Journal of Ocean Engineering and Science最新文献_第5页

Investigation of the dynamic response of a floating wind-aquaculture platform under the combined actions of wind, waves and current 浮动风力水产养殖平台在风、波浪和水流共同作用下的动态响应研究

IF 7.1 1区工程技术

Journal of Ocean Engineering and Science Pub Date : 2023-11-01 DOI: 10.1016/j.joes.2023.11.003

Qixiang Fan, Yuwang Xu, Qianhui Xie, Mengmeng Zhang, H. Ren, Tongxiao Sun

引用次数: 0

2D CNN-based multi-feature fusion detection method for the magnetic anomaly generated by submarine wake 基于二维cnn的潜艇尾流磁异常多特征融合检测方法

1区工程技术

Journal of Ocean Engineering and Science Pub Date : 2023-11-01 DOI: 10.1016/j.joes.2023.11.001

Ran Hui, Xiaofeng Liang, Chao Zuo, Zuoshuai Wang

{"title":"2D CNN-based multi-feature fusion detection method for the magnetic anomaly generated by submarine wake","authors":"Ran Hui, Xiaofeng Liang, Chao Zuo, Zuoshuai Wang","doi":"10.1016/j.joes.2023.11.001","DOIUrl":"https://doi.org/10.1016/j.joes.2023.11.001","url":null,"abstract":"A Two-Dimensional Convolutional Neural Network (2D-CNN)-based multi-feature fusion detection method is proposed to improve the detection performance of the submarine wake magnetic anomaly in view of its characteristics of low frequency and low signal-to-noise ratio (SNR). The method involves pre-processing the original signal by using the Savitzky-Golay (S–G) filter, followed by Residual Structure processing to extract the time-domain information, FFT to extract the frequency domain information and Minimum-Entropy Filter (MEF) for noise analysis. The 2D-CNN model with three processing branches is utilised for further feature extraction and signal judgement. To train the method, Simulated target signal dataset is obtained through the submarine wake magnetic anomaly simulation model, and the simulated original signal is acquired by stacking measured noise. The proposed method exhibits great detection performance for signals with different Signal-to-Noise Ratios (SNRs) and various types of noise, achieving a recognition accuracy of 90 % for signals with SNRs above -10dB. The theoretical detection range of the submarine has been increased to over 1 km, outperforming similar neural networks based on magnetic dipole models.","PeriodicalId":48514,"journal":{"name":"Journal of Ocean Engineering and Science","volume":"153 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135509793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Review of enhancement for ocean thermal energy conversion system 海洋热能转换系统改进研究进展

IF 7.1 1区工程技术

Journal of Ocean Engineering and Science Pub Date : 2023-10-01 DOI: 10.1016/j.joes.2022.03.008

Safaa Malik Abbas, Hend Dakhel Skhaal Alhassany, David Vera, Francisco Jurado

{"title":"Review of enhancement for ocean thermal energy conversion system","authors":"Safaa Malik Abbas, Hend Dakhel Skhaal Alhassany, David Vera, Francisco Jurado","doi":"10.1016/j.joes.2022.03.008","DOIUrl":"10.1016/j.joes.2022.03.008","url":null,"abstract":"<div><p>Ocean thermal energy conversion (OTEC) is a renewable energy source that uses differences in ocean water temperature between warm surface and cold depth to generate electricity. It is an essential link in the carbon neutrality chain and one of the rising sectors of the ocean energy. This paper provides an overview of studies on closed thermodynamic cycles and the numerous difficulties that OTEC technology faces. A description of the thermodynamic cycles incorporating mixed or pure working fluids, as well as the implications of different working fluids on cycle efficiency were also studied. Changes in condensing and evaporating temperatures induced by variations in heat resources affect the efficiency of cycles with pure working fluids. Several strategies, such as intermediate extraction regeneration and heat recovery of ammonia-depleted solution can increase the thermal efficiency with mixed working fluids. In addition, the impact of the ejector on the cycle's performance is examined. Finally, the efficiency-improving strategies are described and summarized. Thermodynamic efficiency can increase using suitable working fluids and taking steps to maximize the rate of ocean thermal energy. To establish which approach is the most effective, different methods have been evaluated and compared under identical operating conditions.</p></div>","PeriodicalId":48514,"journal":{"name":"Journal of Ocean Engineering and Science","volume":"8 5","pages":"Pages 533-545"},"PeriodicalIF":7.1,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43258426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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: 11

Sea surface reconstruction from marine radar images using deep convolutional neural networks 基于深度卷积神经网络的海洋雷达图像海面重建

IF 7.1 1区工程技术

Journal of Ocean Engineering and Science Pub Date : 2023-10-01 DOI: 10.1016/j.joes.2023.09.002

Mingxu Zhao , Yaokun Zheng , Zhiliang Lin

{"title":"Sea surface reconstruction from marine radar images using deep convolutional neural networks","authors":"Mingxu Zhao , Yaokun Zheng , Zhiliang Lin","doi":"10.1016/j.joes.2023.09.002","DOIUrl":"10.1016/j.joes.2023.09.002","url":null,"abstract":"<div><p>The sea surface reconstructed from radar images provides valuable information for marine operations and maritime transport. The standard reconstruction method relies on the three-dimensional fast Fourier transform (3D-FFT), which introduces empirical parameters and modulation transfer function (MTF) to correct the modulation effects that may cause errors. In light of the convolutional neural networks’ (CNN) success in computer vision tasks, this paper proposes a novel sea surface reconstruction method from marine radar images based on an end-to-end CNN model with the U-Net architecture. Synthetic radar images and sea surface elevation maps were used for training and testing. Compared to the standard reconstruction method, the CNN-based model achieved higher accuracy on the same data set, with an improved correlation coefficient between reconstructed and actual wave fields of up to 0.96-0.97, and a decreased non-dimensional root mean square error (NDRMSE) of around 0.06. The influence of training data on the deep learning model was also studied. Additionally, the impact of the significant wave height and peak period on the CNN model’s accuracy was investigated. It has been demonstrated that the accuracy will fluctuate as the wave steepness increases, but the correlation coefficient remains above 0.90, and the NDRMSE remains less than 0.11.</p></div>","PeriodicalId":48514,"journal":{"name":"Journal of Ocean Engineering and Science","volume":"8 6","pages":"Pages 647-661"},"PeriodicalIF":7.1,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S246801332300058X/pdfft?md5=157230f141b6426716a9cdd5a460c28b&pid=1-s2.0-S246801332300058X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135408844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An optimal coupling incentive mechanism concerning insider's compliance behavior towards marine information security policy 内部人遵守海洋信息安全政策行为的最优耦合激励机制

IF 7.1 1区工程技术

Journal of Ocean Engineering and Science Pub Date : 2023-10-01 DOI: 10.1016/j.joes.2022.05.023

Xiaolong Wang, Changlin Wang, Zaiguan Sun, Chunhui Wang

引用次数: 0

A numerical model for stress relaxation analysis of sealing systems in nonbonded pipe end fittings 非粘结管端管件密封系统应力松弛分析的数值模型

1区工程技术

Journal of Ocean Engineering and Science Pub Date : 2023-10-01 DOI: 10.1016/j.joes.2023.10.001

Kunpeng Chen, Mengmeng Zhang, Shixiao Fu, Bing Zhao, Chunmiao Luo

{"title":"A numerical model for stress relaxation analysis of sealing systems in nonbonded pipe end fittings","authors":"Kunpeng Chen, Mengmeng Zhang, Shixiao Fu, Bing Zhao, Chunmiao Luo","doi":"10.1016/j.joes.2023.10.001","DOIUrl":"https://doi.org/10.1016/j.joes.2023.10.001","url":null,"abstract":"Nonbonded flexible pipes consist of polymer materials that experience stress relaxation at high temperatures, which ultimately affects the sealing performance of end sealing systems. To assess stress relaxation curves under varying temperatures and pre-strains, this paper conducts both tensile and stress relaxation tests on PVDF materials. To describe the stress relaxation characteristics of these materials, the Prony series is utilized. In order to identify the parameters of the series, the paper employs the Levenberg-Marquardt method of nonlinear regression. A finite element model is established to verify the accuracy of the parameter identification method. Subsequently, the paper establishes a two-dimensional axisymmetric finite element model of the sealing system in the end fitting, while taking into account fluid pressure inside the pipeline using a pressure penetration method. The impact of stress relaxation on the sealing performance is then discussed. Finally, the paper alters the coefficients of the Prony series to explore their significance on the sealing performance of the sealing system.","PeriodicalId":48514,"journal":{"name":"Journal of Ocean Engineering and Science","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135761207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Dynamic quantitative risk assessment of LNG bunkering SIMOPs based on Bayesian network 基于贝叶斯网络的LNG加注SIMOP动态定量风险评估

IF 7.1 1区工程技术

Journal of Ocean Engineering and Science Pub Date : 2023-10-01 DOI: 10.1016/j.joes.2022.03.004

Hongjun Fan, Hossein Enshaei, Shantha Gamini Jayasinghe

{"title":"Dynamic quantitative risk assessment of LNG bunkering SIMOPs based on Bayesian network","authors":"Hongjun Fan, Hossein Enshaei, Shantha Gamini Jayasinghe","doi":"10.1016/j.joes.2022.03.004","DOIUrl":"10.1016/j.joes.2022.03.004","url":null,"abstract":"<div><p>Liquified natural gas (LNG) bunkering simultaneous operations (SIMOPs) refers to the operations (such as cargo operations, port activities and ship maintenance) occurring around LNG bunkering. SIMOPs pose new risks to LNG bunkering, because the operations are dynamically interlocked in which the occurrence probabilities of potential consequences change at different times due to commencement or completion of specific SIMOP events. However, traditional static risk assessment approaches are not able to take the dynamic nature of these new risks into account. This article proposes a dynamic quantitative risk assessment (DQRA) methodology based on the Bayesian network (BN) to develop better understanding of dynamic risks of LNG bunkering SIMOPs. The methodology is demonstrated and evaluated through a truck-to-ship LNG bunkering case study. The results and discussion of the case study validate the utility of the proposed methodology and demonstrate that BNs are efficient in performing the probability calculations and are flexible in conducting causal diagnosis. The main innovation of this work is realizing the quantification of risks at different times, which reflects the most essential time-changing characteristics of risks associated with LNG bunkering SIMOPs.</p></div>","PeriodicalId":48514,"journal":{"name":"Journal of Ocean Engineering and Science","volume":"8 5","pages":"Pages 508-526"},"PeriodicalIF":7.1,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47013829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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: 6

Diversity of wave structures to the conformable fractional dynamical model 适形分数动力模型波动结构的多样性

IF 7.1 1区工程技术

Journal of Ocean Engineering and Science Pub Date : 2023-10-01 DOI: 10.1016/j.joes.2022.04.014

U. Younas, J. Ren

{"title":"Diversity of wave structures to the conformable fractional dynamical model","authors":"U. Younas, J. Ren","doi":"10.1016/j.joes.2022.04.014","DOIUrl":"10.1016/j.joes.2022.04.014","url":null,"abstract":"<div><p>This manuscript examines the recently developed conformable three-dimensional Wazwaz–Benjamin–Bona–Mahony (3D-WBBM) equation’s dynamical behavior in terms of its spatial and temporal variables. The governing equation is stretch for the Korteweg-de-Vries equation that represents the unidirectional propagation of small amplitude long waves on the surface of hydro magnetic and acoustic waves in a channel, especially for shallow water. Solitary wave solutions of various types, such as kink and shock, as well as singleton, combined solitons, and complex solitons, are all retrieved. Additionally, solutions to hyperbolic, exponential, and trigonometric functions are obtained through the use of recently developed methods, namely the Kudryashov method (KM), the modified Kudryashov method (MKM), and the new extended direct algebraic method (NEDAM). The study conducts a comparison of our findings to well-known findings, and concludes that the solutions reached here are novel. Additionally, the earned results are sketched in different shapes to demonstrate their dynamics as a function of parameter selection. We can assert from the obtained results that the applied techniques are simple, vibrant, and quite well, and will be helpful tool for addressing more highly nonlinear issues in various of fields, especially in ocean and coastal engineering. Furthermore, our findings are first step toward understanding the structure and physical behavior of complicated structures. We anticipate that our results will be highly valuable in better understanding the waves that occur in the ocean. We feel that this work is timely and will be of interest to a wide spectrum of experts working on ocean engineering models.</p></div>","PeriodicalId":48514,"journal":{"name":"Journal of Ocean Engineering and Science","volume":"8 5","pages":"Pages 559-572"},"PeriodicalIF":7.1,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44961383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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: 11

Optimal Kalman-like filter for a class of nonlinear stochastic systems 一类非线性随机系统的最优类卡尔曼滤波器

IF 7.1 1区工程技术

Journal of Ocean Engineering and Science Pub Date : 2023-10-01 DOI: 10.1016/j.joes.2022.03.002

Shulan Kong , Yawen Sun , Huanshui Zhang

引用次数: 1

New solitary waves and exact solutions for the fifth-order nonlinear wave equation using two integration techniques 用两种积分技术求解五阶非线性波动方程的新孤立波和精确解

IF 7.1 1区工程技术

Journal of Ocean Engineering and Science Pub Date : 2023-10-01 DOI: 10.1016/j.joes.2022.02.012

Ahmed H. Arnous , Mohammad Mirzazadeh , Lanre Akinyemi , Arzu Akbulut

引用次数: 12