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Publishing Language: Chinese

Maintenance strategy analysis of fatigue-sensitive structure under service life extension uncertainty

Jie ZHANG1, Yan LIU1( ), Tianyun LI1, Yiwen LU2
School of Naval Architecture and Ocean Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
China Ship Development and Design Center, Wuhan 430064, China
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Abstract

Objectives

In order to reduce the influence of ship service life extension uncertainty and fatigue risk during future service life extension, a dynamic maintenance sequence decision based on the real option analysis method is adopted.

Methods

The local fatigue of a high-speed ship is taken as an example. This strategy strengthens the maintenance in the early stages of the ship's service and determines the adaptive maintenance decision according to the requirements of service life extension in the later stages, thereby adapting to the various possibilities of service life extension in the future.

Results

Compared with the traditional maintenance strategy, the flexible decision under real option analysis can reduce the influence of service life extension uncertainty and effectively reduce failure risk during service life extension.

Conclusions

The sequential decision made via the real option analysis method has strong adaptability to the uncertainty of service life extension in the future and provides a new idea for maintenance decisions.

Keywords

fatigue damageuncertainty of service life extensionmaintenance managementreal option analysisflexibility
CLC number: U672.7 Document code: A

References

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Chinese Journal of Ship Research
Volume 18 Issue 4,
August 2023
Pages 233-241
DOI: 10.19693/j.issn.1673-3185.02786

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Cite this article:
ZHANG J, LIU Y, LI T, et al. Maintenance strategy analysis of fatigue-sensitive structure under service life extension uncertainty. Chinese Journal of Ship Research, 2023, 18(4): 233-241. https://doi.org/10.19693/j.issn.1673-3185.02786

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Received: 27 January 2022
Revised: 22 April 2022
Published: 20 July 2023
© 2023 Chinese Journal of Ship Research.