文献类型：期刊文献

英文题名：Geometrical risk evaluation of the collisions between ships and offshore installations using rule-based Bayesian reasoning

作者：Yu, Qing[1,2];Liu, Kezhong[1];Yang, Zhisen[2];Wang, Hongbo[3];Yang, Zaili[2]

机构：[1]Wuhan Univ Technol, Sch Nav, Wuhan, Peoples R China;[2]Liverpool John Moores Univ, Liverpool Logist Offshore & Marine Res Inst LOOM, Liverpool, Merseyside, England;[3]Guangdong Ocean Univ, Maritime Coll, Guangzhou, Peoples R China

年份：2021

卷号：210

外文期刊名：RELIABILITY ENGINEERING & SYSTEM SAFETY

收录：SCI-EXPANDED(收录号：WOS:000663909400006)、、EI(收录号：20210609893768)、Scopus(收录号：2-s2.0-85100420193)、WOS

基金：This work is financially supported by a National Science Foundation of China (NSFC) under Grant no.52031009 and a European Research Council project (TRUST CoG 2019 864742). Authors thank for all the anonymous reviewers' help and their valuable comments to improve this study.

语种：英文

外文关键词：Maritime risk; Ship collisions; Geometrical evaluation; Bayesian network

外文摘要：Increasing human installations and vessel traffic in offshore waters render a collision risk between ships and offshore installations (SOI). Past decades have witnessed many accidents occurred in the offshore waters involving complex traffic networks. To safeguard offshore installations and improve water-bound transport safety, this paper proposes a novel Bayesian-based model to assess the SOI collision risk involving passing ships. It first identifies the relevant risk factors with the aid of a geometrical analysis concerning SOI collisions. The causal relationships between the risk factors are numerically defined by causal rules with a degree of belief structure, while a Bayesian network (BN) is constructed to aggregate the evaluated value of each risk factor and to assess the collision risks involving different navigational environments. To illustrate the new model, a real case on SOI collision risk in the Liverpool Burbo Bank offshore wind farm is investigated. The results provide empirical evidence for SOI collision risk analysis under complex water conditions and uncertain navigational environments and hence useful insights on SOI collision avoidance.