Fire Smoke Spread Law in Deep Water Semi-Submersible Platform

Expand
  • School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

Online published: 2019-09-10

Abstract

Based on the fire dynamic simulator numerical method, the fire smoke spread law in deep water semi-submersible platform is studied. According to the most disadvantageous principles of fire scenario design, four fire cases are designed to investigate the fire smoke spread and distribution law of upward spreading ability along stairwell. And its influence on the distribution of extremum of temperature, visibility, CO volume fraction on the staircase of each deck are studied. The impact of height of fire deck on the distribution law of filling the deck within required time is analyzed. Its impact on the smoke spreading path is also analyzed.The results show that when the distance between the stairwell and the fire room decreases, the upward spreading ability of smoke along the stairwell will be strengthened. The maximum temperature, the shortest time of visibility reaching critical condition, the maximum CO volume fraction of decks above the fire deck are located in staircases with strong upward spreading ability of smoke. With the height of fire deck increasing, it would take shorter time for the smoke to fill the decks above the fire deck and longer time for that below the fire deck. The results can contribute to the design of fire protection and the evacuation path when the semi-submersible platform is on fire.

Cite this article

XU Pengcheng,GAO Jin,QIU Guozhi . Fire Smoke Spread Law in Deep Water Semi-Submersible Platform[J]. Journal of Shanghai Jiaotong University, 2019 , 53(8) : 913 -920 . DOI: 10.16183/j.cnki.jsjtu.2019.08.004

References

[1]JIN Y L, JANG B S, KIM J. Fire risk analysis procedure based on temperature approximation for determination of failed area of offshore structure: Living quarters on semi-drilling rig[J]. Ocean Engineering, 2016, 126: 29-46. [2]WANG Y F, QIN T, LI B, et al. Fire probability prediction of offshore platform based on dynamic Bayesian network[J]. Ocean Engineering, 2017, 145: 112-123. [3]WANG Y F, LI Y L, ZHANG B, et al. Quantitative risk analysis of offshore fire and explosion based on the analysis of human and organizational factors[EB/OL]. [2018-09-11]. http: //apps.webofknowledge.com/full_record.do?product=UA&search_mode=GeneralSearch&qid=16&SID=6DyxbVnHHL Mni6pdIsO&page=1&doc=3. [4]SUN L P, YAN H B, LIU S H, et al. Load characteristics in process modules of offshore platforms under jet fire: The numerical study[J]. Journal of Loss Prevention in the Process Industries, 2017, 47: 29-40. [5]RAJENDRAM A, KHAN F, GARANIYA V. Modelling of fire risks in an offshore facility[J]. Fire Safety Journal, 2015, 71: 79-85. [6]KIM B J, SEO J K, PARK J H, et al. Load characteristics of steel and concrete tubular members under jet fire: An experimental and numerical study[J]. Ocean Engineering, 2010, 37(13): 1159-1168. [7]宋剑, 金伟良, 何勇, 等. 火灾作用下海洋平台结构响应分析[J]. 海洋工程, 2006, 24(2): 21-28. SONG Jian, JIN Weiliang, HE Yong, et al. Structural response analysis of offshore platform subjected to fire[J]. The Ocean Engineering, 2006, 24(2): 21-28. [8]李晶晶. 海洋平台人员应急撤离风险分析与控制研究[D]. 山东东营: 中国石油大学(华东), 2015. LI Jingjing. Risk assessment and control strategy for individual evacuation, escape, rescue on offshore platforms[D]. Dongying, Shandong, China: China University of Petroleum (Huadong), 2015. [9]李引擎. 建筑防火性能化设计[M]. 北京: 化学工业出版社, 2005: 25-66. LI Yinqing. Building performance-based fire protection design[M]. Beijing: Chemical Industry Press, 2005: 25-66. [10]SONG X Y, PAN Y, JIANG J C, et al. Numerical investigation on the evacuation of passengers in metro train fire[J]. Procedia Engineering, 2018, 211: 644-650.
Outlines

/