Pub Date : 2026-01-11DOI: 10.1016/j.oceaneng.2026.124168
Changpeng Liu , Shihong Zhou , Yubo Qi , Shuanghu Liu , Shuai Chen
Affected by beam broadening and splitting, underwater acoustic high-resolution beamforming algorithms may struggle to achieve their theoretical beam resolution capability. Unlike the frequency-fixed (FF) array data used in traditional frequency-domain beamforming, this paper explores the application of frequency-shifted (FS) array data to enhance beam resolution. Frequency-shifted array data is generated through data selection along the element-frequency domain interference striations formed by array signals with different source ranges. This process is equivalent to enhancing the consistency of array signals, thereby avoiding beam broadening and splitting. Such a change at the data level enables the FS array signal processing method to be easily extended to other high-resolution algorithms (e.g., subspace-based algorithms, compressed sensing algorithms) while ensuring their theoretical beam resolution capability. In addition, by leveraging the differences in arrival times of pulse sources with the same azimuth but different positions, beamforming based on FS array data can create differences in beam positions, thereby achieving separation of sources with the same azimuth in the beam domain. The above research content is verified through experimental data and simulation data in shallow-water and deep-water scenarios.
{"title":"Frequency-shifted array data: Improving beam resolution in underwater acoustic beamforming and enabling separation of pulse sources with the same azimuth","authors":"Changpeng Liu , Shihong Zhou , Yubo Qi , Shuanghu Liu , Shuai Chen","doi":"10.1016/j.oceaneng.2026.124168","DOIUrl":"10.1016/j.oceaneng.2026.124168","url":null,"abstract":"<div><div>Affected by beam broadening and splitting, underwater acoustic high-resolution beamforming algorithms may struggle to achieve their theoretical beam resolution capability. Unlike the frequency-fixed (FF) array data used in traditional frequency-domain beamforming, this paper explores the application of frequency-shifted (FS) array data to enhance beam resolution. Frequency-shifted array data is generated through data selection along the element-frequency domain interference striations formed by array signals with different source ranges. This process is equivalent to enhancing the consistency of array signals, thereby avoiding beam broadening and splitting. Such a change at the data level enables the FS array signal processing method to be easily extended to other high-resolution algorithms (e.g., subspace-based algorithms, compressed sensing algorithms) while ensuring their theoretical beam resolution capability. In addition, by leveraging the differences in arrival times of pulse sources with the same azimuth but different positions, beamforming based on FS array data can create differences in beam positions, thereby achieving separation of sources with the same azimuth in the beam domain. The above research content is verified through experimental data and simulation data in shallow-water and deep-water scenarios.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"350 ","pages":"Article 124168"},"PeriodicalIF":5.5,"publicationDate":"2026-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145947759","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}
Pub Date : 2026-01-11DOI: 10.1016/j.oceaneng.2026.124169
Xiang Yu , Zhang Shi , Hongde Qin , Peilong Xu
Under the influence of factors such as temperature, salinity, and water depth, the underwater acoustic propagation channel exhibits pronounced stratification, which in turn affects the performance of autonomous underwater vehicle (AUV) single-beacon localization systems. This study investigates the impact of acoustic stratification and focuses specifically on the AUV single-beacon localization method under an isogradient sound velocity profile (SVP) condition. By leveraging the relationship between acoustic signal transit time and horizontal range under an isogradient SVP, a virtual long baseline localization model is constructed using dead reckoning data from the AUV. Subsequently, two distinct position estimation methods are proposed: a closed-form solution based on two-step weighted least squares, and a semi-definite programming (SDP) solution obtained through semi-definite relaxation technique. Numerical simulations and semi-physical experiments demonstrate that by accounting for the stratification of the underwater acoustic channel, both the proposed closed-form and SDP-based solutions achieve enhanced positioning accuracy. The closed-form solution provides higher computational efficiency, whereas the SDP approach achieves superior localization performance–particularly when the number of virtual beacons is limited or measurement noise is substantial.
{"title":"AUV single-beacon localization based on virtual long baseline with an isogradient sound velocity profile","authors":"Xiang Yu , Zhang Shi , Hongde Qin , Peilong Xu","doi":"10.1016/j.oceaneng.2026.124169","DOIUrl":"10.1016/j.oceaneng.2026.124169","url":null,"abstract":"<div><div>Under the influence of factors such as temperature, salinity, and water depth, the underwater acoustic propagation channel exhibits pronounced stratification, which in turn affects the performance of autonomous underwater vehicle (AUV) single-beacon localization systems. This study investigates the impact of acoustic stratification and focuses specifically on the AUV single-beacon localization method under an isogradient sound velocity profile (SVP) condition. By leveraging the relationship between acoustic signal transit time and horizontal range under an isogradient SVP, a virtual long baseline localization model is constructed using dead reckoning data from the AUV. Subsequently, two distinct position estimation methods are proposed: a closed-form solution based on two-step weighted least squares, and a semi-definite programming (SDP) solution obtained through semi-definite relaxation technique. Numerical simulations and semi-physical experiments demonstrate that by accounting for the stratification of the underwater acoustic channel, both the proposed closed-form and SDP-based solutions achieve enhanced positioning accuracy. The closed-form solution provides higher computational efficiency, whereas the SDP approach achieves superior localization performance–particularly when the number of virtual beacons is limited or measurement noise is substantial.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"350 ","pages":"Article 124169"},"PeriodicalIF":5.5,"publicationDate":"2026-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145948011","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}
Pub Date : 2026-01-11DOI: 10.1016/j.oceaneng.2026.124198
Liangjie Sun , Wenbin Su , Qiao Hu , Tangjia Zhang , Yangbin Zeng , Chuan Jiang , Shijie Li , Xindong Shi , Dayu Zhang
Undulatory propulsion offers inherent advantages in manoeuvrability and stealth for underwater robots. However, its low thrust density limits propulsion speed, and research on multi-degree-of-freedom manoeuvrability remains insufficient. To address this issue, this paper proposes an innovative dual-mode propulsion system. The system achieves this by morphing flexible fins to integrate both a high-speed spiral mode and a high-manoeuvrability undulatory mode, thereby overcoming the performance limitations of traditional single-mode undulatory propulsion.Furthermore, high-resolution self-propulsion simulations were conducted using a constrained immersed boundary method to investigate the hydrodynamic mechanisms of both propulsion modes. Results indicate that the spiral mode has a significant high-speed advantage. With a pitch of 1.26 m, the spiral mode achieved a maximum swimming speed of 1.62 m/s,which was 88.4 % higher than the undulatory mode, making it suitable for high-speed navigation tasks. The undulatory mode achieved higher low-speed efficiency and enabled agile manoeuvres through coordinated multi-fin control. It exhibited excellent attitude control capabilities, making it suitable for operations in confined spaces and flexible obstacle avoidance. Furthermore, prototype experiments validated the simulation model, with results closely matching across different modes. Overall, the proposed dual-mode underwater robot achieves a balanced combination of speed and manoeuvrability, providing new insights for the development of high-performance undulatory propulsion systems.
{"title":"Hydrodynamic analysis of a dual-mode bioinspired underwater robot featuring high-speed and high-manoeuvrability propulsion","authors":"Liangjie Sun , Wenbin Su , Qiao Hu , Tangjia Zhang , Yangbin Zeng , Chuan Jiang , Shijie Li , Xindong Shi , Dayu Zhang","doi":"10.1016/j.oceaneng.2026.124198","DOIUrl":"10.1016/j.oceaneng.2026.124198","url":null,"abstract":"<div><div>Undulatory propulsion offers inherent advantages in manoeuvrability and stealth for underwater robots. However, its low thrust density limits propulsion speed, and research on multi-degree-of-freedom manoeuvrability remains insufficient. To address this issue, this paper proposes an innovative dual-mode propulsion system. The system achieves this by morphing flexible fins to integrate both a high-speed spiral mode and a high-manoeuvrability undulatory mode, thereby overcoming the performance limitations of traditional single-mode undulatory propulsion.Furthermore, high-resolution self-propulsion simulations were conducted using a constrained immersed boundary method to investigate the hydrodynamic mechanisms of both propulsion modes. Results indicate that the spiral mode has a significant high-speed advantage. With a pitch of 1.26 m, the spiral mode achieved a maximum swimming speed of 1.62 m/s,which was 88.4 % higher than the undulatory mode, making it suitable for high-speed navigation tasks. The undulatory mode achieved higher low-speed efficiency and enabled agile manoeuvres through coordinated multi-fin control. It exhibited excellent attitude control capabilities, making it suitable for operations in confined spaces and flexible obstacle avoidance. Furthermore, prototype experiments validated the simulation model, with results closely matching across different modes. Overall, the proposed dual-mode underwater robot achieves a balanced combination of speed and manoeuvrability, providing new insights for the development of high-performance undulatory propulsion systems.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"350 ","pages":"Article 124198"},"PeriodicalIF":5.5,"publicationDate":"2026-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145947760","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}
Pub Date : 2026-01-11DOI: 10.1016/j.oceaneng.2025.124122
Jiani Chen , Teng Gao , Yutong Song , Yao Zhang , Nicholas Townsend , Stephen Turnock , Richard Bucknall , Tianyi Zeng
Wave prediction is becoming increasingly important to provide optimal solutions in marine activities such as autonomous decision making and human activity planning. Learning-based algorithms require a sufficient amount of historical data for training, however, in marine scenarios, the acquisition of valid, high-quality wave data is frequently constrained by factors such as equipment limitations, harsh ocean conditions, or limited monitoring coverage. To address the challenge of sea wave prediction with small-scale training datasets, this paper proposes a new data augmentation model, WTGAN (Wasserstein Temporal Generative Adversarial Network). By capturing temporal dependencies and generating synthetic time series data, the WTGAN model aims to mitigate the data scarcity issue. The effectiveness of the new proposed model is validated by comparing the statistical properties of synthetic data, as well as the performance of three commonly-applied forecasting models with and without data augmentation. The performance of sea wave forecasting is assessed by the Mean Absolute Error (MAE), Root Mean Square Error (RMSE) and Coefficient of Determination (R2), and is improved with the proposed WTGAN model by 5% to 12% under different wave conditions.
{"title":"Wasserstein temporal GAN for ocean wave prediction with small training sets","authors":"Jiani Chen , Teng Gao , Yutong Song , Yao Zhang , Nicholas Townsend , Stephen Turnock , Richard Bucknall , Tianyi Zeng","doi":"10.1016/j.oceaneng.2025.124122","DOIUrl":"10.1016/j.oceaneng.2025.124122","url":null,"abstract":"<div><div>Wave prediction is becoming increasingly important to provide optimal solutions in marine activities such as autonomous decision making and human activity planning. Learning-based algorithms require a sufficient amount of historical data for training, however, in marine scenarios, the acquisition of valid, high-quality wave data is frequently constrained by factors such as equipment limitations, harsh ocean conditions, or limited monitoring coverage. To address the challenge of sea wave prediction with small-scale training datasets, this paper proposes a new data augmentation model, WTGAN (Wasserstein Temporal Generative Adversarial Network). By capturing temporal dependencies and generating synthetic time series data, the WTGAN model aims to mitigate the data scarcity issue. The effectiveness of the new proposed model is validated by comparing the statistical properties of synthetic data, as well as the performance of three commonly-applied forecasting models with and without data augmentation. The performance of sea wave forecasting is assessed by the Mean Absolute Error (MAE), Root Mean Square Error (RMSE) and Coefficient of Determination (<em>R</em><sup>2</sup>), and is improved with the proposed WTGAN model by 5% to 12% under different wave conditions.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"350 ","pages":"Article 124122"},"PeriodicalIF":5.5,"publicationDate":"2026-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145947758","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}
Scouring can significantly impact the natural frequencies and dynamic responses of monopile-supported offshore wind turbines (OWTs) under the combined effects of wind, waves, and seismic loads. As scouring progresses, the passive vibration reduction devices commonly used in OWTs gradually lose their optimal tuning effects. In this study, we present an innovative numerical analysis of a semi-active toroidal tuned liquid column damper (S-TTLCD), specifically designed to effectively suppress multi-directional vibrations in monopile-supported OWTs. This is particularly targeted at enhancing the structural stability under the combined effects of wind, wave, and seismic forces in areas prone to scouring. The soil-pile interaction is modeled utilizing a curve relationship, while the model of OWTs comprehensively integrates the impacts of multi-hazard loading conditions and diverse scouring depths to enable a rigorous systematic analysis. A sophisticated semi-active control strategy based on short-time Fourier transform (STFT) and displacement based groundhook (DBG) is devised, in which the natural frequency and damping of the S-TTLCD are precisely adjusted to match the responses of OWTs affected by scouring. The findings demonstrate that the S-TTLCD mitigates the dynamic responses of OWTs, outperforming the passive system, especially when the structural dynamic properties is altered due to scouring.
{"title":"Semi-active vibration control of monopile-supported offshore wind turbines at scour sites","authors":"Jian Zhang , Hao Ding , Jin-Ting Wang , Okyay Altay","doi":"10.1016/j.oceaneng.2026.124190","DOIUrl":"10.1016/j.oceaneng.2026.124190","url":null,"abstract":"<div><div>Scouring can significantly impact the natural frequencies and dynamic responses of monopile-supported offshore wind turbines (OWTs) under the combined effects of wind, waves, and seismic loads. As scouring progresses, the passive vibration reduction devices commonly used in OWTs gradually lose their optimal tuning effects. In this study, we present an innovative numerical analysis of a semi-active toroidal tuned liquid column damper (S-TTLCD), specifically designed to effectively suppress multi-directional vibrations in monopile-supported OWTs. This is particularly targeted at enhancing the structural stability under the combined effects of wind, wave, and seismic forces in areas prone to scouring. The soil-pile interaction is modeled utilizing a <span><math><mrow><mi>P</mi><mo>−</mo><mi>y</mi></mrow></math></span> curve relationship, while the model of OWTs comprehensively integrates the impacts of multi-hazard loading conditions and diverse scouring depths to enable a rigorous systematic analysis. A sophisticated semi-active control strategy based on short-time Fourier transform (STFT) and displacement based groundhook (DBG) is devised, in which the natural frequency and damping of the S-TTLCD are precisely adjusted to match the responses of OWTs affected by scouring. The findings demonstrate that the S-TTLCD mitigates the dynamic responses of OWTs, outperforming the passive system, especially when the structural dynamic properties is altered due to scouring.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"350 ","pages":"Article 124190"},"PeriodicalIF":5.5,"publicationDate":"2026-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145947769","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}
Pub Date : 2026-01-11DOI: 10.1016/j.oceaneng.2025.124163
Magnus Daniel Kallinger , Hector del Pozo Gonzalez , Pau Trubat , Jose Luis Domínguez-García , Climent Molins
Mooring design is critical to the cost-efficiency of floating offshore wind projects located in deeper waters. This work presents a frequency-domain mooring-optimization framework for floating platforms that enables rapid concept mooring design screening and constraint checks, minimizing early-stage CAPEX. DLC 1.6 and DLC 1.2 are assessed for Ultimate Limit State and Fatigue Limit State, respectively, by Orcaflex’ frequency-domain module. An adaptive particle swarm optimization algorithm is developed in Python, featuring neighborhood regrouping and informed by variable constraint correlations to guide efficient search. The method allows independent variable settings for different line groups, supporting a wide range of materials and components. A static-dynamic stiffness model is applied to a variety of fiber ropes, with linearized integration of load-reduction devices. The methodology is applied on the WindCrete spar and Volturn-US semi-submersible, each with a 15 MW turbine under multidirectional co-aligned environmental conditions. The study moves beyond symmetric mooring assumptions, promoting line-specific, functionally targeted designs. Spars require more complex configurations, while semi-submersibles enable lower cost solutions. Anchors and chains are major cost drivers; Nylon is more economical than Polyester, and wire ropes outperform HMPE (high-modulus polyethylene) for high stiffness solutions. Load-reduction devices and buoyancy modules can be critical but are cost-sensitive. Correlation analysis reveals that especially line form, rope and forerunner chain characteristics, govern whether the mooring system becomes tension-, fatigue- or motion-critical with load-reduction devices acting as secondary tuning elements.
{"title":"Holistic optimization and comparison of mooring systems for floating offshore wind turbines","authors":"Magnus Daniel Kallinger , Hector del Pozo Gonzalez , Pau Trubat , Jose Luis Domínguez-García , Climent Molins","doi":"10.1016/j.oceaneng.2025.124163","DOIUrl":"10.1016/j.oceaneng.2025.124163","url":null,"abstract":"<div><div>Mooring design is critical to the cost-efficiency of floating offshore wind projects located in deeper waters. This work presents a frequency-domain mooring-optimization framework for floating platforms that enables rapid concept mooring design screening and constraint checks, minimizing early-stage CAPEX. DLC 1.6 and DLC 1.2 are assessed for Ultimate Limit State and Fatigue Limit State, respectively, by Orcaflex’ frequency-domain module. An adaptive particle swarm optimization algorithm is developed in Python, featuring neighborhood regrouping and informed by variable constraint correlations to guide efficient search. The method allows independent variable settings for different line groups, supporting a wide range of materials and components. A static-dynamic stiffness model is applied to a variety of fiber ropes, with linearized integration of load-reduction devices. The methodology is applied on the WindCrete spar and Volturn-US semi-submersible, each with a 15 MW turbine under multidirectional co-aligned environmental conditions. The study moves beyond symmetric mooring assumptions, promoting line-specific, functionally targeted designs. Spars require more complex configurations, while semi-submersibles enable lower cost solutions. Anchors and chains are major cost drivers; Nylon is more economical than Polyester, and wire ropes outperform HMPE (high-modulus polyethylene) for high stiffness solutions. Load-reduction devices and buoyancy modules can be critical but are cost-sensitive. Correlation analysis reveals that especially line form, rope and forerunner chain characteristics, govern whether the mooring system becomes tension-, fatigue- or motion-critical with load-reduction devices acting as secondary tuning elements.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"350 ","pages":"Article 124163"},"PeriodicalIF":5.5,"publicationDate":"2026-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145947768","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}
Pub Date : 2026-01-11DOI: 10.1016/j.oceaneng.2025.124156
Zhongheng Lai , Chengbin Liu , Jian Su
Slug flow is frequently encountered in curved pipelines and may induce severe pressure and load fluctuations, making its accurate prediction essential for flow assurance and structural integrity. This study develops a mathematical model based on the slug-tracking approach to predict transient gas-liquid slug flow in curved pipelines. The slug flow is modeled as a sequence of slug units, each divided into a liquid slug with entrained bubbles and a stratified bubble-liquid film region. The model incorporates momentum jumps, hydrostatic pressure effects, and curvature effects, while explicitly representing wake-induced bubble acceleration and the associated film backflow through interfacial balances. Validation against experimental data confirms that the model reproduces key slug flow features with high fidelity. The results show that the modeling framework consistently captures the spatiotemporal evolution of slug flow, including pressure reduction, gas expansion, bubble acceleration, and film backflow. Statistical analysis reveals characteristic transitions in flow distributions, with slug frequency and bubble velocity strongly dependent on the gas-liquid velocity ratio. These findings highlight the inertia-gravity interplay governing slug flow dynamics and provide insights for flow assurance and offshore pipeline design. Moreover, the predicted slug characteristics can offer critical data support for fluid-structure interaction, structural integrity assessments, safe operation, and mitigation strategies such as controlled start-up, throttling, and slug suppression devices.
{"title":"Numerical modeling of transient gas-liquid two-phase slug flow in a curved pipe","authors":"Zhongheng Lai , Chengbin Liu , Jian Su","doi":"10.1016/j.oceaneng.2025.124156","DOIUrl":"10.1016/j.oceaneng.2025.124156","url":null,"abstract":"<div><div>Slug flow is frequently encountered in curved pipelines and may induce severe pressure and load fluctuations, making its accurate prediction essential for flow assurance and structural integrity. This study develops a mathematical model based on the slug-tracking approach to predict transient gas-liquid slug flow in curved pipelines. The slug flow is modeled as a sequence of slug units, each divided into a liquid slug with entrained bubbles and a stratified bubble-liquid film region. The model incorporates momentum jumps, hydrostatic pressure effects, and curvature effects, while explicitly representing wake-induced bubble acceleration and the associated film backflow through interfacial balances. Validation against experimental data confirms that the model reproduces key slug flow features with high fidelity. The results show that the modeling framework consistently captures the spatiotemporal evolution of slug flow, including pressure reduction, gas expansion, bubble acceleration, and film backflow. Statistical analysis reveals characteristic transitions in flow distributions, with slug frequency and bubble velocity strongly dependent on the gas-liquid velocity ratio. These findings highlight the inertia-gravity interplay governing slug flow dynamics and provide insights for flow assurance and offshore pipeline design. Moreover, the predicted slug characteristics can offer critical data support for fluid-structure interaction, structural integrity assessments, safe operation, and mitigation strategies such as controlled start-up, throttling, and slug suppression devices.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"350 ","pages":"Article 124156"},"PeriodicalIF":5.5,"publicationDate":"2026-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145948010","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}
Offshore wind turbine (OWT) structures are subjected to wind and wave loads throughout their service period. These loads typically exhibit random characteristics, different directions, and asymmetry. In the present research, the dynamic response of OWT has been simplified by representing wind and wave loads as a unidirectional horizontal force. However, the changing direction of wind and waves is demonstrated through extensive ocean field measurements. When only the co-directional action of wind and wave loads is considered, the resulting dynamic response is not representative of actual conditions. To address this issue, a self-developed loading simulation system designed for complex marine environmental conditions is employed. Under physical model test conditions at a scale of 1:100, experimental studies are conducted on the dynamic response of OWT under asymmetric wind-wave loads. Based on measured data from the eastern sea area, typical wind-wave misalignment angles are selected. And the dynamic response is analyzed at different misalignment angles and wind speeds. The significant impact of asymmetric wind-wave loads on the dynamic response of OWT has been demonstrated by the results of the study. By comparing the maximum bending moment at mud surface under different conditions, the condition with the wind speed of 1.8 m/s and the 22.5° wind-wave misalignment angle is identified as potentially the most unfavorable. The design, operation, and maintenance of OWT structures in eastern sea areas have gained significant research significance and engineering value through this study.
{"title":"Experimental study on dynamic response of offshore wind turbine structures under asymmetric wave and wind loads","authors":"Zhang Xiao-ling, Zhou Guang-li, Zhang Bing-jie, Xu Cheng-shun","doi":"10.1016/j.oceaneng.2026.124257","DOIUrl":"10.1016/j.oceaneng.2026.124257","url":null,"abstract":"<div><div>Offshore wind turbine (OWT) structures are subjected to wind and wave loads throughout their service period. These loads typically exhibit random characteristics, different directions, and asymmetry. In the present research, the dynamic response of OWT has been simplified by representing wind and wave loads as a unidirectional horizontal force. However, the changing direction of wind and waves is demonstrated through extensive ocean field measurements. When only the co-directional action of wind and wave loads is considered, the resulting dynamic response is not representative of actual conditions. To address this issue, a self-developed loading simulation system designed for complex marine environmental conditions is employed. Under physical model test conditions at a scale of 1:100, experimental studies are conducted on the dynamic response of OWT under asymmetric wind-wave loads. Based on measured data from the eastern sea area, typical wind-wave misalignment angles are selected. And the dynamic response is analyzed at different misalignment angles and wind speeds. The significant impact of asymmetric wind-wave loads on the dynamic response of OWT has been demonstrated by the results of the study. By comparing the maximum bending moment at mud surface under different conditions, the condition with the wind speed of 1.8 m/s and the 22.5° wind-wave misalignment angle is identified as potentially the most unfavorable. The design, operation, and maintenance of OWT structures in eastern sea areas have gained significant research significance and engineering value through this study.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"349 ","pages":"Article 124257"},"PeriodicalIF":5.5,"publicationDate":"2026-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145928486","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}
Pub Date : 2026-01-10DOI: 10.1016/j.oceaneng.2025.124162
Utkarsh Bhardwaj, C. Guedes Soares
This study presents a comprehensive methodology for assessing the risk of offshore wind turbine failures using a probabilistic framework based on Bayesian Networks. Drawing on a dataset of 1753 failure events from offshore wind farms, this study provides failure patterns through systematic statistical analysis, comprising failure frequencies, criticalities, and shutdown distributions across offshore wind turbines’ sub-components. Chi-square tests are conducted to identify statistical relationships among fault indicators, maintenance actions and subcomponents. A Bayesian Network model is created, integrating expert knowledge and evidence of failure data to develop relationships among components, sub-components, and failure causes. Sensitivity analyses identify key drivers of system failure, highlighting the influence of critical units such as generators, converters, and cooling systems. This study has two facets, statistical characterisation and probabilistic modelling, which allow accurate diagnosis of failure scenarios and support informed, evidence-based decision-making. The findings are directly applicable to improving operational reliability and guiding maintenance planning in offshore wind farms.
{"title":"A Bayesian network framework for evidence-based risk analysis of offshore wind turbines","authors":"Utkarsh Bhardwaj, C. Guedes Soares","doi":"10.1016/j.oceaneng.2025.124162","DOIUrl":"10.1016/j.oceaneng.2025.124162","url":null,"abstract":"<div><div>This study presents a comprehensive methodology for assessing the risk of offshore wind turbine failures using a probabilistic framework based on Bayesian Networks. Drawing on a dataset of 1753 failure events from offshore wind farms, this study provides failure patterns through systematic statistical analysis, comprising failure frequencies, criticalities, and shutdown distributions across offshore wind turbines’ sub-components. Chi-square tests are conducted to identify statistical relationships among fault indicators, maintenance actions and subcomponents. A Bayesian Network model is created, integrating expert knowledge and evidence of failure data to develop relationships among components, sub-components, and failure causes. Sensitivity analyses identify key drivers of system failure, highlighting the influence of critical units such as generators, converters, and cooling systems. This study has two facets, statistical characterisation and probabilistic modelling, which allow accurate diagnosis of failure scenarios and support informed, evidence-based decision-making. The findings are directly applicable to improving operational reliability and guiding maintenance planning in offshore wind farms.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"349 ","pages":"Article 124162"},"PeriodicalIF":5.5,"publicationDate":"2026-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145928492","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}
Pub Date : 2026-01-10DOI: 10.1016/j.oceaneng.2026.124254
Guoyan Li , Yan Li , Qiang Zhu , Bin Wang , Yiting Feng , Ouming Su , Yiwen Cui , Haoran Li
According to observations, the operation of floating offshore wind turbine (FOWT) faces the potential hazard of successive extreme waves (SEWs). These waves increase the transient response of the floater and threaten the system safety, especially after mooring line failure. To understand this issue, we focus on the effects of extreme waves with two large crests. A fully coupled model is developed to investigate the floater motions of a 15 MW semi-submersible FOWT under the impact of four types of SEWs with different impact times. The blade element momentum theory, three-dimensional potential flow theory, and finite element theory are employed for the aero-hydro-elastic model. Mooring failure amplification effects are quantified and assessed using a novel impact factor. Our work demonstrates that the floater motions exhibit variations in both amplitude and phase under the SEW impacts. The increase in wave height amplifies the wave loads, leading to increases in the wavelet energy at the wave frequency and natural frequencies. The out-of-horizontal-plane motions are less affected by the mooring line failure compared with the in-horizontal-plane motions as the mooring system primarily provides horizontal stiffness. Notably, it is interesting to find that the mooring line failure reduces the pitch motion in SEWs compared with the intact mooring system.
{"title":"Floater motions of a 15 MW floating offshore wind turbine under extreme waves after mooring line failure","authors":"Guoyan Li , Yan Li , Qiang Zhu , Bin Wang , Yiting Feng , Ouming Su , Yiwen Cui , Haoran Li","doi":"10.1016/j.oceaneng.2026.124254","DOIUrl":"10.1016/j.oceaneng.2026.124254","url":null,"abstract":"<div><div>According to observations, the operation of floating offshore wind turbine (FOWT) faces the potential hazard of successive extreme waves (SEWs). These waves increase the transient response of the floater and threaten the system safety, especially after mooring line failure. To understand this issue, we focus on the effects of extreme waves with two large crests. A fully coupled model is developed to investigate the floater motions of a 15 MW semi-submersible FOWT under the impact of four types of SEWs with different impact times. The blade element momentum theory, three-dimensional potential flow theory, and finite element theory are employed for the aero-hydro-elastic model. Mooring failure amplification effects are quantified and assessed using a novel impact factor. Our work demonstrates that the floater motions exhibit variations in both amplitude and phase under the SEW impacts. The increase in wave height amplifies the wave loads, leading to increases in the wavelet energy at the wave frequency and natural frequencies. The out-of-horizontal-plane motions are less affected by the mooring line failure compared with the in-horizontal-plane motions as the mooring system primarily provides horizontal stiffness. Notably, it is interesting to find that the mooring line failure reduces the pitch motion in SEWs compared with the intact mooring system.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"349 ","pages":"Article 124254"},"PeriodicalIF":5.5,"publicationDate":"2026-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145928493","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}