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

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

New soliton wave solutions of a (2 + 1)-dimensional Sawada-Kotera equation (2+1)维Sawada-Kotera方程的新孤子波解

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.2022.03.007

Kong Debin , Hadi Rezazadeh , Najib Ullah , Javad Vahidi , Kalim U. Tariq , Lanre Akinyemi

引用次数: 8

Comparative life cycle impact assessment of offshore support vessels powered by alternative fuels for sustainable offshore wind operations using machine learning 使用机器学习对可持续海上风力发电替代燃料驱动的海上支持船的生命周期影响进行比较评估

1区工程技术

Journal of Ocean Engineering and Science Pub Date : 2023-10-01 DOI: 10.1016/j.joes.2023.10.005

Shoaib Ahmed, Tie Li, Shi Yan Li, Run Chen

引用次数: 0

Prediction of residual tensile strength of glass fiber reinforced polymer bars in harsh alkaline concrete environment using fuzzy metaheuristic models 用模糊元启发式模型预测玻璃纤维增强聚合物棒在恶劣碱性混凝土环境中的残余抗拉强度

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.2022.03.011

Mudassir Iqbal , Khalid Elbaz , Daxu Zhang , Lili Hu , Fazal E. Jalal

{"title":"Prediction of residual tensile strength of glass fiber reinforced polymer bars in harsh alkaline concrete environment using fuzzy metaheuristic models","authors":"Mudassir Iqbal , Khalid Elbaz , Daxu Zhang , Lili Hu , Fazal E. Jalal","doi":"10.1016/j.joes.2022.03.011","DOIUrl":"10.1016/j.joes.2022.03.011","url":null,"abstract":"<div><p>The long-term durability of glass fiber reinforced polymer (GFRP) bars in harsh alkaline environments is of great importance in engineering, which is reflected by the environmental reduction factor in various structural codes. The calculation of this factor requires robust models to predict the residual tensile strength of GFRP bars. Therefore, three robust metaheuristic algorithms, namely particle swarm optimization (PSO), genetic algorithm (GA), and support vector machine (SVM), were deployed in this study for achieving the best hyperparameters in the adaptive neuro-fuzzy inference system (ANFIS) in order to obtain more accurate prediction model. Various optimized models were developed to predict the tensile strength retention (TSR) of degraded GFRP rebars in typical alkaline environments (e.g., seawater sea sand concrete (SWSSC) environment in this study). The study also proposed more reliable model to predict the TSR of GFRP bars exposed to alkaline environmental conditions under accelerating laboratory aging. A total number of 715 experimental laboratory samples were collected in a form of extensive database to be trained. K-fold cross-validation was used to assess the reliability of the developed models by dividing the dataset into five equal folds. In order to analyze the efficiency of the metaheuristic algorithms, multiple statistical tests were performed. It was concluded that the ANFIS-SVM-based model is robust and accurate in predicting the TSR of conditioned GFRP bars. In the meantime, the ANFIS-PSO model also yielded reasonable results concerning the prediction of the tensile strength of GFRP bars in alkaline concrete environment. The sensitivity analysis revealed GFRP bar size, volume fraction of fibers, and pH of solution were the most influential parameters of TSR.</p></div>","PeriodicalId":48514,"journal":{"name":"Journal of Ocean Engineering and Science","volume":"8 5","pages":"Pages 546-558"},"PeriodicalIF":7.1,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48369029","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

Numerical treatment of temporal-fractional porous medium model occurring in fractured media 裂隙介质中时间分数多孔介质模型的数值处理

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.2022.02.016

R. Meher , J. Kesarwani , Z. Avazzadeh , O. Nikan

引用次数: 3

Application of polynomial chaos expansion in sensitivity analysis of towed cable parameters of the underwater towing system 多项式混沌展开在水下拖曳系统拖曳索参数敏感性分析中的应用

1区工程技术

Journal of Ocean Engineering and Science Pub Date : 2023-09-01 DOI: 10.1016/j.joes.2023.09.001

Shunzhao Cheng, Jun Wang, Jian Wang, Xiaofeng Liang, Hong Yi

{"title":"Application of polynomial chaos expansion in sensitivity analysis of towed cable parameters of the underwater towing system","authors":"Shunzhao Cheng, Jun Wang, Jian Wang, Xiaofeng Liang, Hong Yi","doi":"10.1016/j.joes.2023.09.001","DOIUrl":"https://doi.org/10.1016/j.joes.2023.09.001","url":null,"abstract":"The key to achieving the optimal design of towed cables, maintaining numerical simulation accuracy, and achieving precise control of the towed body lies in sensitivity analysis. However, the traditional global sensitivity analysis method presents challenges such as high calculation costs and low accuracy. To address these issues, this paper introduces polynomial chaos expansion (PCE) to quantitatively analyse the impact of uncertainties in physical and environmental parameters on the position and attitude of the towed cable. Latin hypercube sampling is employed to obtain sample sets of input parameters, and these samples are applied to the lumped mass method to calculate the end position coordinates of the towed cable, which serves as the output response. PCE is utilized to quantitatively compute the Sobol global sensitivity index of the towed cable parameters. The accuracy of the PCE model is verified, and the optimal degree of basis functions is selected using the bias-variance trade-off. The advantages of PCE are demonstrated by comparing it with the Monte Carlo and Morris methods. The results indicate that PCE accurately calculates the global sensitivity index of towed cable parameters even with a limited sample size. Under the condition of a fixed cable length, the position and attitude of the towed cable are sensitive to the current rate, liquid density, cable diameter, normal drag coefficient, and specific gravity. The feasibility and efficiency of PCE applied to the sensitivity analysis of towed cable parameters is verified, and recommendations for the engineering application of towed cables are summarised.","PeriodicalId":48514,"journal":{"name":"Journal of Ocean Engineering and Science","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135200205","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

Numerical simulations of 2-DOF vortex-induced vibration of a circular cylinder in two and three dimensions: a comparison study 圆柱二自由度涡激振动的二维和三维数值模拟:比较研究

IF 7.1 1区工程技术

Journal of Ocean Engineering and Science Pub Date : 2023-09-01 DOI: 10.1016/j.joes.2023.08.006

Xuepeng Fu, Shixiao Fu, Zhaolong Han, Zhibo Niu, Mengmeng Zhang, B. Zhao

引用次数: 1

Prediction of seakeeping in the early stage of conventional monohull vessels design using artificial neural network 基于人工神经网络的常规单体船舶设计前期耐波性预测

IF 7.1 1区工程技术

Journal of Ocean Engineering and Science Pub Date : 2023-08-01 DOI: 10.1016/j.joes.2022.06.033

P. Romero-Tello , J.E. Guti..rrez-Romero , B. Serv..n-Camas

{"title":"Prediction of seakeeping in the early stage of conventional monohull vessels design using artificial neural network","authors":"P. Romero-Tello , J.E. Guti..rrez-Romero , B. Serv..n-Camas","doi":"10.1016/j.joes.2022.06.033","DOIUrl":"10.1016/j.joes.2022.06.033","url":null,"abstract":"<div><p>Nowadays seakeeping is mostly analyzed by means of model testing or numerical models. Both require a significant amount of time and the exact hull geometry, and therefore seakeeping is not taken into account at the early stages of ship design. Hence the main objective of this work is the development of a seakeeping prediction tool to be used in the early stages of ship design.</p><p>This tool must be fast, accurate, and not require the exact hull shape. To this end, an artificial intelligence (AI) algorithm has been developed. This algorithm is based on Artificial Neural Networks (ANNs) and only requires a number of ship coefficients of form.</p><p>The methodology developed to obtain the predictive algorithm is presented as well as the database of ships used for training the ANN. The data were generated using a frequency domain seakeeping code based on the boundary element method (BEM). Also, the AI predictions are compared to the BEM results using both, ship hulls included and not included in the database.</p><p>As a result of this work it has been obtained an AI tool for seakeeping prediction of conventional monohull vessels</p></div>","PeriodicalId":48514,"journal":{"name":"Journal of Ocean Engineering and Science","volume":"8 4","pages":"Pages 344-366"},"PeriodicalIF":7.1,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48290990","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: 1

Impacts of climate change on seasonal extreme waves in the Northwest Atlantic using a Spatial Neural Gas clustering method 利用空间神经气体聚类方法研究气候变化对西北大西洋季节性极端海浪的影响

IF 7.1 1区工程技术

Journal of Ocean Engineering and Science Pub Date : 2023-08-01 DOI: 10.1016/j.joes.2022.06.018

Hamid Goharnejad, Will Perrie, Bash Toulany, Mike Casey, Minghong Zhang

{"title":"Impacts of climate change on seasonal extreme waves in the Northwest Atlantic using a Spatial Neural Gas clustering method","authors":"Hamid Goharnejad, Will Perrie, Bash Toulany, Mike Casey, Minghong Zhang","doi":"10.1016/j.joes.2022.06.018","DOIUrl":"10.1016/j.joes.2022.06.018","url":null,"abstract":"<div><p>Having estimates of wave climate parameters and extreme values play important roles for a variety of different societal activities, such as coastal management, design of inshore and offshore structures, marine transport, coastal recreational activities, fisheries, etc. This study investigates the efficiency of a state-of-the-art spatial neutral gas clustering method in the classification of wind/wave data and the evaluation of extreme values of significant wave heights (Hs), mean wave direction (MWD) and mean wave periods (T0) for two 39-year time periods; from 1979 to 2017 for the present climate, and from 2060 to 2098, for a future climate change scenario in the Northwest Atlantic. These data were constructed by application of a numerical model, WAVEWATCHIII™ (hereafter, WW3), to simulate the wave climate for the study area for both present and future climates. Data from the model was extracted for the wave climate, in terms of the wave parameters, specifically Hs, MWD and T0, which were analyzed and compared for winter and summer seasons, for present and future climates. In order to estimate extreme values in the study area, a Natural Gas (hereafter, NG) clustering method was applied, separate clusters were identified, and corresponding centroid points were determined. To analyze data at each centroid point, time series of wave parameters were extracted, and using standard stochastic models, such as Gumbel, exponential and Weibull distribution functions, the extreme values for 50 and 100-year return periods were estimated. Thus, the impacts of climate change on wave regimes and extreme values can be specified.</p></div>","PeriodicalId":48514,"journal":{"name":"Journal of Ocean Engineering and Science","volume":"8 4","pages":"Pages 367-385"},"PeriodicalIF":7.1,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45610424","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