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A framework for energy-balance audits in laboratory OWC experiments 实验室OWC实验中能量平衡审计的框架
IF 4.4 2区 工程技术
Applied Ocean Research Pub Date : 2026-02-01 Epub Date: 2026-01-29 DOI: 10.1016/j.apor.2026.104949
Ashley N. Chong, Paul M. Koola, Sharath S. Girimaji
{"title":"A framework for energy-balance audits in laboratory OWC experiments","authors":"Ashley N. Chong,&nbsp;Paul M. Koola,&nbsp;Sharath S. Girimaji","doi":"10.1016/j.apor.2026.104949","DOIUrl":"10.1016/j.apor.2026.104949","url":null,"abstract":"<div><div>Wave energy conversion (WEC) systems have long promised a sustainable source of renewable energy. However, their progress remains constrained by persistently low conversion efficiencies and the absence of standardized practices for comparing system performance across studies and devices. Energy auditing is a critical element of experimental methodology for establishing confidence and credibility in laboratory investigations and the subsequent design of wave-energy systems. Its implementation is challenging: the energy input (decomposition of incident and reflected wave power), the useful output (device absorption), and especially losses (leakage, pneumatic, viscous, and radiative) are difficult to quantify. Recognizing these challenges, this paper presents an energy-balance framework for oscillating water column (OWC) laboratory studies and reports preliminary experimental results. The measurements integrate a four-probe incident/reflected decomposition and synchronized chamber-power measurements with a baseline loss model to evaluate overall energy closure. Two analysis windows—pre-rebound (Region 1) and post-rebound (Region 2)—are used to examine the influence of wave re-encounters and finite-flume effects. Application to initial flume measurements reveals a modest yet non-negligible range of unaccounted power and identifies conditions under which frequency-dependent losses may become significant. On the basis of these observations, the study offers lessons learned and best-practice recommendations for probe placement, calibration and leakage checks, and transparent reporting of residuals. The proposed framework establishes a reproducible foundation for OWC experimentation, enabling systematic optimization and informing design improvements.</div></div>","PeriodicalId":8261,"journal":{"name":"Applied Ocean Research","volume":"167 ","pages":"Article 104949"},"PeriodicalIF":4.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146090415","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}
引用次数: 0
Behaviour of monopile-gravity-shallow bucket hybrid foundation for offshore wind turbine under cyclic load in sandy soil 砂质土中海上风力发电机组单桩-重力-浅桶混合地基循环荷载特性
IF 4.4 2区 工程技术
Applied Ocean Research Pub Date : 2026-02-01 Epub Date: 2026-02-04 DOI: 10.1016/j.apor.2026.104955
Xinyao Li , Yi Tan , Yifei Sun , Min Zhang , Wei Duan , Zean Xiao
{"title":"Behaviour of monopile-gravity-shallow bucket hybrid foundation for offshore wind turbine under cyclic load in sandy soil","authors":"Xinyao Li ,&nbsp;Yi Tan ,&nbsp;Yifei Sun ,&nbsp;Min Zhang ,&nbsp;Wei Duan ,&nbsp;Zean Xiao","doi":"10.1016/j.apor.2026.104955","DOIUrl":"10.1016/j.apor.2026.104955","url":null,"abstract":"<div><div>This paper investigates the behavior of a monopile-gravity-shallow bucket (MGB) hybrid foundation for offshore wind turbines (OWTs) under cyclic loading conditions. The study aims to understand the long-term performance of the hybrid foundation, focusing on accumulative deflection, rotation prediction, stiffness degradation, and post-cyclic bearing capacity. A series of 1 g model tests were conducted to evaluate the foundation's response to both monotonic and cyclic lateral loads in dense sand, with varying aspect ratios and cyclic load parameters. The results indicate that the bucket diameter significantly influences the accumulative rotation, as larger diameters leading to reduced deflection under cyclic loading. The study also examines the effects of cyclic load magnitude ratio (<em>ζ</em><sub>b</sub>) and symmetry ratio (<em>ζ</em><sub>c</sub>) on the foundation's performance, revealing that higher <em>ζ</em><sub>b</sub> values lead to greater accumulative rotation, while the two-way loading results in larger deflections compared to the one-way loading. The dimensionless analysis demonstrates that the MGB foundation exhibits a significantly slower cumulative deformation rate than monopile and suction bucket foundations, with regression models incorporating the two loading parameters further developed to predict rotation angles. Additionally, the foundation's stiffness tends to increase after long-term cyclic loading in dense soil condition. The post-cyclic monotonic bearing capacity of the hybrid foundation was found to be higher than its pre-cyclic capacity, suggesting improved soil densification around the foundation. The findings provide some insights for the design and optimization of hybrid foundations for OWTs under long-term cyclic loading.</div></div>","PeriodicalId":8261,"journal":{"name":"Applied Ocean Research","volume":"167 ","pages":"Article 104955"},"PeriodicalIF":4.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146185221","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}
引用次数: 0
Missing data imputation for an ocean research station based on multi-layer perceptron neural network 基于多层感知器神经网络的海洋研究站缺失数据输入
IF 4.4 2区 工程技术
Applied Ocean Research Pub Date : 2026-02-01 Epub Date: 2026-02-04 DOI: 10.1016/j.apor.2026.104956
Nam-Hoon Kim , Sung-Hwan Park , Jin-Yong Jeong , Jin-Yong Choi , Ki-Young Heo , Yongchim Min , Jung-Woon Choi
{"title":"Missing data imputation for an ocean research station based on multi-layer perceptron neural network","authors":"Nam-Hoon Kim ,&nbsp;Sung-Hwan Park ,&nbsp;Jin-Yong Jeong ,&nbsp;Jin-Yong Choi ,&nbsp;Ki-Young Heo ,&nbsp;Yongchim Min ,&nbsp;Jung-Woon Choi","doi":"10.1016/j.apor.2026.104956","DOIUrl":"10.1016/j.apor.2026.104956","url":null,"abstract":"<div><div>Missing data from ocean research stations pose significant challenges for accurate oceanographic modeling and analysis. Such data gaps frequently occur during summer typhoon seasons and often persist for extended periods due to severe weather conditions. This study introduces a multi-layer perceptron neural network for missing data imputation, using reanalysis datasets as inputs. Reanalysis products were used as reference data to provide contextual information on potential ocean conditions during the missing periods. The model was trained on periods with available observations, learning to leverage reanalysis data as supplementary inputs while aligning with observed patterns. The trained network was then applied to the missing periods, effectively using reanalysis data to reconstruct gaps caused by typhoon-related disruptions. The imputation results indicate that the proposed model performs effectively in filling long-term data gaps, demonstrating robustness and reliability. By leveraging reanalysis data for gap imputation, the method achieves high accuracy in reconstructing missing values and significantly improves the completeness and utility of datasets from ocean research stations for both scientific and operational purposes.</div></div>","PeriodicalId":8261,"journal":{"name":"Applied Ocean Research","volume":"167 ","pages":"Article 104956"},"PeriodicalIF":4.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146185222","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}
引用次数: 0
Aerodynamic modeling and wake characterization of a 15-MW offshore wind turbine: Insights from blade-resolved URANS simulations 15兆瓦海上风力涡轮机的空气动力学建模和尾流特性:来自叶片分辨率URANS模拟的见解
IF 4.4 2区 工程技术
Applied Ocean Research Pub Date : 2026-02-01 Epub Date: 2026-01-23 DOI: 10.1016/j.apor.2026.104935
Cong Yi , Shenglei Fu , Shangru Jia , Shuyu Yan , Haoran Yang , Hongbo Zhu
{"title":"Aerodynamic modeling and wake characterization of a 15-MW offshore wind turbine: Insights from blade-resolved URANS simulations","authors":"Cong Yi ,&nbsp;Shenglei Fu ,&nbsp;Shangru Jia ,&nbsp;Shuyu Yan ,&nbsp;Haoran Yang ,&nbsp;Hongbo Zhu","doi":"10.1016/j.apor.2026.104935","DOIUrl":"10.1016/j.apor.2026.104935","url":null,"abstract":"<div><div>As offshore wind turbines continue to scale up beyond 15 MW, their aerodynamic complexity and wake interactions present significant modeling and performance prediction challenges. This study investigates the aerodynamic behavior and wake characteristics of the IEA-15MW reference wind turbine using high-fidelity three-dimensional CFD simulations based on the URANS framework with the SST <span><math><mrow><mi>k</mi><mo>−</mo><mi>ω</mi></mrow></math></span> turbulence model. A series of blade-resolved simulations are conducted across a range of below-rated wind speeds to evaluate flow separation phenomena, spanwise force distribution, and local blade aerodynamics. The results reveal a nearly constant angle of attack (AOA) prior to pitch control engagement, with decreasing separation from root to mid-span and significant tip loss effects near the blade edge. A comparative analysis with Blade Element Momentum Theory (BEMT) demonstrates that BEMT overestimates the axial induction velocity and aerodynamic loading, which is attributed to an overprediction of the axial induction factor and limitations in the tip loss corrections. However, despite these differences in the force distribution along the blade, the results show comparable overall power estimates. Furthermore, the wake recovery process is governed by distinct mechanisms in the hub and tip regions: viscous and turbulent diffusion dominate recovery near the hub, whereas velocity shear primarily drives recovery in the tip region. In the far wake, the tip and hub vortices begin to interact and merge, enhancing the overall velocity recovery of the wake. Collectively, the findings provide critical insights into advanced aerodynamic modeling, accurate performance evaluation, and effective wake management strategies for next-generation ultra-large offshore wind turbines.</div></div>","PeriodicalId":8261,"journal":{"name":"Applied Ocean Research","volume":"167 ","pages":"Article 104935"},"PeriodicalIF":4.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146036821","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}
引用次数: 0
Down-scale marine hydrodynamic analysis at the Norwegian coast from metocean to FSI—The NORA-SARAH open framework 挪威海岸从海洋到fsi - NORA-SARAH开放框架的小尺度海洋水动力分析
IF 4.4 2区 工程技术
Applied Ocean Research Pub Date : 2026-02-01 Epub Date: 2026-02-02 DOI: 10.1016/j.apor.2026.104944
Widar Weizhi Wang , Konstantinos Christakos , Csaba Pákozdi , Hans Bihs
{"title":"Down-scale marine hydrodynamic analysis at the Norwegian coast from metocean to FSI—The NORA-SARAH open framework","authors":"Widar Weizhi Wang ,&nbsp;Konstantinos Christakos ,&nbsp;Csaba Pákozdi ,&nbsp;Hans Bihs","doi":"10.1016/j.apor.2026.104944","DOIUrl":"10.1016/j.apor.2026.104944","url":null,"abstract":"<div><div>Offshore wave studies often assume Gaussian processes and homogeneous wave fields. However, as waves approach the shoreline, complex coastal topo-bathymetry induces transformations such as shoaling, refraction, diffraction, reflection, and breaking, leading to increased nonlinearity and site-specific wave characteristics. This complexity necessitates detailed site-specific studies for coastal infrastructure design and blue economy planning.</div><div>This work presents a dynamical downscaling procedure for analyzing wave–structure interactions from offshore metocean conditions. The open-access NORA3 and NORA10EI hindcast databases define offshore seastates and wind conditions, which are propagated to nearshore regions using the phase-averaged wave model SWAN. The outputs inform phase-resolving simulations with the fully nonlinear potential flow solver REEF3D::FNPF, incorporating an Arbitrary Eulerian–Lagrangian (ALE) method to compute wave forces via Morison’s formulation and to screen for severe wave loads, which are further examined using the fully viscous Navier–Stokes solver REEF3D::CFD. A one-way hydrodynamic coupling (HDC) between the potential flow and viscous solvers ensures accurate information transfer.</div><div>The proposed NORA-SARAH framework, integrating NORA databases with SWAN-REEF3D-ALE-HDC, offers a robust approach for complex coastal environments. A case study in Southern Norway demonstrates its advantages over traditional significant wave height (<span><math><msub><mrow><mi>H</mi></mrow><mrow><mi>s</mi></mrow></msub></math></span>)-based or phase-averaged modeling-based practices, highlighting the necessity of this downscaling method.</div></div>","PeriodicalId":8261,"journal":{"name":"Applied Ocean Research","volume":"167 ","pages":"Article 104944"},"PeriodicalIF":4.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146185217","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}
引用次数: 0
The impact of wave–current interaction on the dynamic response of a floating offshore wind turbine: A CFD investigation 波流相互作用对浮式海上风力机动力响应的影响:CFD研究
IF 4.4 2区 工程技术
Applied Ocean Research Pub Date : 2026-02-01 Epub Date: 2026-01-20 DOI: 10.1016/j.apor.2026.104928
Yiyong Dong , Weikai Tan , Kaiqing Luo , Yuzhu Pearl Li , Jing Yuan
{"title":"The impact of wave–current interaction on the dynamic response of a floating offshore wind turbine: A CFD investigation","authors":"Yiyong Dong ,&nbsp;Weikai Tan ,&nbsp;Kaiqing Luo ,&nbsp;Yuzhu Pearl Li ,&nbsp;Jing Yuan","doi":"10.1016/j.apor.2026.104928","DOIUrl":"10.1016/j.apor.2026.104928","url":null,"abstract":"<div><div>Floating offshore wind turbines (FOWTs) are critical for deep-water renewable energy, but their dynamic response under combined wind, wave, and current conditions involves complex, nonlinear interactions that challenge accurate prediction. This study presents a high-fidelity computational fluid dynamics (CFD) model within the OpenFOAM framework, incorporating a new coupled wind–wave–current inlet boundary condition. The integrated numerical approach couples a multiphase flow solver (olaFlow), an actuator line model (ALM) for aerodynamics, a dynamic mooring model (MoorDyn), and a six-degree-of-freedom motion solver. Simulations under both normal and extreme conditions reveal that while the mean surge excitation force follows a linear superposition of individual environmental loads, the resulting mean displacement deviates significantly under large motions due to mooring system nonlinearity. In contrast, wave–current interaction (WCI) profoundly amplifies the wave-frequency surge response, with surge amplitudes increasing up to fourfold under normal conditions and doubling under extreme conditions. This amplification affects the overall platform motions and influences nacelle dynamics. As a result, it induces fluctuations in power output and thrust loading, undermining power generation stability and posing risks to blade safety and platform integrity. The study concludes that fully coupled simulations are essential for realistic FOWT design and assessment.</div></div>","PeriodicalId":8261,"journal":{"name":"Applied Ocean Research","volume":"167 ","pages":"Article 104928"},"PeriodicalIF":4.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145996192","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}
引用次数: 0
Study on the characteristics of underwater radiated noise induced by cabin airborne noise: Model testing and numerical simulation 舱室机载噪声诱发水下辐射噪声特性研究:模型试验与数值模拟
IF 4.4 2区 工程技术
Applied Ocean Research Pub Date : 2026-02-01 Epub Date: 2026-01-28 DOI: 10.1016/j.apor.2026.104947
Haichao Li , Jialong Wang , Heyan Xu , Fuzhen Pang , Tianyi Hang
{"title":"Study on the characteristics of underwater radiated noise induced by cabin airborne noise: Model testing and numerical simulation","authors":"Haichao Li ,&nbsp;Jialong Wang ,&nbsp;Heyan Xu ,&nbsp;Fuzhen Pang ,&nbsp;Tianyi Hang","doi":"10.1016/j.apor.2026.104947","DOIUrl":"10.1016/j.apor.2026.104947","url":null,"abstract":"<div><div>The vibration and acoustic radiation characteristics of reinforced cylindrical shells under airborne noise excitation in underwater compartments were investigated using experimental and numerical simulation approaches. A numerical simulation model of the cylindrical shell structure was developed, and its accuracy was validated through experimental data. Acoustic radiation measurements were conducted in an anechoic tank for the reinforced cylindrical shell under white noise, fixed-frequency, and in-service load excitations. By comparing the experimental results with numerical simulations, the effectiveness of the analytical method for studying compartment airborne noise excitation characteristics was validated. The experimental and numerical results demonstrate that, within the frequency range of 100 Hz to 10 kHz, the simulation outcomes exhibit good overall agreement with the experimental measurements, with a maximum discrepancy of 4 dB between the two datasets. This further confirms the reliability of the proposed analytical framework for assessing airborne noise excitation characteristics in underwater compartments.</div></div>","PeriodicalId":8261,"journal":{"name":"Applied Ocean Research","volume":"167 ","pages":"Article 104947"},"PeriodicalIF":4.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146090416","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}
引用次数: 0
A hybrid machine learning and physics-based model to predict the fatigue life of free-spanning pipelines 一种混合机器学习和基于物理的模型来预测自由跨越管道的疲劳寿命
IF 4.4 2区 工程技术
Applied Ocean Research Pub Date : 2026-02-01 Epub Date: 2026-01-23 DOI: 10.1016/j.apor.2026.104948
Ali Karrech , Mohammed Abdelsalam , Hongwei An , Fraser Bransby , Scott Draper , Phil Watson
{"title":"A hybrid machine learning and physics-based model to predict the fatigue life of free-spanning pipelines","authors":"Ali Karrech ,&nbsp;Mohammed Abdelsalam ,&nbsp;Hongwei An ,&nbsp;Fraser Bransby ,&nbsp;Scott Draper ,&nbsp;Phil Watson","doi":"10.1016/j.apor.2026.104948","DOIUrl":"10.1016/j.apor.2026.104948","url":null,"abstract":"<div><div>Predicting the dynamic response of a free-spanning subsea pipeline is complicated because of the intricate interactions dependent on the seabed behaviour, pipeline deformation and hydrodynamics. Traditionally, deterministic modelling techniques based on analytical, numerical and/or empirical solutions have been employed for predicting the response of subsea pipelines and inferring their fatigue damage. However, uncertainties in external loading conditions due to the stochastic nature of hydrodynamic forces pose challenges, necessitating innovative approaches for robust estimation. In this paper, we propose a novel methodology, termed Gaussian-Fourier latent force modelling (GFLFM) for stochastic pipeline fatigue analysis, which integrates Gaussian processes (GP), random Fourier features (RFF), latent force modelling (LFM), and fatigue damage assessment. This framework combines physics-based partial differential equations (PDEs) describing the system dynamics with GP regression to infer latent input forces; it is cast to address the limitations of deterministic approaches. GFLFM facilitates the accurate prediction of subsea pipeline responses while quantifying uncertainties. The proposed GFLFM framework offers a promising avenue for modelling and predicting the behaviour of free-spanning subsea pipelines. Integrating machine learning techniques with physics-based models enables more accurate predictions while accounting for uncertainties, thereby enhancing the reliability and sustainability of offshore infrastructure design and maintenance strategies.</div></div>","PeriodicalId":8261,"journal":{"name":"Applied Ocean Research","volume":"167 ","pages":"Article 104948"},"PeriodicalIF":4.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146025758","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}
引用次数: 0
Numerical investigation of the unsteady multiphase flow around a supercavitating vehicle with scarfed gas jets 带斜向射流的超空泡飞行器非定常多相流数值研究
IF 4.4 2区 工程技术
Applied Ocean Research Pub Date : 2026-02-01 Epub Date: 2026-02-03 DOI: 10.1016/j.apor.2026.104958
Zehui Qu, Yigan Zhang, Yonghao Ye, Baiyan He, Huaping Liu
{"title":"Numerical investigation of the unsteady multiphase flow around a supercavitating vehicle with scarfed gas jets","authors":"Zehui Qu,&nbsp;Yigan Zhang,&nbsp;Yonghao Ye,&nbsp;Baiyan He,&nbsp;Huaping Liu","doi":"10.1016/j.apor.2026.104958","DOIUrl":"10.1016/j.apor.2026.104958","url":null,"abstract":"<div><div>To address tail slamming during high-speed water entry, this study proposes an active stabilization method using scarfed gas jets at the tail, enhancing vehicle attitude control through the reactive forces of the jets and the interference it generates. Numerical simulations of the supersonic gas jet flows within the natural supercavity are conducted using the RANS turbulence model coupled with the mixture multiphase flow model. The evolution of the gas-vapor-liquid multiphase flow field and nozzle thrust characteristics under different cavitation numbers and angles of attack (AOAs) are analyzed, and the potential effects and dynamic mechanisms of the scarfed jets on vehicle motion stability are investigated. The results show that jet control induces bidirectional axial expansion of the gas bubbles, thereby increasing the clearance between the vehicle tail and the cavity boundary. The asymmetric inflow modifies the operating state of the vertically opposed nozzles, leading to an underexpanded leeward jet and an overexpanded windward jet. The resulting asymmetric redistribution of wall pressure is identified as the primary source of pitching moment variation, surpassing the contribution of direct jet thrust. The scarfed gas jet promotes a nose-down restoring tendency at <em>α</em> = 2° and suppresses a nose-up overturning tendency at <em>α</em> = 4°, effectively enhancing the attitude stability of the vehicle. As the cavitation number increases, the reduction in supercavity volume, along with the wetted exhaust section and high-pressure gas accumulation on the leeward side of the tail, diminishes the control effectiveness.</div></div>","PeriodicalId":8261,"journal":{"name":"Applied Ocean Research","volume":"167 ","pages":"Article 104958"},"PeriodicalIF":4.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146185219","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}
引用次数: 0
Transforming metocean data into motion predictions: A review of very short-term predictions of floating body motions 将海洋数据转化为运动预测:对漂浮体运动的极短期预测的回顾
IF 4.4 2区 工程技术
Applied Ocean Research Pub Date : 2026-02-01 Epub Date: 2026-01-22 DOI: 10.1016/j.apor.2026.104934
Shen Mei , Shao Fei , Xu Qian , Li Jiandong , Weng Kaiqiang
{"title":"Transforming metocean data into motion predictions: A review of very short-term predictions of floating body motions","authors":"Shen Mei ,&nbsp;Shao Fei ,&nbsp;Xu Qian ,&nbsp;Li Jiandong ,&nbsp;Weng Kaiqiang","doi":"10.1016/j.apor.2026.104934","DOIUrl":"10.1016/j.apor.2026.104934","url":null,"abstract":"<div><div>This paper introduces a novel, phase-based classification framework for the very short-term prediction (VSTP) of floating body motions to resolve the ambiguities and overlaps inherent in traditional algorithm-based classifications. The proposed framework organizes existing approaches into three forecasting phases, i.e., wave-field measurement, wave-field forecasting, and wave-to-motion mapping. It identifies four major model categories: wave forecasting, hydrodynamic, adaptive filtering, and historical data–driven models. Notably, this structure clarifies the functional roles of different methodologies and resolves long-standing classification ambiguities. Furthermore, a bibliometric analysis of the literature from 2015–2025 demonstrates that research activity has increasingly shifted toward data-centric approaches. Indeed, publications on historical data–driven models increased from 8 in 2015 to 39 in 2024, corresponding to a compound annual growth rate (CAGR) of approximately 20%, while adaptive filtering models exhibited even faster growth, rising from 5 to 32 studies with a CAGR of about 25%. In contrast, wave forecasting models showed moderate growth, increasing from 2 to a peak of 15 before declining to 11, whereas hydrodynamic model studies remained relatively stable at 0–7 publications per year. Comparative performance analysis reveals that no single model consistently outperforms others across key criteria, including prediction accuracy, forecasting horizon, interpretability, and real-time applicability. Instead, future advances in VSTP are likely to rely on multi-model fusion, improved wave-sensing technologies, data augmentation for extreme sea states, and uncertainty-aware forecasting, all of which are essential for reliable deployment in safety-critical offshore operations.</div></div>","PeriodicalId":8261,"journal":{"name":"Applied Ocean Research","volume":"167 ","pages":"Article 104934"},"PeriodicalIF":4.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146036822","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}
引用次数: 0
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