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New Insights into Safety of Ships and Offshore Structures
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New Insights into Safety of Ships and Offshore Structures

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

Deadline for manuscript submissions: closed (1 February 2024) | Viewed by 9159

Special Issue Editors

Dr. Linying Chen

E-Mail Website
Guest Editor
School of Navigation, Wuhan University of Technology, Wuhan, China
Interests: autonomous ships; formation control; cooperative waterborne transport systems; coordinated scheduling; multi-agent systems
Dr. José Miguel Rodrigues

E-Mail Website
Guest Editor
SINTEF Ocean AS, Department of Ships and Ocean Structures, SINTEF Ocean, Postboks 4762 Torgard, N-7465 Trondheim, Norway
Interests: hydrodynamics; stability; seakeeping; dynamics of offshore structures; offshore renewable energy; potential flow
Special Issues, Collections and Topics in MDPI journals
Dr. Huarong Zheng

E-Mail Website
Guest Editor
Ocean College, Zhejiang University, Hangzhou, China
Interests: model predictive control; ocean robotics; distributed control and coordination with applications to waterborne networked systems
Special Issues, Collections and Topics in MDPI journals
Dr. Yang Zhou

E-Mail Website
Guest Editor
Faculty of Civil Engineering and Geosciences, Delft University of Technology, Delft, The Netherlands
Interests: AIS data analysis; ship behavior recognition; maritime traffic modeling; collision avoidance behavior of ships; maritime traffic organization in ports and waterways

Special Issue Information

Dear Colleagues,

The safety of ships and offshore structures is the most interesting and important aspect. Recently, new techniques, such as machine learning, artificial intelligence, and metaverse systems (e.g., digital twins, ICT, and IoT), have been applied to improve the safety of ships and offshore structures. The utilization of new techniques also introduces new challenges. For example, the shore-based control of a ship contains new safety aspects, and an interesting question will be the interaction of manned and unmanned ships in the same traffic area. Thus, new insights into the safety of ships and offshore structures are needed.

This Special Issue covers both ships and offshore structures (floating and fixed offshore platforms, offshore infrastructure, and subsea facilities) with a strong emphasis on the application of new techniques and their impacts on safety. High-quality papers directly related to various aspects, including but not limited to the following, are encouraged for publication:

  • Safety of ships
    • Stability and structural safety of ships;
    • Situation awareness, path planning, and collision avoidance;
    • Autonomous ships;
    • Risk assessment for shipping accidents;
    • Cyber security challenges for ships.
  • Safety of offshore structures
    • Hydrodynamic analysis of offshore structures;
    • Structural design and analysis of offshore structures;
    • Risk- and reliability-based approaches applied to offshore structures;
    • Safety management of offshore structures;
    • Fatigue.
  • Interactions between ships and offshore structures
    • Transportation and installation analysis of offshore structures;
    • Ship–structure collisions;
    • Task allocation, scheduling, and operation of offshore support vessels.

Dr. Linying Chen
Dr. José Miguel Rodrigues
Dr. Huarong Zheng
Dr. Yang Zhou
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

  • safety analysis
  • risk assessment
  • maritime safety
  • autonomous ships
  • offshore structures
  • structural safety and reliability
  • cyber security

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

Published Papers (5 papers)

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Research

16 pages, 2210 KiB  
Article
Consequences of the Improved Wave Statistics on a Hull Girder Reliability of Double Hull Oil Tankers
by Joško Parunov, Antonio Mikulić and Maro Ćorak
J. Mar. Sci. Eng. 2024, 12(4), 642; https://doi.org/10.3390/jmse12040642 - 11 Apr 2024
Viewed by 952
Abstract
This paper investigates the change in hull girder failure probabilities and partial safety factors caused by the implementation of the new procedure for direct computation of wave loads recommended by the International Association of Classification Societies (IACS). Differences between new and previous procedures [...] Read more.
This paper investigates the change in hull girder failure probabilities and partial safety factors caused by the implementation of the new procedure for direct computation of wave loads recommended by the International Association of Classification Societies (IACS). Differences between new and previous procedures are primarily related to the different associated scatter diagrams, and secondarily due to the assumptions on wave spectrum, wave energy spreading, and ship speed. This study performs a comparative structural reliability analysis of the global longitudinal bending of five oil tankers of different sizes between two procedures for wave load computation. Firstly, failure probabilities are compared, and secondly, modified partial safety factors are proposed, resulting in similar failure probabilities according to two separate procedures. It is found that implementation of the new revision of the IACS procedure for direct computation of wave loads results in a reduction of the minimum required ultimate vertical bending capacity of a ship hull by 10%. In addition to the novel investigation of the safety of oil tankers using a revised wave scatter diagram, this study offers a new rapid method for calculation of extreme vertical wave bending moments based on the regression of the parameters of the Weibull function, used for the long-term probability distribution of wave-induced loads. Full article
(This article belongs to the Special Issue New Insights into Safety of Ships and Offshore Structures)
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18 pages, 2254 KiB  
Article
Probabilistic Analysis of Basic Causes of Vessel–Platform Allision Accidents
by Utkarsh Bhardwaj, Angelo Palos Teixeira and C. Guedes Soares
J. Mar. Sci. Eng. 2024, 12(3), 390; https://doi.org/10.3390/jmse12030390 - 24 Feb 2024
Cited by 1 | Viewed by 1518
Abstract
This paper proposes a methodology to estimate the probability of basic causes of allision accidents between vessels and offshore platforms that overcomes the problem of data scarcity required for causal analysis. The approach uses information derived from incidental data and expert elicitation, processed [...] Read more.
This paper proposes a methodology to estimate the probability of basic causes of allision accidents between vessels and offshore platforms that overcomes the problem of data scarcity required for causal analysis. The approach uses information derived from incidental data and expert elicitation, processed by a multiple attribute utility method and hierarchical Bayesian analysis. First, the methodology is detailed, briefly describing the adopted approaches. A dataset of allision incidents provided mainly by the UK Health and Safety Executive and other agencies is prepared. The features of the incidents’ causation in terms of the causal factors and basic causes are presented and discussed. A novel scheme is proposed to evaluate the annual occurrence rates of basic causes of accidents from the relative importance of each basic cause derived by the Deck of Cards method. Then, a hierarchical Bayesian analysis is conducted to predict the posterior distribution of the occurrence rate of each basic cause in the time frame under analysis. The proposed holistic methodology provides transparent estimates of allision causation probabilities from limited and heterogeneous datasets. Full article
(This article belongs to the Special Issue New Insights into Safety of Ships and Offshore Structures)
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22 pages, 2605 KiB  
Article
Dynamic Tugboat Scheduling for Large Seaports with Multiple Terminals
by Changping Sun, Mengxia Li, Linying Chen and Pengfei Chen
J. Mar. Sci. Eng. 2024, 12(1), 170; https://doi.org/10.3390/jmse12010170 - 16 Jan 2024
Cited by 4 | Viewed by 1749
Abstract
Effective utilization of tugboats is the key to safe and efficient transport and service in ports. With the growth of maritime traffic, more and more large seaports show a trend toward becoming super-scale, and are divided into multiple specialized terminals. This paper focuses [...] Read more.
Effective utilization of tugboats is the key to safe and efficient transport and service in ports. With the growth of maritime traffic, more and more large seaports show a trend toward becoming super-scale, and are divided into multiple specialized terminals. This paper focuses on the problem of large-scale tugboat scheduling. An optimization problem is formulated considering the cross-region constraints and uncertainties during tugboat operation. An improved genetic algorithm is proposed based on the reversal operation (GA-RE) to solve the formulated Tug-SP. A task-triggered strategy is designed for dynamic scheduling and dealing with uncertainties. Taking Zhoushan Port as a representation of multi-terminal seaports, simulation experiments are carried out to demonstrate the effectiveness of the proposed method. Compared with historical scheduling data and the standard GA, the proposed method shows good performance in solving different scale instances (including a large-scale instance of 191 ships) in terms of solution quality and computational time. Full article
(This article belongs to the Special Issue New Insights into Safety of Ships and Offshore Structures)
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18 pages, 6591 KiB  
Article
Model for Wastage Allowance and Strength Properties of Pipe Piles Exposed to Marine Corrosion
by Ruilin Xia, Yordan Garbatov, Changyong Liu and Mingyang Sun
J. Mar. Sci. Eng. 2024, 12(1), 113; https://doi.org/10.3390/jmse12010113 - 7 Jan 2024
Cited by 1 | Viewed by 1255
Abstract
The study’s objective is to analyze the mechanical properties of steel pipe piles as a part of a trestle bridge subjected to five years of natural marine corrosion degradation. Sixteen tensile specimens are extracted from the steel pipe piles in the splash, tidal, [...] Read more.
The study’s objective is to analyze the mechanical properties of steel pipe piles as a part of a trestle bridge subjected to five years of natural marine corrosion degradation. Sixteen tensile specimens are extracted from the steel pipe piles in the splash, tidal, and immersion zones. The experimental tensile test results are used to establish regression equations defining the elastic modulus, yield strength, strain hardening index, and strength coefficient for the true stress–strain curves of the three regions. A non-linear time-dependent mathematical model is exploited to identify the corrosion degradation, using the data from one single corrosion degradation measurement campaign. The analysis indicates that the splash zone is experiencing the most severe corrosion degradation, and there are progressive losses in the mechanical properties of each zone as the corrosion degradation progresses. The established relationships of the mechanical properties, as a function of the ratio of corroded plate thickness to the as-built one, can be used as a fast-engineering approach to identify the mechanical properties of severely corroded piles. The corrosion degradation allowance is also defined using the first-order reliability method, accounting for existing uncertainties covered by the partial safety factors. By examining the impact of marine corrosion on the mechanical properties of marine structures and developing predictive models to assess the corrosion’s effect on material strength and corrosion allowance, the study aims to improve offshore structures’ safety, design, and maintenance. Full article
(This article belongs to the Special Issue New Insights into Safety of Ships and Offshore Structures)
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25 pages, 6723 KiB  
Article
Ship Trajectory Prediction: An Integrated Approach Using ConvLSTM-Based Sequence-to-Sequence Model
by Wenxiong Wu, Pengfei Chen, Linying Chen and Junmin Mou
J. Mar. Sci. Eng. 2023, 11(8), 1484; https://doi.org/10.3390/jmse11081484 - 25 Jul 2023
Cited by 14 | Viewed by 2567
Abstract
Maritime transportation is one of the major contributors to the development of the global economy. To ensure its safety and reduce the occurrence of a maritime accident, intelligent maritime monitoring and ship behavior identification have been drawing much attention from industry and academia, [...] Read more.
Maritime transportation is one of the major contributors to the development of the global economy. To ensure its safety and reduce the occurrence of a maritime accident, intelligent maritime monitoring and ship behavior identification have been drawing much attention from industry and academia, among which, the accurate prediction of ship trajectory is one of the key questions. This paper proposed a trajectory prediction model integrating the Convolutional LSTM (ConvLSTM) and Sequence to Sequence (Seq2Seq) models to facilitate simultaneous extraction of temporal and spatial features of ship trajectories, thereby enhancing the accuracy of prediction. Firstly, the trajectories are preprocessed using kinematic-based anomaly removal and Hierarchical Density-Based Spatial Clustering of Applications with Noise (HDBSCAN) to improve the data quality for the training process of trajectory prediction. Secondly, the ConvLSTM-based Seq2seq model is designed to extract temporal and spatial features of the ship trajectory and improve the performance of long-time prediction. Finally, by using real AIS data, the proposed model is compared with the Seq2Seq and Bidirectional LSTM based on attention mechanism (Bi-Attention-LSTM) models to verify its effectiveness. The experimental results demonstrate that the proposed model achieves excellent performance in predicting turning trajectories, good predictive accuracy on straight line motions, and greater improvement in prediction accuracy compared to the other two benchmark models. Overall, the proposed model represents a promising contribution to improving ship trajectory prediction accuracy and may enhance the safety and quality of ship navigation in complex and volatile marine environments. Full article
(This article belongs to the Special Issue New Insights into Safety of Ships and Offshore Structures)
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