Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.4
2.7
Journals
JMSE
Special Issues
Innovative Technologies in Safety and Reliability of Marine Engineering
share announcement

Innovative Technologies in Safety and Reliability of Marine Engineering

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: 20 April 2025 | Viewed by 3742

Special Issue Editors

Dr. Shanshan Fu

E-Mail Website
Guest Editor
College of transport and communications, Shanghai Maritime University, Shanghai, China
Interests: maritime safety; Arctic shipping; navigational risk assessment; risk and resilience of maritime transportation systems; reliability analysis of marine engineering
Special Issues, Collections and Topics in MDPI journals
Dr. Yu Wu

E-Mail Website
Guest Editor
College of Engineering, Shanghai Ocean University, Shanghai, China
Interests: offshore engineering equipment design; performance analysis; structural damage detection technology; intelligent integrated inspection technology; intelligent sensor technology; intelligent equipment condition monitoring; fault diagnosis technology
Special Issues, Collections and Topics in MDPI journals
Dr. Mingyang Zhang

E-Mail Website
Guest Editor
Department of Mechanical Engineering, Aalto University, Espoo, Finland
Interests: safety in ship operations; machine learning; emerging maritime technologies
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the advancement of technology, marine exploration activities have gradually moved from coastal waters to deep sea and polar waters. The increased variety and complexity of emerging marine engineering systems and equipment pose a challenge to their safety and reliability.

The rapid development of innovative technologies, such as artificial intelligence, analytical approaches to big data, etc., will enhance the safety and reliability of marine engineering.

Considering these developments, the Journal of Marine Science and Engineering (JMSE) (https://www.mdpi.com/journal/jmse) is currently publishing a Special Issue entitled “Innovative Technologies in Safety and Reliability of Marine Engineering”.

As Guest Editors, we seek original contributions that cover emerging technologies and their practical applications, aiming to advance the reliability and safety of new ships and marine engineering equipment under real operating conditions. Potential topics include, but are not limited to, the following:

  • The safety, reliability, and resilience analysis of novel marine engineering equipment;
  • Reliability analyses of underwater structures;
  • Safety and reliability issues in deep-sea mining;
  • Safety analyses of ships and marine engineering in polar waters;
  • Safety analyses of maritime autonomous surface ships;
  • The role of AI and machine learning in enhancing safety protocols;
  • Autonomous and remotely operated marine vessels;

AI-driven decision support systems for navigation and operation.

Dr. Shanshan Fu
Dr. Yu Wu
Dr. Mingyang 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

  • the safety, reliability, and resilience analysis of novel marine engineering equipment
  • reliability analyses of underwater structures
  • safety and reliability issues in deep-sea mining
  • safety analyses of ships and marine engineering in polar waters
  • safety analyses of maritime autonomous surface ships
  • automation and artificial intelligence

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (4 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

31 pages, 7455 KiB  
Article
Unmanned Ship Collision Avoidance Action Plan Deduction Method under Man–Machine Interactive Negotiation in Collision Avoidance Scenarios
by Jian Zheng, Baoshuo Liu, Yun Li and Changhai Huang
J. Mar. Sci. Eng. 2024, 12(10), 1842; https://doi.org/10.3390/jmse12101842 - 15 Oct 2024
Viewed by 655
Abstract
With the development of artificial intelligence technology, the future water traffic environment will present a new pattern of coexistence of manned ships and unmanned ships, because unmanned ships are different from manned ships in situation understanding, collision avoidance decision-making, and so on. Therefore, [...] Read more.
With the development of artificial intelligence technology, the future water traffic environment will present a new pattern of coexistence of manned ships and unmanned ships, because unmanned ships are different from manned ships in situation understanding, collision avoidance decision-making, and so on. Therefore, the obstacle avoidance planning between unmanned ships and manned ships becomes extremely complex, and collision avoidance behavior scheme deduction becomes a key step in solving the problems related to situation understanding and collision avoidance decision-making in collision avoidance scenarios. In this paper, the situation understanding of the pilot for different collision avoidance situations is integrated into the dynamic obstacle avoidance model, and an intelligent navigation collision avoidance system is proposed to assist in deducing the collision avoidance action plan of the unmanned ship in the man–machine coexistence scenario. The intelligent navigation collision avoidance system is divided into two parts, namely a ship situation understanding part and a ship obstacle avoidance part, wherein ship situation understanding is used for realizing the transition of the collision state of the unmanned ship in the deduction process by constructing a collision-state set and a behavior decision set by using a finite state machine (FSM). Regarding ship obstacle avoidance, ship velocity obstacle is calculated based on the reciprocal velocity obstacle method (RVO), and the collision avoidance action is selected by using the behavior decision generated by the FSM to realize the dynamic collision avoidance deduction of the unmanned ship. In this study, the validity and effectiveness of the intelligent navigation collision avoidance system proposed in this paper are verified by case studies in a variety of collision avoidance scenarios. The system successfully solves the problem of intelligent collision avoidance planning, provides reliable support for the intelligent collision avoidance of unmanned ships, provides a feasible solution for safety and efficiency in sea navigation, and provides a valuable reference for the design and development of future intelligent navigation collision avoidance systems for ships. Full article
(This article belongs to the Special Issue Innovative Technologies in Safety and Reliability of Marine Engineering)
►▼ Show Figures

Figure 1

23 pages, 1100 KiB  
Article
Research on Response Strategies for Inland Waterway Vessel Traffic Risk Based on Cost-Effect Trade-Offs
by Yanyi Chen, Ziyang Ye, Tao Wang, Baiyuan Tang, Chengpeng Wan, Hao Zhang and Yunpeng Li
J. Mar. Sci. Eng. 2024, 12(9), 1659; https://doi.org/10.3390/jmse12091659 - 16 Sep 2024
Viewed by 717
Abstract
Compared to maritime vessel traffic accidents, there is a scarcity of available, and only incomplete, accident data for inland waterway accidents. Additionally, the characteristics of different waterway segments vary significantly, and the factors affecting navigation safety risks and their mechanisms may also differ. [...] Read more.
Compared to maritime vessel traffic accidents, there is a scarcity of available, and only incomplete, accident data for inland waterway accidents. Additionally, the characteristics of different waterway segments vary significantly, and the factors affecting navigation safety risks and their mechanisms may also differ. Meanwhile, in recent years, extreme weather events have been frequent in inland waterways, and there has been a clear trend towards larger vessels, bringing about new safety hazards and management challenges. Currently, research on inland waterway navigation safety risks mainly focuses on risk assessment, with scarce quantitative studies on risk mitigation measures. This paper proposes a new method for improving inland waterway traffic safety, based on a cost-effectiveness trade-off approach to mitigate the risk of vessel traffic accidents. The method links the effectiveness and cost of measures and constructs a comprehensive cost-benefit evaluation model using fuzzy Bayesian and quantification conversion techniques, considering the reduction effects of risk mitigation measures under uncertain conditions and the various costs they may incur. Taking the upper, middle, and lower reaches of the Yangtze River as examples, this research evaluates key risk mitigation measures for different waterway segments and provides the most cost-effective strategies. Findings reveal that, even if different waterways share the same key risk sources, the most cost-effective measures vary due to environmental differences. Moreover, there is no inherent correlation between the best-performing measures in terms of benefits and the lowest-cost measures, nor are they necessarily recommended. The proposed method and case studies provide theoretical support for scientifically formulating risk mitigation measures in complex environments and offer guidance for inland waterway management departments to determine future key work directions. Full article
(This article belongs to the Special Issue Innovative Technologies in Safety and Reliability of Marine Engineering)
►▼ Show Figures

Figure 1

20 pages, 6504 KiB  
Article
Improved D* Lite Algorithm for Ship Route Planning
by Yuankui Li, Fang Yang, Xinyu Zhang, Dongye Yu and Xuefeng Yang
J. Mar. Sci. Eng. 2024, 12(9), 1554; https://doi.org/10.3390/jmse12091554 - 5 Sep 2024
Viewed by 728
Abstract
To address the issue of intelligent ship route planning, a ship planning method based on the improved D* Lite algorithm is proposed. Firstly, a navigation environment grid map is constructed using the acquired meteorological and hydrological datasets. The grids are divided into navigable [...] Read more.
To address the issue of intelligent ship route planning, a ship planning method based on the improved D* Lite algorithm is proposed. Firstly, a navigation environment grid map is constructed using the acquired meteorological and hydrological datasets. The grids are divided into navigable and non-navigable according to navigation requirements, and a route planning model is built. Secondly, the heuristic function and the path function of the D* Lite algorithm are improved. The heuristic function is optimized and weighted, and a risk factor is introduced into the path function to enhance efficiency of path planning while maintaining a safe distance between the planned route and obstacles. Finally, by dynamically adjusting the search step length and the selectable directions of the D* Lite algorithm, the number of waypoints is reduced, and the voyage of the planned route is shortened, resulting in a smooth and collision-free route of ships. The effectiveness of the proposed algorithm is verified through three sets of simulation experiments. The simulation results show that the proposed method in this paper is more suitable for ship route planning and ship maneuvering in practice and can effectively avoid non-navigable grids while optimizing path length, path smoothness, and computation time, making the routes more aligned with actual navigation tasks. Full article
(This article belongs to the Special Issue Innovative Technologies in Safety and Reliability of Marine Engineering)
►▼ Show Figures

Figure 1

26 pages, 22542 KiB  
Article
Numerical Study on the Anti-Sloshing Effect of Horizontal Baffles in a Cargo Hold Loaded with Liquefied Cargo
by Jianwei Zhang, Anqi Wang, Peng Chen, Jian Liu and Deqing Yang
J. Mar. Sci. Eng. 2024, 12(7), 1234; https://doi.org/10.3390/jmse12071234 - 22 Jul 2024
Viewed by 741
Abstract
Sloshing of liquefied bulk granular cargoes weakens the stability of cargo carriers when at sea. Using the horizontal rectangle baffle is a promising way to restrain its sloshing motion. But the location height and optimal baffle area rate to achieve a better anti-sloshing [...] Read more.
Sloshing of liquefied bulk granular cargoes weakens the stability of cargo carriers when at sea. Using the horizontal rectangle baffle is a promising way to restrain its sloshing motion. But the location height and optimal baffle area rate to achieve a better anti-sloshing effect should be studied first. The discrete element method was adopted to establish the simulation model, and the direct shear test was used for verification. Through the static tilt tests, the definite relationship between the effects of moisture content on cargo motion and particle friction coefficients was acquired. Then, liquefied cargo motion in a cargo hold without baffles and with one and two pairs of horizontal baffles was simulated. Based on variations in the cargo gravity center offset and the sloshing-induced force on the cargo hold, the anti-sloshing effect of different settings of the baffles was compared. Results show that the baffles have the ability to restrain cargo sloshing, and this is important for sea transportation safety. The anti-sloshing effect is better when the baffle plane is right on the cargo top surface compared to the other location heights. Further, there is an optimal length–width combination, e.g., a single baffle plane with a length of 0.26 L and a width of 0.46 B, at which a better anti-sloshing effect could be achieved with the smallest baffle area rate. This study could be useful for the practical application of horizontal baffles for bulk granular cargo carriers. Full article
(This article belongs to the Special Issue Innovative Technologies in Safety and Reliability of Marine Engineering)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-4
Back to TopTop