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A hybrid model for human-factor analysis of engine-room fires on ships: HFACS-PV&FFTA

Sarialioglu, S, Ugurlu, O, Aydin, M, Vardar, B and Wang, J (2020) A hybrid model for human-factor analysis of engine-room fires on ships: HFACS-PV&FFTA. Ocean Engineering, 217. ISSN 0029-8018

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Abstract

In this study, an analysis of fire-explosion accidents in ship engine rooms was conducted. For analysis, a hybrid method including the Human Factors Analysis and Classification System (HFACS) and fuzzy fault tree analysis (FFTA) was used. Using the HFACS method, the factors in the formation of engine-room fires were classified according to a hierarchical structure. The possible accident scenarios and probabilities were calculated using the FFTA method. In this study, it was observed that fire-explosion accidents were concentrated in ships over 20 years old and that mechanical fatigue affected accident formation. In particular, when the increased hot surfaces due to the operation of a ship's engines while it is in motion are combined with oil/fuel leakage, fire-related accidents become inevitable. Failure to provide proper insulation also triggers the occurrence of accidents. It has been observed that some of such accidents occur because the materials used in maintenance and repair work are not original to the ship. During this study, the causes of accidents were examined to prevent fire-related accidents from occurring in engine rooms, and suggestions were made to prevent similar accidents from happening in the future.

Item Type: Article
Uncontrolled Keywords: 0405 Oceanography, 0905 Civil Engineering, 0911 Maritime Engineering
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management
V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering
Divisions: Engineering
Publisher: Elsevier
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Date Deposited: 08 Mar 2021 11:19
Last Modified: 08 Mar 2021 11:30
DOI or Identification number: 10.1016/j.oceaneng.2020.107992
URI: https://researchonline.ljmu.ac.uk/id/eprint/14569

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