Implementation of digital twin-enabled virtually monitored data in inspection planning
Li, Shen and Brennan, Feargal (2024) Implementation of digital twin-enabled virtually monitored data in inspection planning. Applied Ocean Research, 144. 103903. ISSN 0141-1187 (https://doi.org/10.1016/j.apor.2024.103903)
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Abstract
Marine structures are subjected to cyclic wave loads in ocean environments, leading to progressive forms of structural degradation such as fatigue cracks. To ensure fitness-for-service of these critical assets, there has been increasing interest in the application of digital twin-enabled virtual monitoring techniques. Whilst numerous studies have focused on computational algorithms dedicated to virtual monitoring, little effort has been devoted to establishing a practical digital-to-physical connection and decision-making based on virtually monitored data. This paper bridges this research gap by proposing an approach for implementing digital twin-enabled virtually monitored data in inspection planning for marine structures. The inspection of fatigue-prone structural components plays a crucial role in structural integrity management. Reliability-informed inspection, which employs a probabilistic approach that prioritises inspections based on probability of failure, offers a cost-effective approach by avoiding unnecessary inspections and reducing life-cycle costs. However, conducting a comprehensive structural reliability analysis requires thorough knowledge of the actual operational profile and current state of a structure (e.g. consumed fatigue life) in order to accurately predict its future performance (e.g. remaining fatigue life). Although design specifications and assumptions can serve as guidelines, a high degree of uncertainty may arise due to the discrepancy between the actual operational profile and the design assumptions. The approach developed in this paper consists of four main elements: virtual monitoring, data-driven forecasting, fatigue reliability, and inspection planning. This provides a practical means for establishing a connection between condition monitoring and assessment in the digital world and decision-making in the physical world. An illustrative numerical example is then presented to demonstrate the application of the proposed framework. Finally, avenues for future research and developments in this field are discussed.
ORCID iDs
Li, Shen and Brennan, Feargal ORCID: https://orcid.org/0000-0003-0952-6167;-
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Item type: Article ID code: 87981 Dates: DateEvent31 March 2024Published25 January 2024Published Online22 January 2024Accepted27 July 2023SubmittedSubjects: Naval Science > Naval architecture. Shipbuilding. Marine engineering
Science > Mathematics > Electronic computers. Computer scienceDepartment: Faculty of Engineering > Naval Architecture, Ocean & Marine Engineering Depositing user: Pure Administrator Date deposited: 30 Jan 2024 11:44 Last modified: 11 Nov 2024 14:12 URI: https://strathprints.strath.ac.uk/id/eprint/87981