Journal of Marine Science and Engineering

💡 #Newpaper in 2024 #University of Newcastle #University of Hafr AlBatin 🌊 Title: #TimeDomainVibration Analysis of an #IceShelf 🔑 Keywords: #iceshelfvibration; #shallowwater; #modeshapes; #linearbeam theory 🔗 paper link: https://lnkd.in/gytXpHz9 📜 Abstract：A method is presented to calculate the vibrations of an ice shelf floating in shallow water under different boundary conditions. One condition is that there is no flux, which reduces all calculations and the other is that there is no pressure at the seaward end of the ice shelf. The effect of these boundary conditions is investigated in detail, and the modes of vibration are also determined. Motion simulations of the system are presented for the potential velocity of the water and the vertical displacement of the ice shelf. These are found through a numerical method, which reduces all calculations to matrix multiplication. The underlying motion is shown to be very complex and difficult to interpret from single-point response measurements. The motion of more realistic ice shelves can be expected to be even more complicated.

💡 #Newpaper in 2024 #North University of China #@Shandong Product Quality Inspection Research Institute 🌊 Title: #UnderwaterTerrain Matching Method Based on Pulse-Coupled Neural Network for Unmanned Underwater Vehicles 🔑 Keywords: #unmannedunderwatervehicle; #terrainmatching positioning; pulse-coupled neural network; matching point screening; semi-physical simulation 🔗 paper link: https://lnkd.in/gRrjSFBk 📜 Abstract： The positioning results of terrain matching in flat terrain areas will significantly deteriorate due to the influence of terrain nonlinearity and multibeam measurement noise. To tackle this problem, this study presents the Pulse-Coupled Neural Network (PCNN), which has been effectively utilized for image denoising. The interconnection of surface terrain data nodes is achieved through PCNN ignition, which serves to alleviate the reduction in terrain similarity caused by measurement error. This enables the efficient selection of terrain data, ensuring that points with high measurement accuracy are preserved for terrain matching and positioning operations. The simulation results illustrate that the suggested methodology effectively removes terrain data points with low measurement accuracy, thereby improving the performance of terrain matching and positioning.

💡 #Highcitedpaper #Fisheries and Marine Institute of Memorial University of Newfoundland #HampidjanCanada 🌊 Title: Hydrodynamic Performance of Full-Scale T0 and T90 Codends with and without a Codend Cover 🔑 Keywords: #hydrodynamic performance; #flow; #mesh opening; #drag; #flumetank; #selectivity 🔗 paper link: https://lnkd.in/gxQm9eVh 📜 Abstract：The hydrodynamic performance of one full-scale T0 (mesh size 90 mm) and three T90 (mesh size 90, 100, and 110 mm) codends was investigated and compared using flume tank testing, with and without a small-mesh cover. We evaluated how flow velocity, mesh circularity, and drag changed in each codend at five different towing speeds (0.5–0.9 m/s). The results demonstrated that flow velocity decreased along the length of a codend, and this effect was pronounced in the T0 codend. Increasing the mesh size of T90 codends from 90 to 110 mm did not significantly affect flow velocity. A novel parameter, termed mesh circularity, was developed and introduced to describe mesh opening. Mesh circularity in the T0 codend decreased along the length of the codend, which contrasted with the T90 codends. Results showed that the T90 codends maintained relatively open meshes (circularity ranged from ~0.8 to 1.0 along the length of the codend) compared to the T0 (circularity ranged from ~0.6 to 0.4). Each T90 codend had a significantly (p < 0.05) higher drag than the T0 codend when using the same simulated catch. For the covered codend comparisons, the flow velocity in the area between codend and cover did not change for the T0 codend (p > 0.05), but was significantly different for the T90 codend (p < 0.05). The results of this research provide fundamental knowledge useful for understanding and improving selectivity of trawls in marine fisheries, especially for revealing the masking effects of the cover net on the codend.

💡 #Highcitedpaper #University of Valencia 🌊 Title: Mediterranean #Coastal #Lagoons Review: Sites to Visit before Disappearance 🔑 Keywords: #fishing; #pollution; #transparency; #eutrophication; #Mediterranean basin 🔗 paper link: https://lnkd.in/gnRBegxR 📜 Abstract：Coastal lagoons are an established priority habitat in the European environment because of the biological communities that inhabit them. Their origin is related to the transport of sediments from a nearby river or the movement of sands by the marine currents that produce the closure of a gulf. Therefore, they are recent geological formations, which also disappear quickly if environmental conditions change. The 37 coastal lagoons with a surface area greater than 10 km2 located in the Mediterranean basin have been identified. Fishing has been the traditional use of these lagoons, in addition to their use as a navigation harbor when they are open to the sea. Pollution, quality problems and their consequences are the most studied topics in recent publications. Sentinel-2 images taken in the summer of 2020 have been used to study water transparency, suspended matter and chlorophyll a concentration. The result was that only six of them are in good ecological condition, but most of them are eutrophic due to the impacts on their environment and the inflow of poor quality water. The cultural values of these lagoons must also be protected and preserved.

#Callforpaper 👇👇👇 #underwateracoustics #marinebioacoustics #acousticmonitoringsystems #underwatersoundscapes 🌊Special Issue : Advanced Research in Marine Environmental and #FisheriesAcoustics 👨🎓Guest Editor: Dr. Shima Abadi #University of Washington Dr. Kyounghoon Lee #Pukyong National University Dr. Dezhang Chu #@NOAA Northwest Fisheries Science Center 💻More at: https://lnkd.in/gFg9yseM ⏰Close date: 20 February 2025

#Callforpaper 👇👇👇 #DeepSeaMining #MiningTechnologies #geotechnicalproperties #LiftPumping System #LiftingPipeline 🌊Special Issue: Deep-Sea Mining Technologies: Recent Developments and Challenges 👨🎓Guest Editor: Prof. Dr. Tetsuo Yamazaki #Osaka Metropolitan University Dr. Sup Hong #KRISO(Korea Research Institute of Ships & Ocean Engineering) Dr. Rahul Sharma #CSIR - National Institute of Oceanography 💻More at: https://lnkd.in/gCWANrtf ⏰Close date: 1 January 2025 😎 5 papers have been published in this collection. Welcome reading!

💡 #Highcitedpaper #Jimei University 🌊 Title: An Improved A-Star Ship Path-Planning Algorithm Considering Current, Water Depth, and #Traffic Separation Rules 🔑 Keywords: #ship global #pathplanning; A-star #algorithm; #navigational safety; #pathoptimization 🔗 paper link: https://lnkd.in/gy8nd394 📜 Abstract：The influence of the maritime environment such as water currents, water depth, and traffic separation rules should be considered when conducting ship path planning. Additionally, the maneuverability constraints of the ship play a crucial role in navigation. Addressing the limitations of the traditional A-star algorithm in ship path planning, this paper proposes an improved A-star algorithm. Specifically, this paper examines the factors influencing ship navigation safety, and develops a risk model that takes into account water currents, water depth, and obstacles. The goal is to mitigate the total risk of ship collisions and grounding. Secondly, a traffic model is designed to ensure that the planned path adheres to the traffic separation rules and reduces the risk of collision with incoming ships. Then, a turning model and smoothing method are designed to make the generated path easy to track and control for the ship. To validate the effectiveness of the proposed A-star ship path-planning algorithm, three cases are studied in simulations and representative operational scenarios. The results of the cases demonstrate that the proposed A-star ship path-planning algorithm can better control the distance to obstacles, effectively avoid shallow water areas, and comply with traffic separation rules. The safety level of the path is effectively improved.

💡 #Highcitedpaper #Huazhong University of Science and Technology 🌊 Title: Digital Twin in the #Maritime Domain: A Review and Emerging Trends 🔑 Keywords: #digitaltwin; #digitalization; #smartshipping; #autonomoussurfacevehicles; #citespace; #scientometricanalysis 🔗 paper link: https://lnkd.in/gNbJnTKU 📜 Abstract：This paper highlights the development of Digital Twin (DT) technology and its admittance to a variety of applications within the maritime domain in general and surface ships in particular. The conceptual theory behind the evolution of DT is highlighted along with the development of the technology and current progress in practical applications with an exploration of the key milestones in the extension from the electrification of the shipping sector towards the realization of a definitive DT-based system. Existing DT-based applications within the maritime sector are surveyed along with the comprehension of ongoing research work. The development strategy for a formidable DT architecture is discussed, culminating in a proposal of a four-layered DT framework. Considering the importance of DT, an extensive and methodical literature survey has also been carried out, along with a comprehensive scientometric analysis to unveil the methodical footprint of DT in the marine sector, thus leading the way for future work on the design, development and operation of surface vessels using DT applications.

💡 #Highcitedpaper #University of Naples Federico II 🌊 Title: A Review on the Recycling Technologies of #Fibre-Reinforced Plastic (#FRP) Materials Used in Industrial Fields 🔑 Keywords: recycling; #compositematerials; waste management; #chemicalrecycling; #thermalrecycling; #mechanicalrecycling 🔗 paper link: https://lnkd.in/g8iq6iv8 📜 Abstract： Fibre-reinforced plastic (FRP) materials are attracting growing interest because of their high specific mechanical properties. These characteristics, in addition to a high level of tailorability and design of freedom, make them attractive for marine, aerospace, automotive, sports and energy applications. However, the large use of this class of material dramatically increases the amount of waste that derives from end-of-life products and offcuts generated during the manufacturing processes. In this context, especially when thermosetting matrices are considered, the need to deeply study the recycling process of FRPs is an open topic both in academic and industrial research. This review aims to present the current state of the art of the most affirmed recycling technologies used for polymeric composites commonly used in industrial applications, such as carbon and glass FRPs. Each recycling method (i.e., chemical, thermal and mechanical) was analysed in terms of technological solutions and process parameters required for matrix dissolution and fibre recovery, showing their advantages, drawbacks, applications and properties of the recycled composites. Therefore, the aim of this review is to offer an extensive overview of the recycling process of polymeric composite materials, which is useful to academic and industrial researchers that work on this topic.

💡 #Highcitedpaper #Harbin Engineering University 🌊 Title: A Novel Short-Term Ship Motion Prediction Algorithm Based on EMD and Adaptive #PSO–LSTM with the Sliding Window Approach 🔑 Keywords: #shipmotion attitude prediction; #deeplearning; #slidingwindow technique; #parameteroptimizationalgorithm 🔗 paper link: https://lnkd.in/gRQBTB8Q 📜 Abstract：Under the influence of variable sea conditions, a ship will have an oscillating motion comprising six degrees of freedom, all of which are connected to each other. Among these degrees of freedom, rolling and pitching motions have a severe impact on a ship’s maritime operations. An accurate and effective ship motion attitude prediction method that makes the prediction in a short period of time is required to guarantee the safety and stability of the ship’s maritime operations. Traditional methods are based on time domain analysis, such as the autoregressive moving average (ARMA) models. However, these models have limitations when it comes to predicting the nonlinear and nonstationary characteristics of real ship motion attitude data. Many intelligent algorithms continue to be applied in nonlinear and nonstationary ship attitude prediction, such as extreme learning machines (ELMs) and the long short-term memory (LSTM) neural network, as well as other deep learning methods, showing promising results. By using the sliding window approach, the time-varying dynamic characteristics of the ship’s motion attitude can be preserved better. The simulation results demonstrate that the proposed model performs well in terms of predicting the nonlinear and nonstationary ship motion attitude.