IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v242y2024ics0951832023006890.html
   My bibliography  Save this article

Reliability-based fatigue inspection planning for mooring chains of floating systems

Author

Listed:
  • Rezende, Filipe A.
  • Videiro, Paulo M.
  • Sagrilo, Luis V.S.
  • Oliveira, Mauro C.

Abstract

The safety of offshore floating units, supporting renewable energy generation or oil and gas production facilities, highly depends on the platform's station keeping capability, which is provided by mooring systems. Lately, there has been a high rate of mooring line failures, leading to increased interest in improving their design and maintenance methodologies. Specifically, upper chain segments at the splash zone are more prone to suffer from the effects of corrosion degradation and fatigue. The fatigue limit state and the corrosion allowance of mooring chains are safety requirements that need to be verified continuously through mandatory regular inspections. Current trends related to mooring chains point to the development of new methodologies for fatigue damage calculation, corrosion degradation models and inspection planning methods. The present work proposes a practical reliability-based method for planning future inspections of such mooring line components, which combines recently-developed fatigue and corrosion methodologies and takes into account the results of the previous inspections. The risk-based assessment of the mooring system is continuously updated with new inspection data, and is a suitable tool for monitoring the current reliability level of the structure. This work presents a case study of a FPSO on the Brazilian coast as a practical example of the application of the proposed inspection planning method. In this way, it aims to help future designers and operators to avoid failures in mooring chains and to optimizing inspection and maintenance costs.

Suggested Citation

  • Rezende, Filipe A. & Videiro, Paulo M. & Sagrilo, Luis V.S. & Oliveira, Mauro C., 2024. "Reliability-based fatigue inspection planning for mooring chains of floating systems," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
  • Handle: RePEc:eee:reensy:v:242:y:2024:i:c:s0951832023006890
    DOI: 10.1016/j.ress.2023.109775
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832023006890
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ress.2023.109775?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hegseth, John Marius & Bachynski, Erin E. & Leira, Bernt J., 2021. "Effect of environmental modelling and inspection strategy on the optimal design of floating wind turbines," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    2. Wu, Jingyi & Yu, Yang & Cheng, Siyuan & Li, Zhenmian & Yu, Jianxing, 2022. "Probabilistic multilevel robustness assessment framework for a TLP under mooring failure considering uncertainties," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    3. Shittu, Abdulhakim Adeoye & Mehmanparast, Ali & Hart, Phil & Kolios, Athanasios, 2021. "Comparative study between S-N and fracture mechanics approach on reliability assessment of offshore wind turbine jacket foundations," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Qiu, Na & Liu, Xiuquan & Li, Yanwei & Hu, Pengji & Chang, Yuanjiang & Chen, Guoming & Meng, Huixing, 2024. "Dynamic catastrophe analysis of deepwater mooring platform/riser/wellhead coupled system under ISW," Reliability Engineering and System Safety, Elsevier, vol. 246(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Song, Qianqian & Wang, Bo & Wang, Zhaohua & Wen, Lei, 2024. "Multi-objective capacity configuration optimization of the combined wind - Storage system considering ELCC and LCOE," Energy, Elsevier, vol. 301(C).
    2. Khakifirooz, Marzieh & Fathi, Michel & Lee, I-Chen & Tseng, Sheng-Tsaing, 2023. "Neural ordinary differential equation for sequential optimal design of fatigue test under accelerated life test analysis," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    3. Wen, Lei & Song, Qianqian, 2023. "ELCC-based capacity value estimation of combined wind - storage system using IPSO algorithm," Energy, Elsevier, vol. 263(PB).
    4. Kim, Wongon & Lee, Guesuk & Son, Hyejeong & Choi, Hyunhee & Youn, Byeng D., 2022. "Estimation of fatigue crack initiation and growth in engineering product development using a digital twin approach," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    5. Wu, Jingyi & Yu, Yang & Jin, Zihang & Zhang, Wenhao, 2024. "Multi-dimensional resilience assessment framework of offshore structure under mooring failure," Reliability Engineering and System Safety, Elsevier, vol. 247(C).
    6. Ferri, Giulio & Marino, Enzo, 2023. "Site-specific optimizations of a 10 MW floating offshore wind turbine for the Mediterranean Sea," Renewable Energy, Elsevier, vol. 202(C), pages 921-941.
    7. Gu, Hang-Hang & Wang, Run-Zi & Tang, Min-Jin & Zhang, Xian-Cheng & Tu, Shan-Tung, 2024. "Data-physics-model based fatigue reliability assessment methodology for high-temperature components and its application in steam turbine rotor," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    8. Thapa, Mishal & Missoum, Samy, 2022. "Uncertainty quantification and global sensitivity analysis of composite wind turbine blades," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    9. Qiu, Na & Liu, Xiuquan & Li, Yanwei & Hu, Pengji & Chang, Yuanjiang & Chen, Guoming & Meng, Huixing, 2024. "Dynamic catastrophe analysis of deepwater mooring platform/riser/wellhead coupled system under ISW," Reliability Engineering and System Safety, Elsevier, vol. 246(C).
    10. Wu, Jingyi & Yu, Yang & Yu, Jianxing & Chang, Xueying & Xu, Lixin & Zhang, Wenhao, 2023. "A Markov resilience assessment framework for tension leg platform under mooring failure," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    11. Gassab, Adel & Sghaier, Rabi Ben & Fathallah, Raouf, 2023. "Fatigue reliability prediction of shape memory alloy parts based on multi-scale high cycle fatigue criterion," Reliability Engineering and System Safety, Elsevier, vol. 239(C).
    12. Yeter, B. & Garbatov, Y. & Guedes Soares, C., 2022. "Life-extension classification of offshore wind assets using unsupervised machine learning," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    13. Lee, Dooyoul & Kwon, Kybeom, 2023. "Dynamic Bayesian network model for comprehensive risk analysis of fatigue-critical structural details," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    14. Piotr E. Srokosz & Ireneusz Dyka & Marcin Bujko & Marta Bocheńska, 2021. "A Modified Resonant Column Device for In-Depth Analysis of Vibration in Cohesive and Cohesionless Soils," Energies, MDPI, vol. 14(20), pages 1-25, October.
    15. Aboutalebi, Payam & Garrido, Aitor J. & Garrido, Izaskun & Nguyen, Dong Trong & Gao, Zhen, 2024. "Hydrostatic stability and hydrodynamics of a floating wind turbine platform integrated with oscillating water columns: A design study," Renewable Energy, Elsevier, vol. 221(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:reensy:v:242:y:2024:i:c:s0951832023006890. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.