Ocean Engineering最新文献_第4页

Application of the reduced-order-discrete-module hydroelastic analysis for offshore floating photovoltaic systems 降阶离散模块水弹性分析在海上浮式光伏系统中的应用

IF 4.6 2区工程技术

Ocean Engineering Pub Date : 2025-07-01 DOI: 10.1016/j.oceaneng.2025.121968

Yongkang Shi , Yanji Wei , Kuixiao Chen , Zuogang Chen

{"title":"Application of the reduced-order-discrete-module hydroelastic analysis for offshore floating photovoltaic systems","authors":"Yongkang Shi , Yanji Wei , Kuixiao Chen , Zuogang Chen","doi":"10.1016/j.oceaneng.2025.121968","DOIUrl":"10.1016/j.oceaneng.2025.121968","url":null,"abstract":"<div><div>This study applies the previously proposed Reduced-Order-Discrete-Module (RODM) method to the hydroelastic analysis of Offshore Floating Photovoltaic (OFPV) systems. The research employs a reduced-order method, coupled with multi-body hydrodynamic loads, to establish a hydroelastic analysis framework. By utilizing the penalty method to define hinge constraints between modules, a connection model with selective elastic rotation capabilities is constructed. The study simulates inhomogeneous wave fields by applying differentiated wave loads to various modules and compares the equivalent stress distributions under inhomogeneous and homogeneous wave fields. The structures with complex interconnections are simulated to demonstrate the applicability of the RODM method. The results indicate that, compared to mode superposition method and experiments, the proposed RODM method consistently predicts hydroelastic responses for both continuous and hinged structures under various wave incidence angles. The inhomogeneous wave fields significantly amplify the equivalent stresses, with stress levels increasing by approximately fivefold compared to homogeneous wave fields. Based on the SEREP-hydroelastic model, a novel equivalent stress calculation method integrating displacement-strain-stress coupling is proposed. The RODM method demonstrates significant advantages and applicability in the study of OFPV systems, particularly in addressing complex constraint optimization and inhomogeneous wave field effects.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"339 ","pages":"Article 121968"},"PeriodicalIF":4.6,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144518625","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

From managing risk to reality: A case of maritime safety in Makassar Port, Indonesia using FRAM and AIS data analysis 从管理风险到现实：印度尼西亚望加锡港海上安全案例，使用FRAM和AIS数据分析

IF 4.6 2区工程技术

Ocean Engineering Pub Date : 2025-07-01 DOI: 10.1016/j.oceaneng.2025.122012

Joe Ronald Kurniawan Bokau , Rahimuddin Samad , Youngsoo Park , Daewon Kim

{"title":"From managing risk to reality: A case of maritime safety in Makassar Port, Indonesia using FRAM and AIS data analysis","authors":"Joe Ronald Kurniawan Bokau , Rahimuddin Samad , Youngsoo Park , Daewon Kim","doi":"10.1016/j.oceaneng.2025.122012","DOIUrl":"10.1016/j.oceaneng.2025.122012","url":null,"abstract":"<div><div>As an archipelagic country, Indonesia's efforts to mitigate disparities between the eastern and western regions hinge significantly on maritime transportation and the development of key infrastructure, with Makassar Port, located in central Indonesia, playing a pivotal role in this agenda. In line with this, the Indonesian Ministry of Transportation has implemented Vessel Traffic Services (VTS) to monitor risks and enhance marine traffic safety. However, existing risk models often overlook sociotechnical variability in daily VTS operations. This study presents a new approach that combines the Functional Resonance Analysis Method (FRAM), Automatic Identification System (AIS) trajectory analysis, and the perception-based PARK model to evaluate and handle marine traffic risk. The novelty lies in quantifying function couplings identified via FRAM using real-world AIS data and visualising high-risk maritime zones. A grounding accident near Samalona Island, predicted as high-risk by the model, demonstrated the method's predictive utility. This study emphasises enhancing the reliability of sociotechnical systems, specifically port safety management. The VTS perspective assessment underscores the enhancement of reliability through proactive safety measures. This approach not only aids in preventing accidents but also fosters a culture of safety. Integrating analytics and monitoring enables stakeholders to make informed decisions and enhance maritime safety.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"339 ","pages":"Article 122012"},"PeriodicalIF":4.6,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144518754","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

Extended period time series prediction of adaptive gray-box fuel consumption for variable pitch ships based on ET-Informer 基于ET-Informer的变螺距船舶自适应灰盒燃油消耗扩展周期时间序列预测

IF 4.6 2区工程技术

Ocean Engineering Pub Date : 2025-07-01 DOI: 10.1016/j.oceaneng.2025.121939

Chaodong Hu , Yu Wang , Bo Zhou , Xu Han , Wenxin Yi , Guiyong Zhang

{"title":"Extended period time series prediction of adaptive gray-box fuel consumption for variable pitch ships based on ET-Informer","authors":"Chaodong Hu , Yu Wang , Bo Zhou , Xu Han , Wenxin Yi , Guiyong Zhang","doi":"10.1016/j.oceaneng.2025.121939","DOIUrl":"10.1016/j.oceaneng.2025.121939","url":null,"abstract":"<div><div>This paper describes an extended period time series gray-box fuel consumption prediction algorithm for variable pitch ships based on Event-Triggered Informer (ET-Informer). A white-box fuel consumption model is built by modeling ship resistance as a function of speed and pitch, then calculating the corresponding shaft power. An alternate approach is to use an innovative ET-Informer black-box algorithm which could preserve critical data features, minimize redundancy, enhance computational efficiency, extract key data to mitigate interference, and achieve extended time-series predictions. The proposed adaptive gray-box model builds on both white-box and black-box approaches, incorporating an improved Newton-Raphson-Based Optimizer (NRBO), human experience coefficients, and the Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithm to dynamically adjust weight coefficients based on model validation. This gray-box approach accelerates computation and addresses issues of singularity frequently encountered traditional algorithms. The validation is carried out based on operational datasets obtained from typical vessel operations across key maritime corridors. The findings of the study demonstrate that the proposed model is effective in performing fuel consumption optimization, thus improving fuel efficiency and its potential for practical applications.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"339 ","pages":"Article 121939"},"PeriodicalIF":4.6,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144524099","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 risk-based early warning method for offshore platform equipment based on multi-source data fusion 基于多源数据融合的海洋平台设备风险预警方法

IF 4.6 2区工程技术

Ocean Engineering Pub Date : 2025-07-01 DOI: 10.1016/j.oceaneng.2025.122029

Keyang Liu , Baoping Cai , Jeom Kee Paik

{"title":"A risk-based early warning method for offshore platform equipment based on multi-source data fusion","authors":"Keyang Liu , Baoping Cai , Jeom Kee Paik","doi":"10.1016/j.oceaneng.2025.122029","DOIUrl":"10.1016/j.oceaneng.2025.122029","url":null,"abstract":"<div><div>Risk-based early warning is a critical approach to ensuring the safety of offshore operations. Its effectiveness relies on data and information collected from the field. However, due to the diversity of data sources, the data often vary in format and characteristics, making standardization within a unified framework challenging. Moreover, inconsistencies may arise between data from different sources, and traditional data fusion techniques can yield counterintuitive results when processing conflicting information. To address these challenges, this study proposes a risk-based early warning method based on multi-source data fusion. Utilizing cloud model theory, the method systematically integrates data from three key sources: sensor monitoring, on-site inspections, and expert judgment. These are transformed into a unified basic probability assignment (BPA). An improved evidence theory incorporating the Bray-Curtis distance and information entropy is introduced to dynamically adjust the weights of BPAs from different evidence sources. Dempster's rule is then applied to sequentially fuse the data and determine the final risk warning level. A case study involving an offshore oil and gas production separator demonstrates that the proposed method effectively integrates data from multiple sources, harmonizes qualitative and quantitative information, and significantly enhances the credibility and reliability of risk warnings compared to traditional approaches.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"339 ","pages":"Article 122029"},"PeriodicalIF":4.6,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144518620","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

Physics-informed neural network for prediction of scour depth using natural frequency of monopiles 利用单桩固有频率预测冲刷深度的物理信息神经网络

IF 4.6 2区工程技术

Ocean Engineering Pub Date : 2025-07-01 DOI: 10.1016/j.oceaneng.2025.122054

Xinwei Chen , Yang Yu , Lei Liu

{"title":"Physics-informed neural network for prediction of scour depth using natural frequency of monopiles","authors":"Xinwei Chen , Yang Yu , Lei Liu","doi":"10.1016/j.oceaneng.2025.122054","DOIUrl":"10.1016/j.oceaneng.2025.122054","url":null,"abstract":"<div><div>Scour development around monopiles supporting offshore wind turbines (OWTs) poses a significant threat to the integrity of OWTs. An accurate and efficient scour depth prediction model is of great necessity to ensure the safety and reliability of offshore wind farm. This study proposes a physics-informed neural network (PINN) model for scour depth prediction, developed through inverse analysis of the natural frequency of OWT. The model incorporates physical laws into the data-driven framework through embedding the residual error of physical equations into the loss function. The physical equations are considered as the relationship between natural frequency and scour depth provided by the previous research. The grid search and cross validation techniques are used to select the hyperparameters, including the optimal number of hidden layers, neurons per layer and training epochs. The accuracy of the proposed model is rigorously validated under four distinct sand conditions: dense sand, medium compact sand, loose sand and very loose sand. Comparative analysis demonstrates that the PINN model achieves lower root mean square error (RMSE) than physical equations across all conditions, highlighting its superior accuracy and extrapolation capability. Furthermore, validation against field-monitored scour depth and natural frequency data confirms the accuracy and applicability of the PINN model.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"339 ","pages":"Article 122054"},"PeriodicalIF":4.6,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144518621","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

Thrust and power characterization of a dual-domain aquatic sUAV electric propulsion system 双域水上无人机电力推进系统的推力和功率特性

IF 4.6 2区工程技术

Ocean Engineering Pub Date : 2025-07-01 DOI: 10.1016/j.oceaneng.2025.122060

Victoria Lenze , Simon W. Miller , Alexander Spitzer , Michael Kinzel , Julia A. Cole

{"title":"Thrust and power characterization of a dual-domain aquatic sUAV electric propulsion system","authors":"Victoria Lenze , Simon W. Miller , Alexander Spitzer , Michael Kinzel , Julia A. Cole","doi":"10.1016/j.oceaneng.2025.122060","DOIUrl":"10.1016/j.oceaneng.2025.122060","url":null,"abstract":"<div><div>Aquatic small uncrewed aerial vehicles (sUAVs) are vehicles that are capable of operating in both aquatic and aerial domains. To design aquatic sUAVs, validated propulsive performance prediction methods in both air and water are required. This work investigates the static performance of an aquatic sUAV electric propulsion system (electronic speed controller, motor, and propeller) both experimentally and through multidisciplinary modeling for the purpose of developing sufficiently accurate prediction methods. The results include three sets of experimental data for use in validation: thrust and electric power collected in both air and water using a custom load-cell set-up, thrust, power, and torque derived from a conventional thrust stand, and motor torque as a function of rotational velocity found using a hysteresis dynamometer. Three fluids models of varying fidelity, structural modeling, and electrical component modeling were used to further explore the experimental data and to identify model fidelity and adjustments necessary for accurate prediction of integrated performance. The results indicate that in addition to conventional approaches to fluid dynamic analysis and motor efficiency, it is necessary to account for blade pitch deformation, thermal effects, and low electronic speed controller efficiencies in off-design cases to accurately predict system performance in the aquatic domain.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"339 ","pages":"Article 122060"},"PeriodicalIF":4.6,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144518623","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 mechanism of breathing effect and intelligent recognition method considering wellbore-formation coupling during drilling in deepwater 深水钻井过程中考虑井-层耦合的呼吸效应机理及智能识别方法

IF 4.6 2区工程技术

Ocean Engineering Pub Date : 2025-07-01 DOI: 10.1016/j.oceaneng.2025.122038

Xuerui Wang , Jingchao Li , Hao Li , Baojiang Sun , Zhiyuan Wang , Yonghai Gao

{"title":"The mechanism of breathing effect and intelligent recognition method considering wellbore-formation coupling during drilling in deepwater","authors":"Xuerui Wang , Jingchao Li , Hao Li , Baojiang Sun , Zhiyuan Wang , Yonghai Gao","doi":"10.1016/j.oceaneng.2025.122038","DOIUrl":"10.1016/j.oceaneng.2025.122038","url":null,"abstract":"<div><div>The development of deepwater oil and gas resources has become increasingly vital to meeting rising global energy demands. However, the narrow safe drilling window and complex stress environment in deepwater wells introduce significant technical challenges. One such issue is the formation breathing effect, a process involving the alternate loss and return of drilling fluid due to fracture opening and closing, which may be misinterpreted as well influx or loss, potentially leading to well control incidents. To better understand and manage this phenomenon, a specialized experimental apparatus was designed to simulate the breathing effect. A comprehensive coupled flow model was developed, accounting for unsteady wellbore flow, fracture deformation, fluid compressibility, flow resistance, and equivalent damage radius. A numerical method was proposed to solve the model and applied to field case studies. The results provided insight into the dynamic characteristics of the breathing effect. Based on these findings, a pattern recognition-based identification method was established, significantly enhancing detection accuracy. This research offers important technical support for the accurate identification and effective management of formation breathing during deepwater drilling operations, contributing to improved safety and efficiency in offshore resource development.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"339 ","pages":"Article 122038"},"PeriodicalIF":4.6,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144524098","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

Reduction of fluid forces on a circular cylinder in the laminar flow regime using a pair of airfoils 利用一对翼型减少层流状态下圆柱上的流体力

IF 4.6 2区工程技术

Ocean Engineering Pub Date : 2025-07-01 DOI: 10.1016/j.oceaneng.2025.122074

Erhan Fırat , Vedat Oruç , Rui You , Uğur Biçer , Atilla G. Devecioğlu

{"title":"Reduction of fluid forces on a circular cylinder in the laminar flow regime using a pair of airfoils","authors":"Erhan Fırat , Vedat Oruç , Rui You , Uğur Biçer , Atilla G. Devecioğlu","doi":"10.1016/j.oceaneng.2025.122074","DOIUrl":"10.1016/j.oceaneng.2025.122074","url":null,"abstract":"<div><div>Flow around the cylinder, with/without a pair of airfoils symmetrical to the cylinder's horizontal axis, was simulated for a diameter-based Reynolds number (<em>Re</em>) of 100. The objective of this numerical study is to simultaneously reduce the values of the time-averaged and fluctuating forces acting on a system consisting of a pair of airfoils and a cylinder below those of a single cylinder by using different combinations of the parameters chord (<em>c</em>), angle of rotation (<em>β</em>), angle of attack (<em>α</em>), and the shortest distance between the aerodynamic center of the airfoil and the surface of the cylinder (<em>g</em>). The values of these key parameters are determined primarily through two approaches. The first approach involves emulating the flow pattern surrounding the system to match the potential flow pattern. The second approach involves disrupting the interaction between the shear layers from the cylinder by stretching them in the mean flow direction. The second approach has been demonstrated to exhibit superior performance in terms of reducing both time-averaged and fluctuating forces concurrently. The second approach has been demonstrated to exhibit superior performance in terms of reducing both time-averaged and fluctuating forces concurrently. The optimal geometrical parameters that yield the desired end results are determined to be <em>c</em> = 0.5<em>D</em>, <em>α</em> = 0°, <em>β</em> = 60°, and <em>g</em> = 0.2<em>D</em>. Utilizing these parameters has been demonstrated to result in a substantial reduction in the time-averaged drag, fluctuating drag, and fluctuating lift coefficients of the system, with the respective percentage reductions reaching 14.4 %, 92.1 %, and 73 %, respectively, when compared to the values obtained for a single cylinder.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"339 ","pages":"Article 122074"},"PeriodicalIF":4.6,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144518619","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

Meta-reinforcement learning-based collision avoidance for autonomous ship 基于元强化学习的自主船舶避碰

IF 4.6 2区工程技术

Ocean Engineering Pub Date : 2025-07-01 DOI: 10.1016/j.oceaneng.2025.122064

Xinyu Jia , Shu Gao , Wei He

{"title":"Meta-reinforcement learning-based collision avoidance for autonomous ship","authors":"Xinyu Jia , Shu Gao , Wei He","doi":"10.1016/j.oceaneng.2025.122064","DOIUrl":"10.1016/j.oceaneng.2025.122064","url":null,"abstract":"<div><div>Collision avoidance is critical for intelligent ship navigation. Ships encounter a variety of complex scenarios in real-world navigation environments, which requires improvements in the adaptability and effectiveness of collision avoidance policies. Therefore, we have innovatively proposed a meta-reinforcement learning method for solving ship collision avoidance. Inspired by meta-learning, we designed a two-layered recurrent model to enhance the adaptability and effectiveness of collision avoidance policies. Then, we created a task sampling method to train vessel agents in making collision avoidance decisions for high-risk encounter situations. The objective function and the policy gradient method for risk assessment are designed to enable vessel agents to thoroughly evaluate the risk situation of the current encounter scenario and optimize the collision avoidance policy. Lastly, we conducted simulation experiments to validate the feasibility of our work. The results indicate that collision avoidance policies outperform various comparative methods, exhibiting competitive advantages in adaptability, effectiveness, and safety in diverse encounter scenarios. Overall, our novel method provides a safer solution to enhance intelligent ship navigation.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"339 ","pages":"Article 122064"},"PeriodicalIF":4.6,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144518624","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

Scale effects on the resistance and propulsion characteristics of the Japan Bulk Carrier 日本散货船阻力与推进特性的尺度效应

IF 4.6 2区工程技术

Ocean Engineering Pub Date : 2025-07-01 DOI: 10.1016/j.oceaneng.2025.122059

Carlo Giorgio Grlj, Nastia Degiuli, Ivana Martić

{"title":"Scale effects on the resistance and propulsion characteristics of the Japan Bulk Carrier","authors":"Carlo Giorgio Grlj, Nastia Degiuli, Ivana Martić","doi":"10.1016/j.oceaneng.2025.122059","DOIUrl":"10.1016/j.oceaneng.2025.122059","url":null,"abstract":"<div><div>The scale effects on the propulsion characteristics of the Japan Bulk Carrier were investigated using numerical simulations of resistance and self-propulsion tests. The mathematical model was based on Reynolds-averaged Navier Stokes equations and for the closure of the governing equations, the SST <span><math><mrow><mi>k</mi><mo>−</mo><mi>ω</mi></mrow></math></span> turbulence model was used. The effects of the rotating propeller were modelled using the body force propeller method. Numerical simulations were systematically conducted across four scales ranging from model to full scale and for a wide range of speeds. Additional numerical simulations were performed at model scale with virtual fluid to satisfy both Froude and Reynolds similarity. A verification study was performed to assess numerical uncertainties, while a validation study was conducted using available experimental data. The obtained numerical results enable a detailed investigation of scale effects on ship resistance and propulsion characteristics. Significant scale effects were observed on the integral value of the nominal wake and the radial distribution of the non-dimensional axial velocity. Additionally, scale effects were shown on the wake fraction and hull efficiency, whereas the scale effects on the thrust deduction fraction and the quasi-propulsive efficiency were minimal. The differences between the numerical results obtained using the virtual fluid method and those at full scale with real fluid fall within the bounds of numerical uncertainty.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"339 ","pages":"Article 122059"},"PeriodicalIF":4.6,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144518753","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