Chinese Journal of Ship Research, Volume. 18, Issue 4, 215(2023)

Cruise ship evacuation simulation based on fine-grid model and validation by experimental datasets

Lei ZHUANG1, Zhiming FANG2, Guoqing CHEN1, and Yajuan GU1
Author Affiliations
  • 1Shanghai Rules and Research Institute, China Classification Society, Shanghai 200135, China
  • 2Business School, University of Shanghai for Science and Technology, Shanghai 200093, China
  • show less
    Figures & Tables(12)
    [in Chinese]
    [in Chinese]
    [in Chinese]
    [in Chinese]
    [in Chinese]
    [in Chinese]
    [in Chinese]
    [in Chinese]
    [in Chinese]
    • Table 1. Distribution of population starting and end locations

      View table
      View in Article

      Table 1. Distribution of population starting and end locations

      初始分布各集合位置的人数
      区域人数集合站A集合站B集合站C集合站D
      甲板1280620
      甲板11船中区域34611710
      甲板11其他区域5616141412
      甲板10餐厅42312912610365
      甲板10其他区域12224523016
      甲板9船尾左舷客舱31151213
      甲板9船尾右舷客舱26010214
      甲板9其他区域471125101
      甲板8船尾左舷客舱53041435
      甲板8船尾右舷客舱47017822
      甲板8其他区域53252170
      甲板7船尾左舷客舱40151024
      甲板7船尾右舷客舱3102236
      甲板7其他区域553011140
      甲板6船尾左舷客舱37041122
      甲板6船尾右舷客舱28013411
      甲板6其他区域743319202
      集合站D2743614
      甲板5其他区域259457
      集合站C52030
      集合站B1511400
      甲板4其他区域10218312825
      集合站A55000
      甲板3餐厅19746435652
      甲板3其他区域861358150
      甲板2船尾左舷客舱2500187
      甲板2船尾右舷客舱2111181
      甲板2其他区域872545152
      甲板11921124
      合计1779402575437365
    • Table 2. Validation metrics and corresponding criteria[10]

      View table
      View in Article

      Table 2. Validation metrics and corresponding criteria[10]

      指标含义衡准值
      $ ERD=\dfrac{\sqrt{\displaystyle\sum _{i=1}^{n}{({E}_{i}-{m}_{i})}^{2}}}{\sqrt{\displaystyle\sum _{i=1}^{n}{\left({E}_{i}\right)}^{2}}} $ERD用于评估模型数据mi与实验数据Ei之间的差距。如果2条曲线的各个数据点均相同,则ERD=0。ERD值越小,即说明疏散仿真模型的一致性越高。ERD≤0.25
      $ EPC=\dfrac{\displaystyle\sum _{i=1}^{n}{E}_{i}{m}_{i}}{\displaystyle\sum _{i=1}^{n}{{m}_{i}}^{2}} $EPC用于度量mi模型曲线与Ei实验曲线之间的最佳一致性水平。EPC=1.0表明两者之间的差异尽可能小。0.8≤EPC≤1.2
      $ SC=\dfrac{\displaystyle\sum _{i=s+1}^{n}\dfrac{({E}_{i}-{E}_{i-s})({m}_{i}-{m}_{i-s})}{{s}^{2}({t}_{i}-{t}_{i-1})}}{\sqrt{\displaystyle\sum _{i=s+1}^{n}\dfrac{{({m}_{i}-{m}_{i-s})}^{2}}{{s}^{2}({t}_{i}-{t}_{i-1})}\displaystyle\sum _{i=s+1}^{n}\dfrac{{({\mathrm{m}}_{i}-{\mathrm{m}}_{i-s})}^{2}}{{s}^{2}({t}_{i}-{t}_{i-1})}}} $SC用于度量mi模型曲线与Ei实验曲线之间的匹配度。SC=1.0时,表明两类曲线相同。SC ≥ 0.8
      $ TAT\text{%}=\dfrac{\left({TAT}_{\mathrm{实}\mathrm{验}}-{TAT}_{\mathrm{模}\mathrm{型}}\right)\times 100\text{%}}{{TAT}_{\mathrm{实}\mathrm{验}}} $TAT% 用于度量模型数据mi与实验数据Ei的疏散总时间TAT之间的百分比差异。TAT% ≤ 15%
    • Table 3. Model validation results

      View table
      View in Article

      Table 3. Model validation results

      验证对象人数ERDEPCSCTAT%
      全船总疏散时间TAT17430.080.980.985.46%
      集合站A3970.091.080.93
      集合站B5610.100.950.82
      集合站C4340.100.980.93
      集合站D3510.190.900.88
    Tools

    Get Citation

    Copy Citation Text

    Lei ZHUANG, Zhiming FANG, Guoqing CHEN, Yajuan GU. Cruise ship evacuation simulation based on fine-grid model and validation by experimental datasets[J]. Chinese Journal of Ship Research, 2023, 18(4): 215

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Ship Design and Performance

    Received: Apr. 6, 2022

    Accepted: --

    Published Online: Mar. 20, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.02840

    Topics