Abstract
This paper addresses challenges in fatigue management of marine structural assets with a holistically approach, by jointly considering fatigue design, inspection and maintenance decisions, whilst taking into account sources of uncertainties affecting life cycle performance. A risk-informed and holistic approach is proposed for jointly optimizing fatigue design, inspection and maintenance based on the same fatigue deterioration model. The optimization parameters are fatigue design factor (FDF) and inspection intervals, while the objective is to minimize expected life cycle costs (LCC). The framework is to guide design process as well as to formulate optimal maintenance strategies. The proposed approach is exemplified for the marine industry through a fatigue-prone detail in a ship structure to obtain the life cycle optimal management solution that achieves a best compromise between structural safety and life cycle costs.
Originalsprog | Engelsk |
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Titel | The Proceedings of the Twenty-eighth (2018) International Ocean and Polar Engineering Conference : ISOPE2018 |
Redaktører | HyunWoo Jin, Odd M. Akselsen, Yongwon Lee, Suak Ho Van |
Antal sider | 8 |
Vol/bind | 4 |
Forlag | International Society of Offshore & Polar Engineers |
Publikationsdato | 2018 |
Sider | 471-478 |
ISBN (Trykt) | 978-1-880653-87-6 |
Status | Udgivet - 2018 |
Begivenhed | The 28th International Ocean and Polar Engineering Conference, ISOPE 2018 - Royton Sapporo Hotel, Sapporo (Hokkaido), Japan Varighed: 10 jun. 2018 → 15 jun. 2018 Konferencens nummer: 28 |
Konference
Konference | The 28th International Ocean and Polar Engineering Conference, ISOPE 2018 |
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Nummer | 28 |
Lokation | Royton Sapporo Hotel |
Land/Område | Japan |
By | Sapporo (Hokkaido) |
Periode | 10/06/2018 → 15/06/2018 |
Navn | Proceedings of the International Offshore and Polar Engineering Conference |
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Nummer | 28 |
ISSN | 1098-6189 |
Emneord
- Integrity management
- Risk-based inspection
- Maintenance optimization
- Uncertainty management
- Probabilistic design optimization
- Decision analysis
- Life cycle engineering