Ocean EngineeringPub Date : 2025-09-08DOI: 10.1016/j.oceaneng.2025.122750
Zhenya Li , Ningning Jin , Cun Zhang , Zhiqing Zhang , Wenbing Wu
{"title":"Vertical vibration of pipe piles in construction-induced inhomogeneous saturated soil","authors":"Zhenya Li , Ningning Jin , Cun Zhang , Zhiqing Zhang , Wenbing Wu","doi":"10.1016/j.oceaneng.2025.122750","DOIUrl":"10.1016/j.oceaneng.2025.122750","url":null,"abstract":"<div><div>This study presents an analytical investigation of the vertical vibration behavior of pipe piles embedded in saturated soil affected by construction disturbance. A novel multi-zone modeling approach is developed, where both the outer and inner soils are discretized into concentric annular regions with radially varying properties to accurately represent construction-induced soil inhomogeneity. The theoretical framework combines Biot's dynamic consolidation theory for three-dimensional axisymmetric soil behavior with one-dimensional wave theory for pile dynamics. Governing equations are systematically derived for each soil zone and coupled with the pipe pile equation through rigorous boundary conditions. The analytical solution developed for this soil-pile interaction problem enables comprehensive parametric studies on the effects of pile-soil parameters and various construction disturbance patterns on pile vertical vibration. The conclusions provide new insights into the complex dynamic response of pipe piles in disturbance-affected saturated soils, offering theoretical support for vibration analysis and pile design in such conditions.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"341 ","pages":"Article 122750"},"PeriodicalIF":5.5,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145019724","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 : 2025-09-08DOI: 10.1016/j.oceaneng.2025.122765
Fengmei Jing , Yunlei Mei , Xinru Wang , Qiang Lu
{"title":"The effects of surge-yaw coupling on the hydrodynamics and wake of a floating tidal turbine","authors":"Fengmei Jing , Yunlei Mei , Xinru Wang , Qiang Lu","doi":"10.1016/j.oceaneng.2025.122765","DOIUrl":"10.1016/j.oceaneng.2025.122765","url":null,"abstract":"<div><div>Floating horizontal-axis tidal turbines (FHATTs) operate in complex marine environments. Under the coupled action of waves and currents, floating platform undergoes six-degree-of-freedom motion, which impacts the performance of the tidal turbine. This study employs computational fluid dynamic (CFD) method to explore the influence of surge and yaw motion parameters on the hydrodynamic characteristics of FHATTs under free-surface conditions. The mean performance and transient hydrodynamics calculated using the CFD model were verified via flume experiments. The results indicate that surge and yaw motions exacerbate instability during FHATTs operation. Hydrodynamic fluctuations are mainly induced by surge motion, with the fluctuation frequency being consistent with the surge frequency. The frequency of hydrodynamic fluctuations caused by yaw motion is twice the yaw frequency. The yaw effect caused by yaw motion induces small-amplitude fluctuations on the blades based on the blade frequency. Such complex and drastic load fluctuations increase the difficulty of power control and are prone to cause blade fatigue damage. Surge motion contributes to an increase in mean output power, whereas yaw motion has a negative impact on the output power but can reduce the load on the turbine. Wake analysis reveals that surge motion causes the wake to lose continuity, whereas yaw motion leads to wake oscillation. Coupled motion is conducive to promoting wake diffusion and recovery.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"341 ","pages":"Article 122765"},"PeriodicalIF":5.5,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145009847","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 : 2025-09-07DOI: 10.1016/j.oceaneng.2025.122657
Zhihui Li , Shuyang Xie , Jun Ning , Xin Hu , Kai Wang
{"title":"Event-triggered adaptive heading control for unmanned surface vehicles with input quantification and disturbance observer","authors":"Zhihui Li , Shuyang Xie , Jun Ning , Xin Hu , Kai Wang","doi":"10.1016/j.oceaneng.2025.122657","DOIUrl":"10.1016/j.oceaneng.2025.122657","url":null,"abstract":"<div><div>This paper presents a new approach enhancing communication resource efficiency for the unmanned surface vessel heading control systems. Considering the limited network resources during information transmission, a novel event-triggered condition is derived to reduce the communication frequency when the norm of control input is less than one. Furthermore, to address the effects of slow time-varying external disturbances, a disturbance observer is employed for real-time estimation. In the framework of a networked control, control input is quantized by a linear analytical model. Thereafter, the quantized feedback controller avoids the reliance on prior knowledge of the quantization parameters. Thereby, a sliding mode control strategy is merged with the new event-triggered approach to achieve a quantized feedback control. Using Lyapunov stability theory, the closed loop stability is rigorously proven, ensuring bounded observation and heading tracking errors. A series of numerical simulations further validate the effectiveness of the proposed heading control scheme.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"341 ","pages":"Article 122657"},"PeriodicalIF":5.5,"publicationDate":"2025-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145009845","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 : 2025-09-07DOI: 10.1016/j.oceaneng.2025.122539
Giorgio Palma , Andrea Serani , Shawn Aram , David W. Wundrow , David Drazen , Matteo Diez
{"title":"Model-free system identification of surface ships in waves via Hankel dynamic mode decomposition with control","authors":"Giorgio Palma , Andrea Serani , Shawn Aram , David W. Wundrow , David Drazen , Matteo Diez","doi":"10.1016/j.oceaneng.2025.122539","DOIUrl":"10.1016/j.oceaneng.2025.122539","url":null,"abstract":"<div><div>This work introduces and evaluates Hankel Dynamic Mode Decomposition with control (Hankel-DMDc) and its Bayesian extension as model-free, data-driven approaches for system identification and prediction of surface-ship motions in waves. Using limited input-output data from free-running simulations of the 5415M hull in sea state 7 beam-quartering seas at Froude number 0.33, reduced-order models (ROMs) are built by treating rudder angle and wave elevation as control inputs, and augmenting the system with time-delayed states and inputs. A systematic design-of-experiments explores 294 hyperparameter combinations, statistically validating over 300 model runs to identify robust configurations. Over a 15-wave prediction window, deterministic Hankel-DMDc achieves average NRMSE below 8 %, amplitude error below 0.9 %, and Jensen-Shannon divergence (JSD) below 5 %. The Bayesian extension treats hyperparameters as uniformly distributed random variables and propagates uncertainty via Monte Carlo sampling, improving performance to NRMSE below 7 %, amplitude error below 0.8 %, and JSD below 4 %, while also providing confidence intervals. Predictions remain stable with no degradation over time, and predicted distributions closely match high-fidelity data (average JSD <span><math><mo><</mo></math></span>1 %). The proposed ROMs require under 1 s to train and 0.04 s per 15-wave prediction, demonstrating suitability for real-time digital twins and onboard decision support in nonlinear seakeeping conditions.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"341 ","pages":"Article 122539"},"PeriodicalIF":5.5,"publicationDate":"2025-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145009873","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 : 2025-09-06DOI: 10.1016/j.oceaneng.2025.122721
Tianqi Wang , Chen An , Cheng Yee Ng , Yangcheng Zhang , Yixuan Mao
{"title":"Surrogate-based design optimization of a floating grid air storage system for ocean compressed air energy storage","authors":"Tianqi Wang , Chen An , Cheng Yee Ng , Yangcheng Zhang , Yixuan Mao","doi":"10.1016/j.oceaneng.2025.122721","DOIUrl":"10.1016/j.oceaneng.2025.122721","url":null,"abstract":"<div><div>Volatility in wind energy generation creates challenges for stable and reliable offshore power supply. Ocean Compressed Air Energy Storage (OCAES) offers a cost-effective and emission-free solution by storing excess energy as compressed air. However, current OCAES systems are limited by bulky, seabed-dependent storage designs and lack manufacturing scalability. This study proposes a novel floating grid air storage structure (ASS) based on flexible hose technology, suitable for integration with floating wind platforms. A parametric modelling framework using OrcaFlex is developed to simulate hydrodynamic responses under wave loading. A total of 1,200 simulations are conducted by sampling four design variables: hose type, single hose length, aspect ratio, and mooring angle. Maximum effective tension, bending moment, and curvature are extracted and used to train a Gaussian Process Regression (GPR) surrogate model, with hyperparameters optimized via Bayesian Hyperparameter Optimization (BHPO). Multi-Objective Particle Swarm Optimization (MOPSO) is then applied to identify Pareto-optimal configurations. Results show that optimized designs reduce effective tension and bending moment by 24.85 % and 23.56 %, respectively. Statistical analysis identifies key influencing variables, and an economic evaluation estimates the levelized cost of storage (LCOS) can be reduced to 345 USD/MWh, demonstrating the viability of the floating grid ASS as a scalable offshore energy storage solution.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"341 ","pages":"Article 122721"},"PeriodicalIF":5.5,"publicationDate":"2025-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145003925","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}
{"title":"Experimental and numerical study on the ultimate strength of the CFRP hat-stiffened plate under the longitudinal compression","authors":"Hongyang Ma, Aijing Han, Hongyu Zhou, Lingge Zhang, Hui Li, Guoqing Feng, Shili Sun","doi":"10.1016/j.oceaneng.2025.122642","DOIUrl":"10.1016/j.oceaneng.2025.122642","url":null,"abstract":"<div><div>Composite materials play a crucial role in making ships lighter due to their superior mechanical properties, including higher strength-to-weight ratios and enhanced corrosion resistance compared to traditional steel. Current specifications for fiber-reinforced composite materials primarily emphasize buckling strength, with limited consideration given to ultimate strength. However, a notable discrepancy exists between the ultimate strength and the buckling strength of the Carbon Fiber Reinforced Polymer (CFRP) hat-stiffened plate. Therefore, it is essential to investigate the post-buckling behavior of the CFRP hat-stiffened plate and elucidate its collapse mechanisms. This study investigates the ultimate load-carrying capacity and progressive collapse behavior of two kinds of CFRP hat-stiffened plates through a combined non-linear finite element (FE) and experimental analysis. The influence of different composite material damage evaluation methods on the progressive behavior was discussed, including methods related to stiffness reduction and fracture toughness. Besides, the influence of the initial geometrical deflection obtained by the 3D laser scan and buckling modes on the ultimate strength was compared. Additionally, the influence of the lay-up contact simulation method on the ultimate strength was investigated, including the co-cured and adhesive methods. Finally, by comparing the numerical simulation results with the experimental results, the collapse mechanism of the hat-stiffened plate was comprehensively revealed. The obtained conclusions can provide valuable insights into achieving consistent progressive collapse behavior in numerical simulations that align with experimental results.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"341 ","pages":"Article 122642"},"PeriodicalIF":5.5,"publicationDate":"2025-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145003927","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 : 2025-09-06DOI: 10.1016/j.oceaneng.2025.122605
Jiyuan Men , Yao Luo , Tianhe Li , Yinuo Zhou , Yuming Yuan , Kaiqiang Weng
{"title":"A continuous wavelet transform based method for aerodynamic damping identification and aeroelastic stability investigation of floating wind turbines","authors":"Jiyuan Men , Yao Luo , Tianhe Li , Yinuo Zhou , Yuming Yuan , Kaiqiang Weng","doi":"10.1016/j.oceaneng.2025.122605","DOIUrl":"10.1016/j.oceaneng.2025.122605","url":null,"abstract":"<div><div>This paper presents a dynamic identification method for aerodynamic damping, leveraging continuous wavelet transform to analyze the load of a floating wind turbine calculated by OpenFast, in order to tackle the intricate mechanism of aeroelastic instability in floating wind turbines. This instability arises from the substantial nonlinear increase in loads during extreme environmental conditions. The proposed method systematically uncovers the time-varying pattern of the aerodynamic damping matrix for floating wind turbine blades under regular loads. Findings indicate that, under extreme wind and wave loads, as the wind speed increases, the primary edge and flap damping coefficient evolves rapidly from weak negative damping to strong negative damping. This transformation emerges as the pivotal driving force behind aeroelastic instability. In contrast, the non-diagonal damping coefficient exhibits pronounced positive damping characteristics, underscoring the complexity of multi degree of freedom coupled excitation. The heave and pitch motions significantly influence the edgewise damping, while the heave damping demonstrates wind speed sensitivity opposite to that of the edgewise damping and conduct a comprehensive systematic analysis and evaluation of these interactive effects. The developed model showcases remarkable robustness. Even in extreme divergence scenarios, it maintains a prediction accuracy within 10 %, validating its reliability for practical applications.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"341 ","pages":"Article 122605"},"PeriodicalIF":5.5,"publicationDate":"2025-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145003938","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 : 2025-09-05DOI: 10.1016/j.oceaneng.2025.122660
Katavut Vichai , Jim Shiau , Duy Tan Tran , Mohammad Khajehzadeh , Suraparb Keawsawasvong , Pitthaya Jamsawang
{"title":"Predicting failure envelopes of helical anchors under combined V-H-M loading using a regression-enhanced knowledge graph attention network","authors":"Katavut Vichai , Jim Shiau , Duy Tan Tran , Mohammad Khajehzadeh , Suraparb Keawsawasvong , Pitthaya Jamsawang","doi":"10.1016/j.oceaneng.2025.122660","DOIUrl":"10.1016/j.oceaneng.2025.122660","url":null,"abstract":"<div><div>This study presents a regression-adapted Knowledge Graph Attention Network (KGAT) integrated with Water Cycle-Moth Flame Optimization (WCMFO) to predict the three-dimensional failure envelopes of helical anchors embedded in anisotropic clay under combined vertical-horizontal-moment (V-H-M) loading. A comprehensive dataset of dimensionless load responses, i.e., normalized vertical, horizontal, and moment capacities (<em>V/As</em><sub><em>u</em></sub>, <em>H/Asᵤ</em>, <em>M/ADsᵤ</em>) is generated using Finite Element Limit Analysis (FELA). Key input parameters include the helix diameter ratio (<em>D</em><sub><em>h</em></sub><em>/D</em><sub><em>s</em></sub>), embedment ratio (<em>L/D</em><sub><em>s</em></sub>), strength anisotropy ratio (<em>r</em><sub><em>e</em></sub>), and load inclination angle (<em>β</em>), all of which influence the failure envelope topology. A hybrid KGAT-WCMFO model is developed to evaluate the FELA results, achieving high predictive accuracy with R<sup>2</sup> values exceeding 0.97 for both <em>H/Asᵤ</em> and <em>M/ADsᵤ</em>. The predicted failure envelopes closely match those from FELA and effectively capture the nonlinear interactions among soil strength, anchor geometry, and load direction. These results highlight the model's potential as a robust surrogate tool for rapid and accurate geotechnical assessments under complex loading conditions.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"341 ","pages":"Article 122660"},"PeriodicalIF":5.5,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144996641","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 : 2025-09-05DOI: 10.1016/j.oceaneng.2025.122646
Xiaojun Mei , Huafeng Wu , Fahui Miao , Dezhi Han
{"title":"Quantum-inspired optimal sensor deployment for 3D localization under uncertain target in stratified oceanic environment","authors":"Xiaojun Mei , Huafeng Wu , Fahui Miao , Dezhi Han","doi":"10.1016/j.oceaneng.2025.122646","DOIUrl":"10.1016/j.oceaneng.2025.122646","url":null,"abstract":"<div><div>Localization is a critical task in ocean exploration and resource development, wherein an effective sensor deployment strategy significantly enhances localization accuracy. However, achieving optimal sensor deployment for time-of-arrival (TOA)-based localization is challenging due to the highly dynamic and stratified nature of the oceanic propagation environment. The uncertainty in target positions, compounded by measurement noise, hinders the performance of conventional location-based approaches in determining optimal sensor configurations. Moreover, the reliance on strict mathematical assumptions further limits the applicability of these techniques in practical, uncertain oceanic environments. To address these limitations, this study proposes a quantum-inspired optimal deployment framework for TOA-based localization in a three-dimensional, uncertain, and stratified oceanic environment. A mesh grid-based uncertainty mitigation strategy is introduced to estimate target locations under uncertainty. Incorporating Snell’s law and ray-tracing theory, a min-max optimization model is formulated based on the A-optimality criterion. To overcome restrictive analytical assumptions, a Quantum-Enhanced Sparrow Search Algorithm (QESSA) with multiple adaptive strategies is proposed to determine optimal sensor deployments. Simulation results validate the superiority and robustness of the proposed method across various scenarios, outperforming several state-of-the-art techniques.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"341 ","pages":"Article 122646"},"PeriodicalIF":5.5,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145004054","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 : 2025-09-05DOI: 10.1016/j.oceaneng.2025.122674
Andi Xu , Jingwei Zhou , Fengming Li
{"title":"A numerical calculation framework for dynamic analysis of single-point moored floating offshore wind turbines","authors":"Andi Xu , Jingwei Zhou , Fengming Li","doi":"10.1016/j.oceaneng.2025.122674","DOIUrl":"10.1016/j.oceaneng.2025.122674","url":null,"abstract":"<div><div>Motivated by the idea of combining the advantages of catenary anchor leg mooring technology and stability of spar buoys, a single-point moored floating offshore wind turbine (FOWT) subjected to coupling effects of wind, wave and current is proposed and designed, and an effective numerical calculation model for the dynamic analysis of this system is developed. In this numerical model, the floating structures are regarded as rigid bodies with six-degree-of-freedom motions, and the deformations of mooring lines are implemented based on the vector form intrinsic finite element (VFIFE) method. The feasibility and accuracy of the present model are verified against the OrcaFlex software. The weathervane effect, i.e. the typical feature of single-point mooring system is realized and displayed when wind-wave-current direction changes. The influences of wind-wave-current direction, inclination angles of the anchor chains, and parameters of mooring lines on tensions and floating structure movements are investigated. The present model shows good ability to predict large rotation of the mooring lines, and assess the operational performance of the single-point mooring system. Moreover, in the situations when bending and torsional stiffnesses of mooring lines are not negligible, the present model is still capable of obtaining accurate results.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"341 ","pages":"Article 122674"},"PeriodicalIF":5.5,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144996640","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}