation are expected because of many stairs to the exit. In this study, SOONGSIL-University station (7 line, 47m depth) is the one of the deepest subway stations of the each line in the Seoul metro. The numerical computational-simulation was performed for the fire driven flow in the subway station. Hot and smoke flow was analyzed from the simulation results. The proper plan of evacuation against fire was considered through the results. The fire driven flow was simulated using FDS code in which LES method was applied. The Heat Release Rate was 10MW and the ultrafast model was applied for the growing model of the fire source. The proper mesh size was determined from the characteristic length of fire size. The parallel computational method was employed to compute the flow and heat eqn's in the meshes, which are about 10,000,000, with 6cpu of the linux clustering machine.

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