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Brodogradnja
Scopus
ISSN 0007-215X · Faculty of Mechanical Engineering and Naval Architecture · 327 artikel di indeks
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Artikel Jurnal
Numerical study on the influence of localized damage effect of explosives on steel plate structure damage under underwater contact explosions
This study investigates the fluid-structure interaction dynamics induced by underwater explosive, focusing on the impact of localized damage effects of explosive on the transient interaction between plate structures. To accurately characterize this localized effect, numerical experiments were…
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Modelling maritime GHG emission measures impact assessment: A case study for container shipping by system dynamics
The shipping industry is responsible for around 2% of carbon dioxide (CO₂) emissions worldwide. This research explores the interaction of technology change, operational approaches, and policy measures in achieving the target for reducing greenhouse gas (GHG) emissions. A simulation model based on…
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Robust trajectory tracking of surface vessels in ice floe sea state via discrete integral sliding-mode control and Gaussian process regression
By considering the disturbance caused by ice floes in polar regions, the trajectory tracking control problem for uncertain unmanned surface vessels (USVs) is investigated in this paper. USVs for trajectory tracking missions in polar regions are required to not only overcome common disturbances and…
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Research on deep learning-based network intrusion detection methods for smart ships
As the development of intelligent ships rapidly progresses, the importance of maritime network security escalates. Intrusion Detection Systems (IDS) serve as a pivotal defense mechanism against cyberattacks targeting these vessels. To augment the efficacy of IDS in detecting anomalous network…
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Development of collision-case-based testing scenarios for validating autonomous ship collision-avoidance algorithms
The criticality of collision-avoidance technology for ensuring safe navigation of autonomous ships necessitates diverse testing scenarios that reflect complex maritime environments. However, previous testing scenarios, often based on virtual trajectories or simplified encounters, have shown…
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A negotiation method for cooperative collision avoidance between ships in mixed navigation scenarios: model construction, strategy driving, and unilateral learning
With the gradual development of Maritime Autonomous Surface Ships (MASS), sea traffic is expected to remain in mixed navigation scenarios where autonomous and conventional ships operate concurrently. General collision avoidance methods and autonomous algorithms resolve encounter situations…
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A PointPillars-based 3D point cloud object detector of USVs for small target detection in dynamic aquatic environments
LiDAR, a crucial sensor for Unmanned Surface Vehicles (USVs), allows for precise 3D modelling but encounters challenges in real-time target detection due to sparse point clouds. Current 3D point cloud detectors struggle to effectively capture fine-grained details and dynamic water surface features…
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Design of an adaptive PI speed controller for FOC-driven underwater thrusters
Underwater thrusters are the primary actuators in marine vehicles. The thruster drive and control methods for these thrusters considerably influence their dynamic response, accuracy, and efficiency. This study reviewed the structure of field-oriented control (FOC) and six-step commutation…
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Artikel Jurnal
A data-driven framework for attainable ship speed uncertainty under stochastic weather conditions
This paper presents a data-driven framework for quantifying attainable ship speed uncertainty considering weather forecast uncertainty. The methodology integrates two parallel workflows: weather forecast processing and ship performance simulation. Weather forecast data from NOAA and GFS sources are…
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Numerical and experimental study of the seakeeping performance for a novel fish farming vessel considering nets
To improve the economic feasibility of offshore aquaculture, this study proposes a novel concept of fish farming vessel which is retrofitted by an old bulk carrier. Large open farming tanks has been created by replacing the side hull plates with rigid metal nets and retaining the transverse…
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Artikel Jurnal
Determination of the safety exclusion zone for battery-powered ship with consideration of fire accident
Battery-powered ships have been developed quickly owing to the international dual carbon strategy and net-zero initiatives. However, the safety of battery-powered ships has attracted much attention because of the high frequency of fire accidents, and maintaining a safety distance between a…
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Artikel Jurnal
Numerical investigation of the hydrodynamic characteristics and interactions of an unmanned surface vehicle chasing a mother ship during recovery
Unmanned surface vehicles (USVs) require efficient and reliable recovery at sea. However, the recovery process, involving USVs chasing a mother ship, is complex and risky due to wave-making and wake effects that impact USV stability and resistance. It is necessary to study the interaction between…
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Performance enhancement of Savonius hydrokinetic turbines: the role of twisted blade profiles
Savonius Hydrokinetic Turbines (SHTs) are widely recognized for their simplicity, cost-effectiveness, and adaptability to slow flow conditions. However, conventional SHT designs face limitations, including low efficiency and significant torque fluctuations. The adoption of twisted/helical blade…
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Improving anchorage occupancy forecasting with stacked ensemble learning
Anchorage areas are essential for safe and efficient maritime operations. However, conventional forecasting models often underperform in dynamic port conditions, as they rely heavily on historical averages and static assumptions. To address these limitations, this study proposes a forecasting…
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Hydrodynamic interactions in midwater trawl nets: combined effects of flow velocity and door spreading through numerical and experimental approaches
Owing to escalating fuel costs and dwindling fish stocks, optimising midwater trawl efficiency requires a thorough investigation of net design variables. To understand the morphological changes in a trawl net under different operating conditions, a numerical model of the trawl was established using…
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Artikel Jurnal
Marine engine cylinder exhaust temperature prediction based on PSO-optimized CNN-LSTM-attention network
Marine diesel engines play a critical role in ensuring vessel safety and stable operation. Among their operating parameters, cylinder exhaust gas temperature is a key indicator of an engine’s thermal performance and overall health. Accurate forecasting of this parameter is therefore essential for…
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Risk assessment to improve reliability in towing system of tugboats using fuzzy based FMEA
The towing system is one of the most crucial parts of a tug boat. The towing process in tugboats, where a lot of machines and ship equipment are involved in the process, carries many risks and potential failures. Therefore, this operation can cause serious injuries, fatal accidents, equipment…
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Artikel Jurnal
Structural Strength Evaluation of a Planing Hull Based on a One-way Coupled CFD-FEA
This study employs a one-way coupling method based on CFD and FEA to evaluate and compare the structural strength of a planing hull under calm water and wave navigation conditions. A high-speed planing hull is selected as the research object. The wave loads under different navigation states are…
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Artikel Jurnal
Numerical study of scale effects of viscous roll damping for a container ship
In this paper, the scale effects on a container ship’s roll motion are investigated by numerical approach. The accuracy of the numerical method is verified by comparing numerical results with experimental data through a grid sensitivity study. The roll decay tests of the vessel at full-scale and…
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Artikel Jurnal
Explainable machine learning-based prediction of fuel consumption in ship main engines using operational data
A significant percentage of fuel consumption and emissions from transportation activities is related to maritime transportation. Hence, accurate prediction models for fuel consumption are quite important. Machine learning offers a data-driven approach to improving fuel consumption prediction…