Ocean Engineering最新文献_第7页

Multi-parameter optimization of a double-row nozzle hydraulic collection device using orthogonal analysis and CFD-DEM joint simulations 基于正交分析和CFD-DEM联合仿真的双排喷嘴水力收集装置多参数优化

IF 4.6 2区工程技术

Ocean Engineering Pub Date : 2025-04-25 DOI: 10.1016/j.oceaneng.2025.121339

Yu Dai, Anjie Wang, Xiang Zhu, Xin Huang, Yanyang Zhang

{"title":"Multi-parameter optimization of a double-row nozzle hydraulic collection device using orthogonal analysis and CFD-DEM joint simulations","authors":"Yu Dai, Anjie Wang, Xiang Zhu, Xin Huang, Yanyang Zhang","doi":"10.1016/j.oceaneng.2025.121339","DOIUrl":"10.1016/j.oceaneng.2025.121339","url":null,"abstract":"<div><div>The collection rate of the collection device in the deep-sea mining system directly affects the development prospects and economic benefits of the deep-sea mining system. Among the current mainstream hydraulic collection methods, this paper adopts orthogonal analysis and CFD-DEM joint simulation method to analyze the three parameters of front and rear nozzle aperture ratios (<em>R</em><sub><em>f</em></sub><em>-R</em><sub><em>r</em></sub>), off-bottom height (<em>H</em>) and moving speed (<em>V</em><sub><em>m</em></sub>) of the double-row nozzle collection method. A solid-liquid coupled model that accounts for both internal and external flow fields is developed. Simulation analyses are conducted to examine the effects of various factors on two-phase flow dynamics. Orthogonal analysis methods are employed to investigate the comprehensive effects of parameter variations on collection rate and collection efficiency. The results reveal that <em>H</em> exerts the most significant influence on collection rate, while <em>V</em><sub><em>m</em></sub> has the greatest impact on collection efficiency. Based on the comprehensive data, a series of recommended parameter configurations for the double-row nozzle hydraulic collection device are proposed. Additionally, further analyses of the flow field conditions and nodule movements under optimal parameter configurations are undertaken. Finally, laboratory experiments with equal-sized nodules are carried out to validate the effectiveness of the coupled simulation method.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"331 ","pages":"Article 121339"},"PeriodicalIF":4.6,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143868707","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

Quasi-static crushing and collision protective performance of an innovative steel-GFRP-foam sandwich fender: Experiment investigation and engineering application 新型钢-玻璃钢-泡沫夹层挡泥板的准静态破碎与碰撞防护性能：试验研究与工程应用

IF 4.6 2区工程技术

Ocean Engineering Pub Date : 2025-04-25 DOI: 10.1016/j.oceaneng.2025.121239

Yi Cheng , Wenwei Wang , Yanjie Xue , Zenghan Wu , Qiang Zhao

{"title":"Quasi-static crushing and collision protective performance of an innovative steel-GFRP-foam sandwich fender: Experiment investigation and engineering application","authors":"Yi Cheng , Wenwei Wang , Yanjie Xue , Zenghan Wu , Qiang Zhao","doi":"10.1016/j.oceaneng.2025.121239","DOIUrl":"10.1016/j.oceaneng.2025.121239","url":null,"abstract":"<div><div>To improve the protective performance of existing crashworthy devices, a novel steel-glass fiber reinforced polymer (GFRP)-foam sandwich fender was proposed. Quasi-static compression tests were conducted to study the crushing resistance for this fender with different foam densities. Furthermore, collision protective experiments were taken to demonstrate an effective crashworthy property of the innovative fender. A detailed numerical model was established and validated through corresponding test data. Moreover, this developed sandwich fender was applied in a full-scale ship-bridge collision simulation. Its anti-collision effectiveness in practical engineering was also evaluated. Then, the influence of the GFRP lattice configuration on the fender protective characteristic was thoroughly discussed. Quasi-static experiment results illustrated that the sandwich fender with the average foam density (50 kg/m<sup>3</sup>) owned a better crushing resistance. Collision test results showed that an efficient gradient energy-dissipating pattern was displayed in the GFRP-foam core, and a significantly prolonged impact duration could increase the personnel survival possibility in realistic collision accidents. Prototype collision simulation results revealed that this proposed fender was an excellent protective structure, especially for the composite device with a DO (dislocation orthogonal)-type GFRP lattice configuration. However, the VO (vertical orthogonal)-DO-type fender couldn't become an optimal crashworthy device, particularly in fully-loaded high-energy collisions.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"331 ","pages":"Article 121239"},"PeriodicalIF":4.6,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143868710","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

Tsunami characteristics and source estimation of the 2024 Yauca (Peru) earthquake 2024年秘鲁尤卡地震的海啸特征和震源估计

IF 4.6 2区工程技术

Ocean Engineering Pub Date : 2025-04-24 DOI: 10.1016/j.oceaneng.2025.121325

Yuchen Wang , Cesar Jiménez , Nick Moreno , Peitao Wang

{"title":"Tsunami characteristics and source estimation of the 2024 Yauca (Peru) earthquake","authors":"Yuchen Wang , Cesar Jiménez , Nick Moreno , Peitao Wang","doi":"10.1016/j.oceaneng.2025.121325","DOIUrl":"10.1016/j.oceaneng.2025.121325","url":null,"abstract":"<div><div>The 2024 Yauca earthquake occurred on June 28 as a result of the subduction of the Nazca Plate beneath the South American Plate along the Peru-Chile Trench. It generated a moderate tsunami, which was recorded by tide gauges and offshore buoys. We removed low-frequency components from the sea level elevation records and analyzed the characteristics of the tsunami waveforms. Additionally, wavelet analysis was performed to investigate the temporal variations in dominant periods. We conducted a joint inversion using tsunami data from San Juan de Marcona, Chala, and DART 32401, along with teleseismic data from 25 broadband stations. A finite-fault model of 80.0 km × 60.0 km was proposed, consisting of 8 × 6 subfaults. We changed the rupture velocity (<span><math><mrow><msub><mi>V</mi><mi>r</mi></msub></mrow></math></span>) from 1.8 to 4.2 km/s. The optimum <span><math><mrow><msub><mi>V</mi><mi>r</mi></msub></mrow></math></span> was 3.6 km/s. In this scenario, the maximum and average slip values were 0.65 and 0.27 m, respectively. The finite-fault model resulted in a seismic moment (<span><math><mrow><msub><mi>M</mi><mn>0</mn></msub></mrow></math></span>) of 4.738 × 10<sup>19</sup> Nm and a moment magnitude (<span><math><mrow><msub><mi>M</mi><mi>w</mi></msub></mrow></math></span>) of 7.05. Our proposed model can effectively reproduce the tsunami behavior along the southern coast of Peru. It helps to understand the tsunami and earthquake hazards in this region.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"331 ","pages":"Article 121325"},"PeriodicalIF":4.6,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143865100","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

Drained uplift capacity of deeply embedded horizontal circular plate anchors in sand 砂中深埋水平圆形板锚的排水上拔能力

IF 4.6 2区工程技术

Ocean Engineering Pub Date : 2025-04-24 DOI: 10.1016/j.oceaneng.2025.121259

R. Kurniadi, A. Roy, S.H. Chow, M.J. Cassidy

{"title":"Drained uplift capacity of deeply embedded horizontal circular plate anchors in sand","authors":"R. Kurniadi, A. Roy, S.H. Chow, M.J. Cassidy","doi":"10.1016/j.oceaneng.2025.121259","DOIUrl":"10.1016/j.oceaneng.2025.121259","url":null,"abstract":"<div><div>Plate anchors are an attractive anchoring solution for offshore renewable energy due to their high capacity-to-weight ratio. Estimation of anchor uplift capacity is essential to determine the required embedment depth. However, shortcomings exist in estimating the drained uplift capacity of deeply embedded plate anchors in sand. This paper presents a finite element method (FEM) analysis and a new limit equilibrium method (LEM) solution for determining the drained uplift capacity of deeply embedded horizontal circular plate anchors in sand. The FEM analysis, implementing a modified SANISAND constitutive model, is employed to simulate the behaviour of sand during anchor uplift for different embedment ratios and relative densities. The simulated failure mechanism and mobilised friction angles are subsequently used to develop the LEM solution. Compared to existing LEM solutions, the proposed solution can capture the plateau in anchor capacity with increasing embedment depth, in conjunction with the transition from a shallow to a deep failure mechanism. The key features of the proposed solution include the consideration of soil arching, thus enabling better estimation of deeply embedded anchor uplift capacity.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"331 ","pages":"Article 121259"},"PeriodicalIF":4.6,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143865099","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

Prediction of Hall anchor penetration depth using machine learning models 利用机器学习模型预测霍尔锚的穿透深度

IF 4.6 2区工程技术

Ocean Engineering Pub Date : 2025-04-24 DOI: 10.1016/j.oceaneng.2025.121269

Diwen Yang , Wenkai Wang , Minxi Zhang , Guoliang Yu

{"title":"Prediction of Hall anchor penetration depth using machine learning models","authors":"Diwen Yang , Wenkai Wang , Minxi Zhang , Guoliang Yu","doi":"10.1016/j.oceaneng.2025.121269","DOIUrl":"10.1016/j.oceaneng.2025.121269","url":null,"abstract":"<div><div>The depth of anchor penetration into the seabed is crucial for evaluating the safety of underwater structures. This study focused on predicting the penetration depth of Hall anchors. Through physical model tests and literature collection, a comprehensive database containing 336 groups of data was established, of which 122 groups of physical test data included 5 anchor masses, 11 sediment strengths, and 12 touchdown velocities. The performance of four machine learning models and three empirical formulae was evaluated in terms of prediction accuracy, stability, and generalization ability. The RFR model demonstrated the highest reliability, achieving <em>R</em><sup>2</sup> values over 95 %, with an MAE of 0.116m and an RMSE of 0.196m. The FNN and DTR models also showed high accuracy and generalization ability with R<sup>2</sup> values of 95 % and 90 %, respectively, but showed instability in random partitioning of the dataset and repeated predictions. The LR model performed poorly, while the empirical formulae had moderate performance with <em>R</em><sup>2</sup> values of approximately 60 %. These findings highlight the potential of machine learning models as effective tools for predicting anchor penetration depth and assessing subsea infrastructure.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"331 ","pages":"Article 121269"},"PeriodicalIF":4.6,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143865101","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

State-of-the-art optimization algorithms in weather routing — ship decision support systems: challenge, taxonomy, and review 最先进的优化算法在天气路线-船舶决策支持系统：挑战，分类，和审查

IF 4.6 2区工程技术

Ocean Engineering Pub Date : 2025-04-24 DOI: 10.1016/j.oceaneng.2025.121198

Yuhan Chen , Chi Zhang , Yuhan Guo , Yiyang Wang , Xiao Lang , Mingyang Zhang , Wengang Mao

{"title":"State-of-the-art optimization algorithms in weather routing — ship decision support systems: challenge, taxonomy, and review","authors":"Yuhan Chen , Chi Zhang , Yuhan Guo , Yiyang Wang , Xiao Lang , Mingyang Zhang , Wengang Mao","doi":"10.1016/j.oceaneng.2025.121198","DOIUrl":"10.1016/j.oceaneng.2025.121198","url":null,"abstract":"<div><div>Weather routing has been extensively used as a decision support system in merchant ship operations and traffic management. A critical component of such a system is the optimisation method. Over recent years, substantial research efforts have been devoted to developing voyage optimisation algorithms, either to support decision-making of weather routing in merchant shipping or to assist autonomous ships in academic research. The requirements for optimisation methods for merchant shipping differ significantly from those in academic autonomous ship applications. However, many optimisation-related terminologies and algorithms are often used arbitrarily across these two fields, easily leading to confusion. In addition, the emergence of machine learning after 2020 has shown a significant impact on the development of those optimisation algorithms. Still, we see a lack of a systematic review and in-depth summary of recent developments in the optimisation methods focused on weather routing. This paper presents an overview of recent scientific publications to show state-of-the-art research and development status and trends. Focusing on the optimisation methods used in weather routing, we clarify optimisation terminologies. In addition, we propose a general framework to develop voyage optimisation methods to summarise and categorise various developed algorithms. Then, we review scientific papers published in recent years for weather routing developments and applications. Finally, future research and outlooks are discussed for further development of weather routing algorithms.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"331 ","pages":"Article 121198"},"PeriodicalIF":4.6,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143865147","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

An adaptive robust impedance controller design for underwater object manipulation with ocean currents and waves 一种具有洋流和波浪的水下物体操纵自适应鲁棒阻抗控制器设计

IF 4.6 2区工程技术

Ocean Engineering Pub Date : 2025-04-24 DOI: 10.1016/j.oceaneng.2025.121246

Fahimeh S. Tabatabaee-Nasab, S. Ali A. Moosavian

引用次数: 0

Prediction of mooring tension of floating offshore wind turbines by CNN-LSTM-ATT and Chebyshev polynomials 基于CNN-LSTM-ATT和Chebyshev多项式的海上浮式风力机系泊张力预测

IF 4.6 2区工程技术

Ocean Engineering Pub Date : 2025-04-24 DOI: 10.1016/j.oceaneng.2025.121327

Xiwei Tang , Wei Huang , Xueyou Li , Gang Ma

{"title":"Prediction of mooring tension of floating offshore wind turbines by CNN-LSTM-ATT and Chebyshev polynomials","authors":"Xiwei Tang , Wei Huang , Xueyou Li , Gang Ma","doi":"10.1016/j.oceaneng.2025.121327","DOIUrl":"10.1016/j.oceaneng.2025.121327","url":null,"abstract":"<div><div>Offshore wind technology has emerged as a promising solution to exploit wind resources in deep waters. For floating offshore wind turbines, mooring systems are critical in maintaining station-keeping functions. Effective monitoring of mooring loads is crucial for ensuring safe and cost-efficient operation and maintenance. However, direct measurement of mooring line tensions is often costly. To address this challenge, this paper focuses on predicting mooring tensions using accessible motion data from the platform. We propose employing deep learning algorithms, specifically the advanced CNN-LSTM-ATT neural network model, to capture six-degree-of-freedom platform motions from Orcaflex under extreme sea conditions. This model shows robust predictive performance in most sea conditions. However, it faces significant challenges when dealing with short wave periods, where the strong nonlinearity and non-stationarity of the system hinder the neural network’s ability to accurately capture features and predict mooring line tensions. To overcome these challenges, we introduce two optimization methods that incorporate Chebyshev polynomials, renowned for their quick and effective capture of overall trends, particularly fitting low frequencies. These methods significantly enhance the performance of the CNN-LSTM-ATT model. The findings contribute to the real-time prediction and structural health monitoring of floating wind turbines, thereby enhancing their safety and reliability.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"331 ","pages":"Article 121327"},"PeriodicalIF":4.6,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143868845","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

Development and experimental validation of an autonomous USV berthing system with transition logic for multiple berthing maneuver strategies 具有多靠泊机动策略转换逻辑的USV自主靠泊系统的研制与实验验证

IF 4.6 2区工程技术

Ocean Engineering Pub Date : 2025-04-24 DOI: 10.1016/j.oceaneng.2025.121333

Hyuntae Bang , Dongmin Choi , Joohyun Lee , Eung-Tai Kim , Wonkeun Youn

引用次数: 0

Optimization analysis of a heaving point absorber wave energy converter in wave focusing conditions near a parabolic vertical wall 抛物面垂直壁面波聚焦条件下升沉点吸收波能转换器的优化分析

IF 4.6 2区工程技术

Ocean Engineering Pub Date : 2025-04-24 DOI: 10.1016/j.oceaneng.2025.121342

Sanghwan Heo, Weoncheol Koo, On-Bin Lee

{"title":"Optimization analysis of a heaving point absorber wave energy converter in wave focusing conditions near a parabolic vertical wall","authors":"Sanghwan Heo, Weoncheol Koo, On-Bin Lee","doi":"10.1016/j.oceaneng.2025.121342","DOIUrl":"10.1016/j.oceaneng.2025.121342","url":null,"abstract":"<div><div>Optimization analysis was conducted to maximize the power generation of a cylindrical heaving point-absorber wave energy converter (HPA-WEC) positioned in front of a bottom-mounted parabolic vertical wall, using the wave energy focusing effect. Hydrodynamic analyses were performed using a three-dimensional linear frequency-domain boundary element method (FD-BEM) developed and validated independently in previous studies. The FD-BEM was integrated into an automated optimization framework with metaheuristic algorithms. The optimization analysis assumed regular waves propagating perpendicular to the wall and considered four design variables: the position of the parabolic wall vertex, the distance between the WEC and the wall vertex, the draft of the WEC, and the power take-off damping coefficient. Various metaheuristic algorithms were used to calculate the maximum power generation of the HPA-WEC and compare the performance of each algorithm. The optimization results showed that the parabolic wall significantly improved power generation compared to a straight wall, with power increases of 34 %, 112 %, and 208 % at widths of the parabolic wall of 10 m, 20 m, and 40 m, respectively. Maximum power was achieved when the WEC was positioned near the vertex of the parabolic wall or approximately half a wavelength away. Influenced by wave interactions, the center of the WEC is located near but slightly outside the focal point of the parabolic wall. Optimization results indicate that positioning near the focal point significantly enhances power generation efficiency, emphasizing the importance of the shape of the parabolic wall and the strategic placement of the WEC.</div></div>","PeriodicalId":19403,"journal":{"name":"Ocean Engineering","volume":"331 ","pages":"Article 121342"},"PeriodicalIF":4.6,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143868847","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