DOI QR코드

DOI QR Code

Simulation Analysis on Passengers' Normal Evacuation Scenarios Considering the Changes of Heeling Angle during MV Sewol's Sinking

세월호 침몰시의 힐링각변화 조건에서 승객의 정상적인 탈출시나리오에 관한 시뮬레이션 분석

  • Hwang, Kwang-Il (Division of Mechanical and Energy Systems Engineering, Korea Maritime and Ocean University)
  • 황광일 (한국해양대학교 기계.에너지시스템공학부)
  • Received : 2014.12.31
  • Accepted : 2015.02.25
  • Published : 2015.02.28

Abstract

Under the conditions of invested actual changes of heeling angles during MV Sewol's sinking, this study proposes passengers' evacuation scenarios, which are based on the assumption of normal orders of evacuation being given to the passengers, and evaluates using a marine-specialized human evacuation simulation tool. As results, when the heeling angle is set as 0 degree or 30 degree, it is found out that almost every passengers can success to evacuate to the musterstations, even though the evacuation times are different depending on the scenarios and the walking speeds. Meanwhile, when the heeling angle is varied as the Sewol incident, 3.1 %(Scenario Sc-Va which set chutes on port side as evacuation routes), 11.1 %(Sc-Vb, every open decks of port side as evacuation routes) and 20.0 %(Sc-Vc, every open decks of port and AFT sides as evacuation routes) among 476 passengers can successfully reach to the musterstations from their cabins with the condition of average walking speed as 2.04 m/s on flat. And only 0.8 %(Sc-Va), 3.8 %(Sc-Vb) and 10.7 %(Sc-Vc) can success to evacuate with the condition of average walking speed as 1.48 m/s on flat.

Keywords

MV Sewol;Heeling angle;Passenger;Evacuation scenario;Simulation

References

  1. Brown, R., E. R. Galea,, S. Deere,, and L. Filippidis(2013), Passenger Response Time Data-Sets for Large Passenger Ferries and Cruise Ships Derived from Sea Trials, International Journal of Maritime Engineering, Vol 155, Part A2, pp. A97-A103.
  2. Galea, E. R., S. Deere,, R. Brown, and L. Filippidis(2013), An Experimental Validation of an Evacuation Model using Data-Sets generated from Two large Passenger Ships, Journal of Ship Research, Vol 57, number 3, pp.155-170, Sept 2013 https://doi.org/10.5957/JOSR.57.3.120037
  3. GDC(2014), Gwangju District Court, Decision of the court at 11th Criminal Justice Division for the Case 2014GoHap 180 and Case 2014GoHap384(Combined), 2014.11.11.
  4. Hwang, K. I.(2011), Comparative Studies of Evacuation Time According to the Distribution Characteristics of Training Ship's Personnels, Journal of Navigation and Port Research, Vol. 35, No. 3, pp. 213-218. https://doi.org/10.5394/KINPR.2011.35.3.213
  5. Hwang, K. I.(2013a), A Koreans' consciousness survey on the onboard safety of domestic passenger ship, Journal of the Korean Society of Marine Engineering, Vol. 38, No. 4, pp. 495-501.
  6. Hwang, K. I.(2013b), An Experiment on Walking Speeds of Freshmen Unexperienced in Shipboard Life on a Passenger Ship, Journal of Korean Institute of Navigation and Port Research, Vol. 37, No. 3, pp. 239-244. https://doi.org/10.5394/KINPR.2013.37.3.239
  7. IMO(2007), Guidelines for Evacuation Analysis for New and Existing Passenger Ships, MSC.1/Circ.1238.
  8. jtbc(2014), http://home.jtbc.joins.com/Vod/VodView.aspx?epis_id=EP10019948, accessed April 30, 2014.
  9. Kim, W. O.(2010), A Study on the Crew's Survival ratio according to ship's structure, Journal of Navigation and Port Research, Vol. 34, No. 6, pp. 423-427. https://doi.org/10.5394/KINPR.2010.34.6.423
  10. MEPDESIGN(1997), Mustering and Evacuation of Passengers - Scientific Basis for Design, EU-Funded Project, COntract BRPR-CT97-0587.
  11. RINA(2012), The Royal Institution of Naval Architects, SAFEGUARD Passenger Evacuation Seminar, November 30 2012.
  12. SafetyatSea(2009), Evi User Manual Version 3.5.3, 2009.

Cited by

  1. Shipboard Fire Evacuation Route Prediction Algorithm Development vol.24, pp.5, 2018, https://doi.org/10.7837/kosomes.2018.24.5.519