Health Monitoring and Reliability Assessment of Marine and Offshore Structure

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Ocean Engineering".

Deadline for manuscript submissions: 5 March 2025 | Viewed by 548

Special Issue Editors


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Guest Editor
Ocean Institute, Northwestern Polytechnical University, Taicang 215400, China
Interests: structural health monitoring; reliability analysis; reliability-based design optimization; uncertainty quantification and propagation; design and analysis of marine and offshore structures
Department of Civil Engineering, Tsinghua University, Beijing 100086, China
Interests: reliability; offshore engineering; structural safety
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Special Issue Information

Dear Colleagues,

As the number of marine and offshore structures increases, safety accidents caused by structural failures also occur. In addition, as the service life increases, the structure will face long-term environmental factors, material aging, design deviations, and other issues, causing serious safety hazards. Therefore, conducting research on structural health monitoring and reliability analysis of marine and offshore structures is crucial to structural safety.

Guest editors of this proposed Special Issue believe that surrogate models, artificial intelligence, and optimization algorithms can allow us to develop efficient methods for health monitoring and reliability assessment of marine and offshore structures, and with this in focus, we are looking for original manuscripts in the following areas:

  • Structural health monitoring;
  • Uncertainty analysis and modeling;
  • Surrogate modeling;
  • Reliability and sensitivity analysis;
  • Machine learning and deep learning;
  • Physics-informed neural networks;
  • Reliability-based design optimization;
  • Data-driven reduced-order model;
  • Structural system and parameter identification.

We encourage the submission of high-quality papers including but not limited to the above aspects.

Prof. Dr. Jian Zhang
Dr. Yi Zhang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Marine Science and Engineering is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • ocean engineering
  • civil engineering
  • structural health monitoring
  • reliability assessment
  • uncertainty quantification
  • surrogate modeling
  • artificial intelligence algorithm
  • data-driven
  • reduced-order model

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Published Papers (1 paper)

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Research

22 pages, 8642 KiB  
Article
A Quasi Time-Domain Method for Fatigue Analysis of Reactor Pressure Vessels in Floating Nuclear Power Plants in Marine Environments
by Fuxuan Ma, Huanming Li, Meng Zhang and Xiangiang Qu
J. Mar. Sci. Eng. 2024, 12(11), 2085; https://doi.org/10.3390/jmse12112085 - 18 Nov 2024
Viewed by 402
Abstract
The reactor pressure vessel (RPV) in onshore nuclear power plants is typically analysed for fatigue life by considering the temperature, internal pressure, and seismic effects using a simplified time-domain fatigue analysis. In contrast, the frequency-domain fatigue analysis method is commonly employed to assess [...] Read more.
The reactor pressure vessel (RPV) in onshore nuclear power plants is typically analysed for fatigue life by considering the temperature, internal pressure, and seismic effects using a simplified time-domain fatigue analysis. In contrast, the frequency-domain fatigue analysis method is commonly employed to assess the fatigue life of ship structures. The RPV of a floating nuclear power plant (FNPP) is subjected to a combination of temperature, internal pressure, and wave loads in the marine environment. Consequently, it is essential to effectively integrate the frequency-domain fatigue analysis method used for hull structures with the time-domain fatigue analysis method for RPVs in FNPPs or, alternatively, to develop a suitable method that effectively accounts for the temperature, internal pressure, and wave loads. In this study, a quasi-time-domain method is proposed for the fatigue analysis of RPVs in FNPPs. In this method, secondary components of marine environmental loads are filtered out using principal component analysis. Subsequently, the stress spectrum induced by waves is transformed into a stress time history. Fatigue stress under the combined influence of temperature, internal pressure, and wave loads is then obtained through a stress component superposition method. Finally, the accuracy of the quasi-time-domain method was validated through three numerical examples. The results indicate that the calculated values obtained by the quasi-time-domain method are slightly higher than those obtained by the traditional time-domain method, with a maximum deviation of no more than 24%. Additionally, the computation time of the quasi-time-domain method is reduced by 98.67% compared to the traditional time-domain method. Full article
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