ABSTRACT

At present, a number of offshore wind farms have been built in China and some of these offshore wind farms (not minority) are located on the sides of shipping lanes. This will lead to a certain risk of collision between the sailing ship and offshore wind turbine foundations due to the sailing direction deviation. So, the research on the risk assessment of offshore wind turbine collision with sailing ship cannot be ignored. This paper studies the occurrence probability of these collision risks. Multi-state Bayesian network is established by investigating the risk factors of collision between offshore wind turbine foundation and sailing ship. When calculating the probability of collision risk, the analytic hierarchy process and triangular fuzzy number are combined with expert scores and historical data to calculate the conditional probability table. The calculation result of the drift/dynamic collision probability are 0.04599 and 0.03879. Then, the mooring system fault f06 and steering gear fault f06 are the key factors leading to the risk of drift collision and dynamic collision, and should be timely checked during the ship navigation. This probabilistic analysis method can be used in the study of various risk events and the paper result holds a significant meaning to promote the safety management level of collision between offshore wind turbine foundation and sailing ship.

INTRODUCTION

With the rapid construction and development of offshore wind farms, the collision between ships and offshore wind turbine foundation (OWTF) is one of the main risks in the operation of offshore wind farms (Zhang, 2014; Moulas, 2017). At present, the construction of offshore wind farms is generally close to the waterway, which affects the passage of ships. In addition, due to the large tonnage of transport vessels, serious collision accidents (environmental pollution, economic loss, casualties) will be caused once collisions occur (Shi et al., 2018; Bea, 1994). This makes the ship collision risk analysis of OWTF increasingly important.

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