Mujeeb-Ahmed, MP;
Seo, JK;
Paik, JK;
(2018)
Probabilistic approach for collision risk analysis of powered vessel with offshore platforms.
Ocean Engineering
, 151
pp. 206-221.
10.1016/j.oceaneng.2018.01.008.
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Abstract
The continuous increase in marine traffic and the construction of several offshore installations has led to a serious concern regarding the risks to offshore platforms from ship collisions. The main aim of this study was to carry out a probabilistic collision-risk analysis for offshore platforms exposed to powered collisions with passing vessels using an automatic identification system (AIS) database. The paper first describes the statistical distribution of the ship traffic under study and then considers how this information can be effectively used to estimate collision frequencies and impact energies for various categories of vessel, based on a simple probabilistic method. The effects of various collision mitigation measures, such as the use of enhanced collision alarming devices and the ability of platforms to rotate using thrusters, are considered in the frequency calculations. The risk method presented in this paper can be applied in the design and development phase of both new and existing platforms.
Type: | Article |
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Title: | Probabilistic approach for collision risk analysis of powered vessel with offshore platforms |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1016/j.oceaneng.2018.01.008 |
Publisher version: | http://dx.doi.org/10.1016/j.oceaneng.2018.01.008 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Ship–platform collision, Probabilistic risk method, AIS database, Powered collision, Collision frequency |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Mechanical Engineering |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10046159 |
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