International Journal of Ocean Systems Management (5 papers in press)

Regular Issues

• A detailed review of recent advancements in autonomous robots for marine energy pipeline inspection  
  by Md Alauddin Himel 
  Abstract: Strategic energy pipelines must supply global energy demand. Poor circumstances might leak, damage, or collision marine cables. Renewables, gas, and oil are dangerous. Diver, ROV, and hand monitor pipeline inspections are costly, inefficient, and error-prone. Recently developed self-driving robots assess and repair undersea pipelines. This novel concept boosts safety, output, and cost. This study evaluates modern maritime energy pipeline inspection self-driving robots. This research extends beyond robotics, encompassing sonar, ultrasound, optical imaging, and AI integration. The focus is on autonomous robots for rapid pipeline damage detection and autonomous underwater robots for addressing unstructured challenges. Powerful AI and machine learning algorithms allow these robots to react to strong currents in real-time. Robots can foresee substantial wear. The study shows hybrid robotic systems and multi-word swarm technologies can constantly and massively examine pipelines and networks. These devices give time, motion, and cooperation data for faster, more precise travel. Human-free remote robot inspections are researched.
  Keywords: autonomous robot; marine pipeline inspection; artificial intelligence; sensor technology; hybrid robotic systems.
  DOI: 10.1504/IJOSM.2025.10070207
   
  
• A method for extracting bearing degradation data of ship propulsion systems based on cumulative features  
  by Hui Ma, Chunlong Ma, Wenjun Xia 
  Abstract: This article proposes a method for extracting degradation data of rotating components in ship transmission systems based on accumulated features, aiming to address the challenges faced by traditional methods in extracting early degradation features and improve the accuracy and reliability of prediction models. By combining multi-resolution signal decomposition techniques and accumulative feature processing, the proposed method refines the classical features and inverse trigonometric function features, extracting monotonic degradation signal features. At the same time, the EM smoothing method is used to smooth the feature signals, further improving the availability and accuracy of the data. The experimental results show that this method can significantly improve the accuracy of life prediction for rotating components, providing strong support for the maintenance and optimisation of marine transmission systems. The effectiveness of accumulating feature processing in enhancing data prediction capabilities was verified through monotonicity, correlation, and trend evaluation indexes.
  Keywords: degradation data; bearing; cumulative features; ship propulsion systems; expectation maximisation.
  DOI: 10.1504/IJOSM.2025.10070760
   
  
• Design and Experimental Study on Wind-Induced Vibration Resistance of High-Performance Grid-Type Expansion Joints based on ECC  
  by Handong Shu 
  Abstract: Conventional expansion joints rubber inserts between steel sections suffer stress concentration, fatigue cracking and anchorage failure under strong wind-induced vibration, particularly in typhoon-prone straits. This study proposes a grid-type expansion joint constructed from high-ductility engineered cementitious composites (ECC) to realise material-structure synergy and enhance wind-vibration resistance, durability and user comfort. A 3D unsteady wind-field simulation of a Tsing Ma Bridge section, driven by monitoring data and CFD, identified vortex-shedding frequencies and amplitudes. An orthogonal ECC grid with spatially staggered ribs was designed to disperse concentrated and alternating stresses and to exploit ECCs strain-hardening, multi-crack behaviour. Finite-element comparison at 50 m/s optimised grid spacing to 250 mm. Tests showed crack widths 0.06 mm and a displacement capacity of 971 mm; simulations reduced equivalent stress from 38.7 to 25.8 MPa and improved stress-uniformity to 1.5. The ECC grid markedly limits lateral and vertical motion and mitigates fatigue and dynamic impact. Future work will integrate real-time wind forecasting and CNN-based monitoring.
  Keywords: Engineered Cementitious Composites (ECC); Structural Optimization; Seamless Bridge; CFD.
  DOI: 10.1504/IJOSM.2025.10074103
   
  
• Failure Assessment and Fatigue Life Prediction of Subsea Metro Car Body under Variable Amplitude Loading  
  by Yongqiang Liu, Mengliang Li, Yuyao Ren, Xiao Wu 
  Abstract: The British standard BS 7910:2019 offers guidelines for evaluating flaw acceptability in metallic structures, though it is primarily tailored for steel. This study expands its applicability to aluminum alloy structures, validating the reliability and accuracy of the modified BS 7910-based approach through comparisons with extended finite element method (XFEM) results. Focusing on the Shenzhen Subsea Metro Line 12 aluminum alloy car body with welding defects, we conduct failure assessment and fatigue life analysis. Operational load data are processed to generate a program load spectrum, while nondestructive testing characterizes welding flaws as semi-elliptical surface cracks. The relationships among stress intensity factor ranges, crack growth rates, and crack depth under varying stress ranges are quantitatively examined. These findings provide critical insights for integrity assessment and maintenance of aluminum alloy structures containing weld defects.
  Keywords: Failure assessment; Fatigue life; Subsea metro car body; Load spectrum; BS 7910; XFEM.
  DOI: 10.1504/IJOSM.2025.10074162
   
  
• Digital Twin Application in the Offshore Wind Power : a Literature Review  
  by Xian Jun Zheng, Xiaoyan Su 
  Abstract: Under the background of global dual carbon goal, offshore wind power, as an important renewable energy, has attracted much attention. However, offshore wind energy projects face a wide range of obstacles such as safety, operation and maintenance throughout the progression of scale expansion. Digital twin technology provides a fresh solution to advance offshore wind energy. The paper conducts an in-depth analysis of digital twin utilisation in offshore wind energy, covering wind turbine health monitoring and fault detection, wind farm siting and layout optimisation, offshore construction process simulation and risk management, energy efficiency optimisation and operation management of offshore wind farm, etc. In each application scenario, digital twinning technology significantly enhances safety performance, efficiency and economy of each link of offshore wind power by means of constructing virtual model, integrating multi-source data and simulation analysis. However, this technology has faced challenges in model construction, data processing, computing resources and data security in practical application. Nevertheless, with technological progress, digital twins are poised to take on added significance in the offshore wind sector, pushing the offshore wind energy sector to a new stage of high-quality.
  Keywords: Digital twin; Offshore wind power; Challenges and prospects; Literature review.
  DOI: 10.1504/IJOSM.2025.10074170