Kim, Hyeong Jin;
Paik, Jeom Kee;
(2025)
A digital twin model within the framework of a digital healthcare engineering system for aging containership hull structures.
Ships and Offshore Structures
10.1080/17445302.2025.2505827.
(In press).
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Abstract
Digital Healthcare Engineering (DHE) offers a proactive approach to improving the safety, longevity, and sustainability of aging ships and offshore structures operating in harsh and remote environments. The DHE framework is composed of five interconnected modules: (1) on-site monitoring and digitalization of structural health parameters, (2) transmission of collected data to land-based analytics centers via low Earth orbit (LEO) satellites, (3) advanced analytics and simulations through digital twin technology, (4) AI-driven diagnostics with automated maintenance recommendations, and (5) predictive health analysis for future maintenance planning. This paper focuses on the development of a digital twin model used for data analytics and simulations within the DHE system, specifically for aging containership hull structures. A case study involving an as-built 22,000 TEU containership is presented to demonstrate the digital twin's effectiveness, where on-site monitoring of parameters such as ocean wave profiles and in-service damage (e.g. corrosion wastage) is integrated with the land-based analytics system.
| Type: | Article |
|---|---|
| Title: | A digital twin model within the framework of a digital healthcare engineering system for aging containership hull structures |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1080/17445302.2025.2505827 |
| Publisher version: | https://doi.org/10.1080/17445302.2025.2505827 |
| Language: | English |
| Additional information: | © 2025 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent. |
| Keywords: | Science & Technology, Technology, Engineering, Marine, Engineering, Digital healthcare engineering (DHE), aging ships and offshore structures, harsh and remote environments, digital twins, AI-driven diagnostics |
| 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/10216735 |
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