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http://hdl.handle.net/10397/98291
| Title: | A probabilistic model for fatality estimation of ship fire accidents | Authors: | Wu, B Zong, L Yip, TL Wang, Y |
Issue Date: | 15-Dec-2018 | Source: | Ocean engineering, 15 Dec. 2018, v. 170, p. 266-275 | Abstract: | Fatality estimation is beneficial for improving the safety of fireproofing in ship design and ensuring a quick response to fire accidents. This paper proposes a probabilistic method for fatality estimation of fire accidents caused by critical temperature and critical smoke in terms of comparing the available safe egress time and the required safe egress time. The kernel of this proposed method is first to derive the available safe egress time estimation equation by using fire dynamics simulator field model to simulate the fire development process and, to determine the required safe egress time equation given by the guideline of International Maritime Organization, which consider crowd behaviours, including waiting time at corridors, stairs and doors. The proposed method is applied to a real fire accident and the fatality rate is approximate to real scenarios. Consequently, this paper proposes a practical and holistic method for fatality estimation of ship fire accidents. | Keywords: | ASET and RSET Fatality estimation Fire dynamics simulator Probabilistic model |
Publisher: | Pergamon Press | Journal: | Ocean engineering | ISSN: | 0029-8018 | DOI: | 10.1016/j.oceaneng.2018.10.056 | Rights: | © 2018 Elsevier Ltd. All rights reserved. © 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/. The following publication Wu, B., Zong, L., Yip, T. L., & Wang, Y. (2018). A probabilistic model for fatality estimation of ship fire accidents. Ocean Engineering, 170, 266-275 is available at https://doi.org/10.1016/j.oceaneng.2018.10.056. |
| Appears in Collections: | Journal/Magazine Article |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| Wu_Probabilistic_Model_Fatality.pdf | Pre-Published version | 2.11 MB | Adobe PDF | View/Open |
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