Ocean EngineeringPub Date : 2026-04-30Epub Date: 2026-02-21DOI: 10.1016/j.oceaneng.2026.124759
Yangyang Zhai, Xuefeng Yang, Shengli Chen
{"title":"A CFD-informed machine learning framework for generalized ship resistance prediction under wind and wave conditions","authors":"Yangyang Zhai, Xuefeng Yang, Shengli Chen","doi":"10.1016/j.oceaneng.2026.124759","DOIUrl":"10.1016/j.oceaneng.2026.124759","url":null,"abstract":"<div><div>Accurate prediction of ship fuel consumption is critical for optimizing operations and reducing emissions, yet remains challenging for most of vessels lacking high-precision sensor data. To address this, we propose a novel hybrid framework that integrates computational fluid dynamics (CFD) and machine learning to achieve predictions without relying on extensive sensor measurements. Our approach begins with fusing multi-source data (AIS, meteorological, and voyage reports) to reconstruct hourly operational profiles. A clustering-based technique is then employed to identify a limited set of representative typical operating conditions from the overall conditions. High-fidelity CFD is used to compute ship resistance at these selected typical conditions (7-60 types), generating a high-quality dataset. Finally, a suite of machine learning models (including MPR, RR, LASSO, RF, XGBoost, and ANN) are trained and evaluated on this dataset to generalize resistance predictions across the entire operational conditions. In a case study of a 3600 TEU containership, our framework achieves a mean absolute error of below 0.86 in resistance prediction, demonstrating comparable accuracy to sensor-based models. This work provides an effective, scalable, and accurate alternative for ship fuel consumption prediction, with significant potential for global application.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"353 ","pages":"Article 124759"},"PeriodicalIF":5.5,"publicationDate":"2026-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147386353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ocean EngineeringPub Date : 2026-04-30Epub Date: 2026-02-23DOI: 10.1016/j.oceaneng.2026.124783
Wenjie Ma , Jiayi Gao , Xu Wang , Bolin Wang , Eng-Choon Leong , Changdan Wang , Yalong Zhou
{"title":"An analytical framework for torsional dynamic response of floating piles in viscoelastic unsaturated transversely isotropic soils","authors":"Wenjie Ma , Jiayi Gao , Xu Wang , Bolin Wang , Eng-Choon Leong , Changdan Wang , Yalong Zhou","doi":"10.1016/j.oceaneng.2026.124783","DOIUrl":"10.1016/j.oceaneng.2026.124783","url":null,"abstract":"<div><div>This study develops an analytical framework to assess the torsional response of floating piles by considering the fractional viscoelasticity and transverse isotropy of unsaturated soils, addressing the critical yet overlooked influence of the finite-thic kness soil layer between the pile tip and bedrock. By introducing a fictitious unsaturated soil pile (FUSP) methodology, the pile is virtually extended to bedrock, with the FUSP inheriting the fractional-order viscoelastic properties of the surrounding soil. The governing equations integrate three-phase interactions, transverse isotropy, and fractional calculus-based viscoelasticity, enabling unified modeling of both floating and end-bearing piles. The derivation process involves the techniques of separation of variables and eigenfunction expansion, leading to closed-form solutions for the frequency-domain torsional impedance, while semi-analytical time-domain responses under semi-sine pulse excitation are obtained via inverse Fourier transformation and convolution theory. Parametric analyses demonstrate the sensitivity of pile head impedance and twist angle to FUSP and pile length, saturation, transverse isotropy ratios, fractional derivative order, and viscoelastic relaxation times.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"353 ","pages":"Article 124783"},"PeriodicalIF":5.5,"publicationDate":"2026-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147387116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ocean EngineeringPub Date : 2026-04-30Epub Date: 2026-02-18DOI: 10.1016/j.oceaneng.2026.124612
Guoqing Zhang , Peng Liu , Zhihao Li , Jiqiang Li , Chen-Liang Zhang
{"title":"Adaptive neural optimal path following control for rotor-assisted vehicles via an improved event-triggered mechanism","authors":"Guoqing Zhang , Peng Liu , Zhihao Li , Jiqiang Li , Chen-Liang Zhang","doi":"10.1016/j.oceaneng.2026.124612","DOIUrl":"10.1016/j.oceaneng.2026.124612","url":null,"abstract":"<div><div>This paper proposes an adaptive neural optimal control scheme for the path following of rotor-assisted vehicles (RAVs) in the presence of external disturbances, integrated with an improved event-triggered mechanism. Without requiring the precise knowledge of the system dynamics, a critic-only adaptive dynamic programming (ADP) framework combined with the robust neural damping technique is developed, which significantly reduces the overall algorithm complexity and enhances the robustness of the system. To mitigate the issues of frequent signal updates and excessive actuator wear inherent in conventional control algorithms, a dynamic integral-event-triggered (DIET) mechanism is proposed, which automatically adjusts the triggering thresholds based on the output states. Meanwhile, owing to its integral-type structure, invalid triggering behaviors induced by the transient disturbances can be effectively eliminated. Furthermore, the semi-global uniform ultimate boundedness (SGUUB) of all signals in the closed-loop system is rigorously demonstrated via the Lyapunov theory. Finally, the effectiveness and feasibility of the proposed algorithm are validated through two numerical simulations.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"353 ","pages":"Article 124612"},"PeriodicalIF":5.5,"publicationDate":"2026-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147386709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ocean EngineeringPub Date : 2026-04-30Epub Date: 2026-02-20DOI: 10.1016/j.oceaneng.2026.124739
Jiarong Liu , Zheying Chi , Guolin Li , Mingyang Li , Yongsheng Zhao
{"title":"Efficient Data-Driven Model Predictive Control for Unmanned Surface Vehicles Under Model Uncertainties via Recursive Updates of a Sparse Variational Gaussian Process","authors":"Jiarong Liu , Zheying Chi , Guolin Li , Mingyang Li , Yongsheng Zhao","doi":"10.1016/j.oceaneng.2026.124739","DOIUrl":"10.1016/j.oceaneng.2026.124739","url":null,"abstract":"<div><div>Despite the popularity of Nonlinear Model Predictive Control (NMPC) in USV trajectory control, a well-recognized limitation is its high susceptibility to model mismatch. This work proposes an online data-driven NMPC framework that integrates a Sparse Gaussian Process (SGP) for real-time residual dynamics learning. The SGP model is first trained offline via Stochastic Variational Inference (SVI) with a discrete Poisson Point Process for automatic informative inducing point selection, and then continuously refined online with a recursive update scheme that incorporates new state observations. This dual-phase strategy empowers the NMPC controller with start-up accuracy and continual adaptation capability against model uncertainties. Extensive simulation and real-world experiments demonstrate that the method significantly improves tracking accuracy under model-mismatch conditions, while satisfying the computational efficiency required for real-time implementation on edge computing platforms. The results underscore the framework's strong potential for practical USV applications in dynamic marine environments.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"353 ","pages":"Article 124739"},"PeriodicalIF":5.5,"publicationDate":"2026-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147386760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ocean EngineeringPub Date : 2026-04-30Epub Date: 2026-02-19DOI: 10.1016/j.oceaneng.2026.124729
Xiaodong Wen , Qinghua Han , Mingjie Liu , Hao Wu , Xiang Yan
{"title":"Analysis of the impact of an underwater shaking table and its IWAC on surface waves","authors":"Xiaodong Wen , Qinghua Han , Mingjie Liu , Hao Wu , Xiang Yan","doi":"10.1016/j.oceaneng.2026.124729","DOIUrl":"10.1016/j.oceaneng.2026.124729","url":null,"abstract":"<div><div>Multi-disaster coupling simulation imposes higher requirements on experimental equipment, particularly for simulating interactions such as seismic-wave-current coupling. The underwater shaking table is primarily designed to replicate underwater vibration environments, and its motion inevitably influences the flow field within the experimental water tank. This paper focuses on the underwater shaking table and the IWAC it employs as research objects, investigating their influence on the free surface of water and the surface waves generated by the wave-making plate. The research findings indicate that the horizontal motion of the shaking table has a relatively minor impact on the surface waves, while the vertical motion has a more significant effect. Compared with the horizontal motion, the vertical motion has a greater influence on wave height. Under deeper water conditions, the horizontal motion has a smaller impact on surface wave height, whereas the vertical motion can increase the wave height by up to 25.00%. Under shallower water conditions, the horizontal motion may cause a wave height variation of up to 35.90%, while the vertical motion can lead to an increase in wave height of up to 79.49%. Additionally, within the pressure range selected for this study, the initial inflation pressure of the IWAC has a relatively minor influence. The research results provide a basis for the design and application of underwater shaking tables.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"353 ","pages":"Article 124729"},"PeriodicalIF":5.5,"publicationDate":"2026-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147386766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ocean EngineeringPub Date : 2026-04-30Epub Date: 2026-02-19DOI: 10.1016/j.oceaneng.2026.124734
Longxia Qian , Yingying Wang , Mei Hong , Shiqian Tang , Zicheng Pang
{"title":"A navigation risk assessment model for small-sample multimodal data with an improved Bayesian network","authors":"Longxia Qian , Yingying Wang , Mei Hong , Shiqian Tang , Zicheng Pang","doi":"10.1016/j.oceaneng.2026.124734","DOIUrl":"10.1016/j.oceaneng.2026.124734","url":null,"abstract":"<div><div>In marine environmental risk scenarios, traditional Bayesian network models face challenges in achieving precise risk assessments due to insufficient data availability and linguistic uncertainties. To address this challenge, a small-sample multimodal model with improved Bayesian network (SSM-IBN) is proposed for navigational risk assessment of ocean-going vessels. The framework incorporates two key innovations: (1) A multidimensional Bootstrap expansion technique is developed to capture statistical feature from high-dimensional small-sample datasets, addressing the poor performance of Bayesian networks under limited data conditions. (2) Hesitant fuzzy agglomerative hierarchical clustering algorithm is proposed to handle subjective data uncertainties that conventional Bayesian approaches cannot adequately process. Furthermore, systematic validation is conducted through simulation experiments utilizing four distinct training sample sets, followed by the practical application of the model to risk analysis in North Pacific Ocean shipping. Experimental results show that, compared with traditional Bayesian networks, the SSM-IBN achieves an 18.2%–58.1% reduction in RMSE and a 0.294–1.0185 increase in R<sup>2</sup> when the expansion multiplier k = 9. Practical implementation in maritime risk assessment further confirms the model's advantages in small-sample scenarios through comprehensive visual analytics.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"353 ","pages":"Article 124734"},"PeriodicalIF":5.5,"publicationDate":"2026-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147386767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ocean EngineeringPub Date : 2026-04-30Epub Date: 2026-02-20DOI: 10.1016/j.oceaneng.2026.124731
Chongxi Xu , Zhuo Wang , Hu Zhou , Cheng Zheng , Xiangshao Kong , Weiguo Wu
{"title":"Finite similitude theory-based similarity design of structures subjected to various types of impact loads through nonlinear mapping of material properties","authors":"Chongxi Xu , Zhuo Wang , Hu Zhou , Cheng Zheng , Xiangshao Kong , Weiguo Wu","doi":"10.1016/j.oceaneng.2026.124731","DOIUrl":"10.1016/j.oceaneng.2026.124731","url":null,"abstract":"<div><div>Full-scale testing remains most effective to investigate deck dynamic buckling, yet scaled-model testing is widely adopted by researchers due to economic and spatial constraints. The key challenge is developing reliable scaled design to predict Full-scale prototypes’ dynamic responses. In the current study, a universal similarity method for different structural forms, impact loading types and material constitutive equations was proposed according to the finite similitude theory. By scaling physical systems through mapping of Full-scale and scaled-down spaces, the scopes of application of the proposed similarity method were expanded to various structure forms, loading types and material constitutive relations, and thus facilitating the similarity design and prediction of structural responses under dynamic load. To verify the proposed method, systematic numerical validation analyses were conducted, including all the cases of stiffened plates under impact mass loads, the cases of stiffened plates under simplified sinusoidal triangular loads, and the cases of box girder models under simplified sinusoidal triangular loads. The validation results indicated that the proposed similarity approach had acceptable effects in keeping the same dynamic structural responses between prototype and scaled-down models. This study could be regarded as the supplement to the existing similarity research of dynamic responses of ship and ship-like structures.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"353 ","pages":"Article 124731"},"PeriodicalIF":5.5,"publicationDate":"2026-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147387245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ocean EngineeringPub Date : 2026-04-30Epub Date: 2026-02-20DOI: 10.1016/j.oceaneng.2026.124681
Hao Wang , Zhitong Lv , Shitang Ke , Tongguang Wang , Ahsan Kareem
{"title":"The impact of low-level jets in the atmospheric boundary layer on the operation of large-scale floating offshore wind turbines","authors":"Hao Wang , Zhitong Lv , Shitang Ke , Tongguang Wang , Ahsan Kareem","doi":"10.1016/j.oceaneng.2026.124681","DOIUrl":"10.1016/j.oceaneng.2026.124681","url":null,"abstract":"<div><div>Low-level jets (LLJs) commonly occur in the marine offshore atmospheric boundary layer. They are characterized by irregular wind shear, which can significantly affect the performance and safety of floating wind turbines. This paper presents a comprehensive analysis framework to evaluate the effect of LLJs on the dynamic loads and structural response of large-scale floating offshore wind turbines (OWTs) during operation. In the proposed framework, LLJ-induced irregular vertical profiles of wind speed, direction, and turbulence are modeled using polynomial functions and smoothed spectra calibrated with measurement data. The floating OWT is simulated using an Aero-Hydro-Servo-Structural (AHSS) coupled model, based on the beam theory. The wind speed time histories simulated with the LLJ characteristics are utilized to excite the OWT model, enabling detailed load and response analysis. Using two benchmark turbines [a 15 MW OWT (15OWT) and a 22 MW OWT (22OWT)], this study investigates how key LLJ parameters such as jet height, jet intensity, and wind veer angles influence structural response. Results reveal that LLJs can cause a significant increase in dynamic response, even under the same hub-height wind speeds, raising the risk of blade-tower collision. Moreover, the effect of LLJs becomes more pronounced with increasing turbine size. The response analysis results are utilized to develop a rapid evaluation method for LLJ-induced effects, providing a basis for designing mitigation strategies to reduce operational risks in floating OWTs.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"353 ","pages":"Article 124681"},"PeriodicalIF":5.5,"publicationDate":"2026-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147387261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ocean EngineeringPub Date : 2026-04-30Epub Date: 2026-02-20DOI: 10.1016/j.oceaneng.2026.124648
Xiaozhou Ma , Binhong Wang , Zhenjun Zheng , Guohai Dong , Zaiyang Zhou
{"title":"Modeling ship movements under automatic mooring system with consideration of harbor oscillations","authors":"Xiaozhou Ma , Binhong Wang , Zhenjun Zheng , Guohai Dong , Zaiyang Zhou","doi":"10.1016/j.oceaneng.2026.124648","DOIUrl":"10.1016/j.oceaneng.2026.124648","url":null,"abstract":"<div><div>As vessel sizes increase, conventional mooring systems struggle to provide the stability and safety required for modern loading operations. Automatic mooring systems offer a viable alternative and have been successfully implemented in ports worldwide. However, current research lacks sufficient understanding of their operational performance under different sea conditions, particularly under severe scenarios such as long-period waves and harbor oscillations. This study presents a numerical model for an automatic mooring system based on a Proportional-Derivative (PD) controller. The research examines the vessel's response under various control settings and assesses the system's efficacy during harbor oscillations.</div><div>The numerical results demonstrate that the proportional and derivative parameters play a crucial role in the response amplitude and resonant frequency of the moored vessel: an increased proportional parameter results in a higher resonant frequency but at the expense of a larger motion amplitude, whereas the derivative parameter exhibits the converse effect. Furthermore, compared with the traditional mooring system, the automatic mooring system based on a PD controller can effectively suppress the vessel's horizontal motion under harbor oscillation conditions, which is significant for enhancing the safety and operational efficiency of ports in extreme sea states.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"353 ","pages":"Article 124648"},"PeriodicalIF":5.5,"publicationDate":"2026-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147387262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ocean EngineeringPub Date : 2026-04-30Epub Date: 2026-02-18DOI: 10.1016/j.oceaneng.2026.124693
Hao Jia , Xiao-peng Sun , Ya-peng Wang , Feng Li
{"title":"Numerical investigation of dual-jet interaction and particle motion in hydraulic mining of polymetallic nodules","authors":"Hao Jia , Xiao-peng Sun , Ya-peng Wang , Feng Li","doi":"10.1016/j.oceaneng.2026.124693","DOIUrl":"10.1016/j.oceaneng.2026.124693","url":null,"abstract":"<div><div>Dual-jet collectors are an emerging hydraulic harvesting concept for deep-ocean polymetallic nodules, designed to sustain high collection efficiency by generating a complex fountain flow through the convergence of obliquely impinging jets. In this study, a CFD-DEM framework with a Reynolds stress model (RSM) turbulence closure is employed to resolve anisotropic turbulence and particle dynamics within a dual-jet collector. The fountain flow preserves a substantial proportion of the initial jet kinetic energy, with dissipation mainly caused by entrainment within lateral vortices. Compared with single-jet operation, multi-nozzle parallel jets exhibit pronounced jet–jet interaction, characterized by inter-jet low-momentum zones and depressed pressure coefficients. Correspondingly, the streamwise mean velocity and turbulence intensity show that interference reorganizes the radial velocity structure throughout the development region, leading to asymmetric profiles with staggered peaks that depart from the canonical decay of an isolated jet. The resulting anisotropic turbulence produces sufficient upward drag to suspend particles across the collector width, after which particles experience lift and lateral migration driven by pressure fluctuations. These findings quantify the radial/axial jet-flow behavior, establish links between flow patterns and particle forces, and may provide mechanistic guidance for improving dual-jet collector performance.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"353 ","pages":"Article 124693"},"PeriodicalIF":5.5,"publicationDate":"2026-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147386427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}