Sindi, Abdulaziz;
Thomas, Giles;
Paik, Jeom Kee;
(2021)
A state-of-the-art on the digital twin modelling for lifetime healthcare of ships and offshore structures.
In:
Proceedings of the 2021 International Conference on Ships and Offshore Structures (ICSOS 2021).
International Conference on Ships and Offshore Structures (ICSOS): Hamburg, Germany.
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ICSOS2021_DT_Aziz.pdf - Published Version Access restricted to UCL open access staff until 27 October 2025. Download (752kB) |
Abstract
Structures in offshore conditions be it ships, jacket structures or wind turbines are exposed to a great deal of risks due to the hydrodynamic nature of the offshore environment as well as the loads the structures undergo. Materials that make up these structures experience fatigue cracking, local denting and corrosion over time which intern places the structures at risk. Maintaining their good health conditions is of paramount importance to continue safe operations and minimise financial-expenditure. The application of digital twins (DT) framework of a Lifetime Health care system in the marine industry addresses the risks associated with ships and offshore structures. For maintenance management it is a tool well worth having, a digital replica of the physical asset would significantly improve operational efficiency and safety management. There are many challenges to applying digital twins in the marine industry that need to be overcome in order to have an adiquet and reliable system. This article reviews the state-of-the-art digital twin in the marine industry along with some of the challenges it proposes to solve and the areas that require more attention to improve the technology.
Type: | Proceedings paper |
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Title: | A state-of-the-art on the digital twin modelling for lifetime healthcare of ships and offshore structures |
Event: | 2021 International Conference on Ships and Offshore Structures (ICSOS 2021) |
Location: | Hamburg, Germany |
Dates: | 6 Sep 2021 - 8 Sep 2021 |
Publisher version: | https://www.icsos.info/past-conferencese289df64 |
Language: | English |
Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Digital Twin, Ships, Offshore Structures, Health Monitoring, Artificial Intelligence, Internet of Things, State-of-the art |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Mechanical Engineering |
URI: | https://discovery.ucl.ac.uk/id/eprint/10212690 |
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