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: closed (10 August 2025) | Viewed by 2972

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

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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 (3 papers)

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Research

19 pages, 1476 KB  
Article
The Reliability of Offshore Jacket Platforms Based on Bayesian Calibration
by Fang Zhou, Fansheng Meng, Yuhan Zhao, Jinbo Chen, Rui Zhao, Yongfei Zhang, Zhaolong Han and Yan Bao
J. Mar. Sci. Eng. 2025, 13(10), 1989; https://doi.org/10.3390/jmse13101989 - 17 Oct 2025
Viewed by 163
Abstract
The safety of offshore structures is a key topic in developing offshore oil and gas and offshore wind energy. Due to the harsh offshore environment and costly offshore field tests, offshore field trials to validate the theoretical models for offshore structures are limited, [...] Read more.
The safety of offshore structures is a key topic in developing offshore oil and gas and offshore wind energy. Due to the harsh offshore environment and costly offshore field tests, offshore field trials to validate the theoretical models for offshore structures are limited, and testing results can rarely be found in the public domain. The Bayesian updating technique combines existing engineering knowledge with the observed performance data about in-service offshore structures to update model uncertainties. Hence, the Bayesian technique overcomes the shortcomings of limited offshore field trials. This paper compiles performance data on offshore jackets in hurricanes in the Gulf of Mexico (GoM) in the past two decades and calibrates the model uncertainties of the API method using the Bayesian technique. With the updated model uncertainty, this paper evaluates the reliability of generic offshore jackets in the GoM and the case study’s offshore wind substation in China. With a typical reserve strength ratio (RSR) of about 2.0 to 2.2, the reliability analysis reveals that the updated annual failure probability of a generic offshore jacket in the GoM is largely less than 1.0×103, indicating that the extreme weather overload is not a major concern. However, the RSR of the case study platform in China is greater than 4.5, and the annual failure probability for the case study offshore wind substation is about 2–3 orders of magnitude lower than typical oil and gas jackets. Hence, from the extreme metocean condition perspective, the substation under investigation has sufficient structural capacity, and the design practice for offshore wind substations in northern China may be improved. Full article
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26 pages, 7202 KB  
Article
A Damage Combination Method for Fatigue Analysis of Pressure Equipment in Floating Nuclear Power Plants
by Kai Shen, Fuxuan Ma, Jialong Yuan and Meng Zhang
J. Mar. Sci. Eng. 2025, 13(2), 236; https://doi.org/10.3390/jmse13020236 - 26 Jan 2025
Cited by 2 | Viewed by 853
Abstract
The operation of floating nuclear power plants is subject to a number of environmental factors in addition to the typical working temperature and pressure loads. These include marine environmental loads, which can cause fatigue damage and therefore must be taken into account. The [...] Read more.
The operation of floating nuclear power plants is subject to a number of environmental factors in addition to the typical working temperature and pressure loads. These include marine environmental loads, which can cause fatigue damage and therefore must be taken into account. The fatigue analysis of marine structures frequently employs frequency domain methods, whereas the fatigue analysis of pressure equipment predominantly utilizes time-domain methods. At present, there is no comprehensive and accessible approach for conducting a fatigue analysis of pressure equipment in floating nuclear power plants. In light of the aforementioned considerations, this paper puts forth a novel approach to evaluating fatigue damage based on the principle of damage combination. This article presents a finite element model of pressure equipment and a methodology for calculating the transfer function of such equipment under wave loads. The frequency domain method is employed to calculate the fatigue damage caused by wave loads, with consideration given to both the working temperature and pressure load. The stress time history curve of pressure-bearing equipment is then calculated using the time-domain method. Subsequently, the fatigue damage caused by thermal pressure loads is obtained through a combination of the rainflow counting method and cumulative damage theory, with verification conducted using time-domain calculations. In comparison to alternative damage combination methodologies, the novel approach offers more precise and straightforward damage calculations, with promising potential for integration into engineering design. Full article
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22 pages, 8642 KB  
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
Cited by 4 | Viewed by 1310
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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