Special Issue "Young Researchers in Ocean 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: 31 December 2022 | Viewed by 3132

Special Issue Editors

Prof. Dr. Mohamed Benbouzid
E-Mail Website
Guest Editor
Institut de Recherche Dupuy de Lôme (UMR CNRS 6027 IRDL), University of Brest, 29238 Brest, France
Interests: tidal and wave power; wind power; microgrids; energy management; fault detection and diagnosis; fault-tolerant control
Special Issues, Collections and Topics in MDPI journals
Dr. Anne Blavette
E-Mail Website
Guest Editor
SATIE Lab, CNRS, University of Rennes, ENS Rennes, avenue Robert Schuman, 35170 Bruz, France
Interests: wave and tidal power; grid integration; decentralized optimal energy management; dynamic rating
Special Issues, Collections and Topics in MDPI journals
Dr. Nicolas Guillou
E-Mail Website
Guest Editor
Cerema (Centre d’études et d’expertise sur les risques, l’environnement, la mobilité et l’aménagement), DtecREM, Hydraulique et Aménagement, 155 rue Pierre Bouguer, Technopôle Brest-Iroise, BP 5, 29280 Plouzané, France
Interests: physical oceanography; wave energy; coastal dynamics; numerical modelling; in situ observations; data mining
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Young minds are a tremendous source of new and challenging ideas in the field of ocean engineering. The next generation of researchers is poised to bring new insights to traditional ocean engineering topics. This Special Issue aims to highlight this new generation of researchers and quants who may not have been fortunate enough to have their work disseminated in a leading journal. In this context, we particularly encourage postdoctoral fellows, graduate students, and undergraduate students (with or without PhD/Fellow/Associate co-authors) to submit their work to this Special Issue, where the topics of interest include but are not limited to: marine and offshore renewable energy; fixed and floating offshore platforms; cables and mooring; buoy technology; foundation engineering; subsea engineering; tide and sediment transport; coastal and estuarine dynamics; and sea water quality.

Prof. Dr. Mohamed Benbouzid
Dr. Anne Blavette
Dr. Nicolas Guillou
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 2000 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

  • Marine and offshore renewable energy
  • Fixed and floating offshore platforms
  • Cables and mooring
  • Buoy technology
  • Foundation engineering
  • Subsea engineering
  • Tide and sediment transport
  • Coastal and estuarine dynamics
  • Sea water quality

Published Papers (4 papers)

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Research

Article
Assessment Method Based on AIS Data Combining the Velocity Obstacle Method and Pareto Selection for the Collision Risk of Inland Ships
J. Mar. Sci. Eng. 2022, 10(11), 1723; https://doi.org/10.3390/jmse10111723 - 11 Nov 2022
Viewed by 206
Abstract
A ship collision risk assessment model is an essential part of ship safety navigation. At present, the open water collision risk assessment model (such as the closest point of approach) is applied, but a ship collision risk model suitable for inland rivers is [...] Read more.
A ship collision risk assessment model is an essential part of ship safety navigation. At present, the open water collision risk assessment model (such as the closest point of approach) is applied, but a ship collision risk model suitable for inland rivers is still in the exploration stage. Compared with open waters, the inland waterway has a larger density of ships, and the land and water environments are complex. The existing risk assessment models lack adaptability under the conditions of inland navigation. Therefore, this paper proposes a real-time collision risk assessment method for ships navigating inland rivers. This method utilizes the information of ships’ size in the automatic identification system (AIS) to construct the velocity obstacle cone between convex polygonal targets using the velocity obstacle method. Then, according to the geometric relationship between the relative velocity of two targets and the velocity obstacle cone, a new collision risk assessment model is defined. This model defines two indicators to evaluate the navigation collision risk: the degree of velocity obstacle intrusion (DVOI) and time of velocity obstacle intrusion (TVOI). These two indicators assess the risk of collision, respectively, from two aspects speed and course. In addition, a method using a trajectory compression algorithm to screen collision avoidance operation points in ship AIS trajectory is proposed to screen collision avoidance scenarios in the Yangtze River waterway. The effectiveness of the proposed collision risk model is verified in course-keeping and collision avoidance scenarios and compared with the traditional closest point of approach (CPA) method. The results indicate that the evaluation model for collision risk assessment is more accurate than the CPA method in all scenarios. Finally, this paper uses the Pareto selection algorithm to combine DVOI and TVOI, which can identify the ship that poses the greatest risk to our ship. Full article
(This article belongs to the Special Issue Young Researchers in Ocean Engineering)
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Article
Effect of Saturation on Shear Behavior and Particle Breakage of Coral Sand
J. Mar. Sci. Eng. 2022, 10(9), 1280; https://doi.org/10.3390/jmse10091280 - 10 Sep 2022
Cited by 3 | Viewed by 427
Abstract
Coral sand is the main filling material for the island–reef foundation. Under tidal actions, the saturation (Sr) of coral sand layers varies with the specific depths in the reclaimed foundation. Studying the Sr effect of coral sand’s mechanical behaviors is crucial [...] Read more.
Coral sand is the main filling material for the island–reef foundation. Under tidal actions, the saturation (Sr) of coral sand layers varies with the specific depths in the reclaimed foundation. Studying the Sr effect of coral sand’s mechanical behaviors is crucial for the stability of the reclaimed foundation of island–reefs. In this study, a “quantitative injection method” was designed to prepare coral sand with saturation ranging from 90% to 100%, and unconsolidated–undrained (UU) triaxial shear tests were conducted on coral sand under different effective confining pressures (σ3). The results indicated that the stress–strain curves of coral sand under various conditions were of the strain-softening type. When σ3 = 200, 400, 600, and 800 kPa, the shear strength of coral sand decreased exponentially by 13.1, 9.1, 16.8, and 15.2%, respectively, with the increase in Sr from 90% to 100%. As Sr rose, the internal friction angle (φ) dropped by 3.77°. The cohesion (c) was not significantly affected by Sr compared to φ. In consideration of the physical susceptibility of coral sand to breakage, relative breakage ratio (Br) and modified relative breakage index (Br*) were introduced to evaluate the particle breakage behaviors of coral sand samples with different Sr levels in the triaxial shear process. It was found that Br and Br* increase linearly with increasing Sr; the effect of Sr on the particle breakage of coral sand weakens significantly when σ3 is sufficiently large. The median particle size (d50) of coral sand decreases with increasing Sr, and presents a negative linear correlation with both Br and Br*. Based on comparing the strength and particle breakage characteristics of coral sand samples with varying Sr levels, this study suggests that 92.5% should be considered as the Sr value of coral sand available for testing. Full article
(This article belongs to the Special Issue Young Researchers in Ocean Engineering)
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Article
Ship Dynamic Positioning Control Based on Active Disturbance Rejection Control
J. Mar. Sci. Eng. 2022, 10(7), 865; https://doi.org/10.3390/jmse10070865 - 24 Jun 2022
Viewed by 798
Abstract
Nowadays, Dynamic Positioning (DP) is applied to various tasks such as subsea pipeline laying and the requirements for the positioning performance in marine operations are higher and higher. The main objective of this paper is to design a DP controller based on the [...] Read more.
Nowadays, Dynamic Positioning (DP) is applied to various tasks such as subsea pipeline laying and the requirements for the positioning performance in marine operations are higher and higher. The main objective of this paper is to design a DP controller based on the Active Disturbance Rejection Control (ADRC) to solve the problems of long response time, large overshoot and low positioning accuracy in ship positioning. Firstly, the mathematical models of the ship and environmental disturbances are established. Secondly, the basic principle of ADRC is described. Meanwhile, stability analysis of the control system is introduced. Thirdly, ADRC is improved by the fal function filter and phase prediction method which solve the problem of dither and phase delay in tracking differentiators. Finally, simulations are carried out to verify the performance of the designed ADRC and the improved ADRC. Several simulation results show that the designed ADRC can realize the fixed-point control of the ship, which effectively solves the problems of long response time, overshoot and positioning accuracy, and compared with the traditional ADRC, the improved ADRC can reduce the error of straight track control, which indicates that ADRC can meet the requirements for the positioning performance and has a strong application value. Full article
(This article belongs to the Special Issue Young Researchers in Ocean Engineering)
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Article
Collision-Avoidance Decision System for Inland Ships Based on Velocity Obstacle Algorithms
J. Mar. Sci. Eng. 2022, 10(6), 814; https://doi.org/10.3390/jmse10060814 - 14 Jun 2022
Cited by 1 | Viewed by 707
Abstract
Due to the complex hydrology and narrow channels of inland rivers, ship collision accidents occur frequently. The traditional collision-avoidance algorithms are often aimed at sea areas, and not often at inland rivers. To solve the problem of inland-ship collision avoidance, this paper proposes [...] Read more.
Due to the complex hydrology and narrow channels of inland rivers, ship collision accidents occur frequently. The traditional collision-avoidance algorithms are often aimed at sea areas, and not often at inland rivers. To solve the problem of inland-ship collision avoidance, this paper proposes an inland-ship collision-avoidance decision system based on the velocity obstacle algorithm. The system is designed to assist ships in achieving independent collision-avoidance operations under the limitation of maneuverability while meeting inland-ship collision-avoidance regulations. First, the paper improves the Maneuvering Modeling Group (MMG) model suitable for inland rivers. Then, it improves velocity obstacle algorithms based on the dynamic ship domain, which can deal with different obstacles and three encounter situations (head-on, crossing, and overtaking situations). In addition, this paper proposes a method to deal with close-quarters situations. Finally, the simulation environment built by MATLAB software is used to simulate the collision avoidance of inland ships against different obstacles under different situations with a decision-making time of less than 0.1 s. Through the analysis of the simulation results, the effectiveness and practicability of the system are verified, which can provide reasonable collision-avoidance decisions for inland ships. Full article
(This article belongs to the Special Issue Young Researchers in Ocean Engineering)
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Autonomous Machinery Management and Particle Swarm Optimization for Supervisory Risk Control

Simon Blindheim, Borge Rokseth and Tor Arne Johansen

Abstract: Safe navigation for maritime autonomous surface ships (MASS) is a challenging task, and generally highly dependent on effective collaboration between multiple sub-systems in environments with various levels of uncertainty.  This paper presents a novel methodology combining risk-based optimal control and path following with autonomous machinery management (AMM) for MASS navigation and supervisory risk control.  Specifically, a risk-aware particle swarm optimization (PSO) scheme utilizes "time-to-grounding" predictions based on electronic navigational charts (ENC) to simultaneously control both the ship's motion as well as the machinery system operation (MSO) modes during transit.  The proposed autonomous navigation system (ANS) is comprised of an online receding horizon PSO approach from previous works, which produces a dynamic risk-aware path with respect to grounding obstacles from a pre-planned MASS path, subsequently given as the input to a line-of-sight guidance controller for path following.  Moreover, the MSO modes of the AMM system are simultaneously selected and assigned to explicit segments along the riskaware path throughout the receding horizon, which effectively introduces into the PSO scheme an additional safety layer as well as another optimizable dimension for risk or resource minimization. The performance of the resulting ANS is ultimately demonstrated and verified through simulations of various challenging scenarios and human assessment of the generated MASS trajectories
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