Journal of Marine Science and Technology最新文献

Statistical prediction for nonlinear failure function of linear loads: application to plate buckling in ship structure 线性载荷非线性失效函数的统计预测：在船舶结构板材屈曲中的应用

IF 2.6 4区工程技术

Journal of Marine Science and Technology Pub Date : 2024-08-31 DOI: 10.1007/s00773-024-01021-3

Sadaoki Matsui

{"title":"Statistical prediction for nonlinear failure function of linear loads: application to plate buckling in ship structure","authors":"Sadaoki Matsui","doi":"10.1007/s00773-024-01021-3","DOIUrl":"https://doi.org/10.1007/s00773-024-01021-3","url":null,"abstract":"This study presents a practical method for calculating the probability of exceedance (PoE) of the nonlinear failure function of the linear loads randomly fluctuating in irregular waves. In general, obtaining the exact PoE of such nonlinear quantities requires sophisticated computational method that are not well-suited for practical design. In contrast, the author in a previous study proposed a practical formula of the PoE distribution for von Mises stresses by asymptotic approximation, which can be applied when the criterion surface is ellipsoid in the stochastic variable space. Following this, the present study shows a method for calculating the PoE for a more general function of which the isosurface is expressed as a combination of ellipsoids. As a specific example of its application, this paper takes the limit state of the plates in ship structures specified in the common structural rules (CSR) and presents the calculation procedure of direct numerical integration as well as asymptotic approximation approaches. Calculation of the 1/1000 maximum expected value of the evaluation function of plates in short-term sea states using 700 actual plates in a ship structure confirms that the proposed method, which does not require integration, is in good agreement with rigorous methods using numerical integration.","PeriodicalId":16334,"journal":{"name":"Journal of Marine Science and Technology","volume":"31 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142217957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Nonlinear steering control law under input magnitude and rate constraints with exponential convergence 具有指数收敛性的输入幅度和速率约束下的非线性转向控制法

IF 2.6 4区工程技术

Journal of Marine Science and Technology Pub Date : 2024-08-28 DOI: 10.1007/s00773-024-01020-4

Rin Suyama, Satoshi Satoh, Atsuo Maki

引用次数: 0

Practical method for evaluating wind influence on autonomous ship operations (2nd report) 评估风对船舶自主运行影响的实用方法（第二次报告）

IF 2.6 4区工程技术

Journal of Marine Science and Technology Pub Date : 2024-08-28 DOI: 10.1007/s00773-024-01025-z

Atsuo Maki, Yuuki Maruyama, Leo Dostal, Kenji Sasa, Ryohei Sawada, Kouki Wakita

{"title":"Practical method for evaluating wind influence on autonomous ship operations (2nd report)","authors":"Atsuo Maki, Yuuki Maruyama, Leo Dostal, Kenji Sasa, Ryohei Sawada, Kouki Wakita","doi":"10.1007/s00773-024-01025-z","DOIUrl":"https://doi.org/10.1007/s00773-024-01025-z","url":null,"abstract":"Recently, a considerable number of research and development projects have focused on automatic vessels. A highly realistic simulator is needed to validate control algorithms for autonomous vessels. For instance, when considering the automatic berthing/unberthing of a vessel, the effect of wind in such low-speed operations cannot be ignored because of the low rudder performance during slow harbor maneuvers. Therefore, a simulator used to validate an automatic berthing/unberthing control algorithm should be able to reproduce the time histories of wind speed and wind direction realistically. Therefore, in our first report on this topic, to obtain the wind speed distribution, we proposed a simple algorithm to generate the time series and distribution of wind speed only from the mean wind speed. However, for wind direction, the spectral distribution could not be determined based on our literature surveys, and hence, a simple method for estimating the coefficients of the stochastic differential equation (SDE) could not be proposed. In this study, we propose a new methodology for generating the time history of wind direction based on the results of Kuwajima et al.’s work. They proposed a regression equation of the standard deviation of wind direction variation for the mean wind speed. In this study, we assumed that the wind direction distribution can be represented by a linear filter as in our previous paper, and its coefficients are derived from Kuwajima’s proposed equation. Then, as in the previous report, the time series of wind speed and wind direction can be calculated easily by analytically solving the one-dimensional SDE. The joint probability density functions of wind speed and wind direction obtained by computing them independently agree well with the measurement results.","PeriodicalId":16334,"journal":{"name":"Journal of Marine Science and Technology","volume":"63 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142227126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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 kinetic energy recovery of a buoyancy engine 浮力发动机的动能回收

IF 2.6 4区工程技术

Journal of Marine Science and Technology Pub Date : 2024-08-13 DOI: 10.1007/s00773-024-01017-z

Francisco J. Arias

引用次数: 0

Probability density function of roll amplitude for parametric rolling using moment equation 利用力矩方程计算参数滚动的滚动振幅概率密度函数

IF 2.6 4区工程技术

Journal of Marine Science and Technology Pub Date : 2024-07-25 DOI: 10.1007/s00773-024-01006-2

Yuuki Maruyama, Atsuo Maki, Leo Dostal

{"title":"Probability density function of roll amplitude for parametric rolling using moment equation","authors":"Yuuki Maruyama, Atsuo Maki, Leo Dostal","doi":"10.1007/s00773-024-01006-2","DOIUrl":"https://doi.org/10.1007/s00773-024-01006-2","url":null,"abstract":"For the ship stability estimation and ship design, it is helpful to know the probability of the roll amplitude exceeding a certain threshold. Therefore, it is necessary to obtain the probability density function of the roll amplitude. In this study, first, we derive the moment values of roll amplitude by combining the moment equations and the linearity of expectation. With this, we propose a method to estimate the probability density function of the roll amplitude by using the obtained moment values. The results of our proposed method are compared to those obtained from Monte Carlo simulations. When the higher-order cumulant neglect closure method is used, the moment values resulting from the moment equations are close to the results of corresponding Monte Carlo simulations. In addition, our proposed method for deriving the probability density function of the roll amplitude is validated by comparison with Monte Carlo simulation results. In conclusion, we can state that the proposed methods for deriving the moments and the probability density function of the roll amplitude are available for practical use cases.","PeriodicalId":16334,"journal":{"name":"Journal of Marine Science and Technology","volume":"15 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141771997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Research on hydrodynamic forces prediction of underwater vehicle based on Co-Kriging model 基于 Co-Kriging 模型的水下航行器流体动力预测研究

IF 2.6 4区工程技术

Journal of Marine Science and Technology Pub Date : 2024-07-25 DOI: 10.1007/s00773-024-01007-1

Bo Qi, Xide Cheng, Kunyu Han

引用次数: 0

Robust control of unmanned sea surface vehicle using inertial delay control 利用惯性延迟控制对无人驾驶海面飞行器进行鲁棒控制

IF 2.6 4区工程技术

Journal of Marine Science and Technology Pub Date : 2024-07-23 DOI: 10.1007/s00773-024-01012-4

Sudam D. Adlinge, Pramod D. Shendge, Dinesh D. Dhadekar

引用次数: 0

Downstream wake features of a Rood wing predicted by different turbulence models 不同湍流模型预测的 Rood 机翼下游尾流特征

IF 2.6 4区工程技术

Journal of Marine Science and Technology Pub Date : 2024-07-02 DOI: 10.1007/s00773-024-01015-1

Yieng Teen Huong, Zhi Quan Leong, Alexander Conway, Jonathan Duffy, Dev Ranmuthugala

{"title":"Downstream wake features of a Rood wing predicted by different turbulence models","authors":"Yieng Teen Huong, Zhi Quan Leong, Alexander Conway, Jonathan Duffy, Dev Ranmuthugala","doi":"10.1007/s00773-024-01015-1","DOIUrl":"https://doi.org/10.1007/s00773-024-01015-1","url":null,"abstract":"Computational fluid dynamics is used to analyze the influence of the horseshoe vortex on the wake features of a simplified geometry representing an underwater vehicle sail (i.e. Rood wing). The sail wake features are of interest as they influence the performance of the downstream components of an underwater vehicle such as the aft appendages and propeller. This paper uses the Rood wing, a generic wing body, mounted on a flat plate as its low aspect ratio is comparable to the underwater vehicle sail and there are substantial published experimental data for validation. Two main simulation schemes were adopted in this paper, i.e. the Reynolds-averaged Navier–Stokes (RANS) and hybrid RANS–large Eddy simulation (LES) incorporating several turbulence models. Both schemes were also examined in their ability to predict the downstream wake features as the literature available to date have primarily focused only on the near-field flow features around the wing root. Three main parameters were investigated including the pressure distribution along the wing’s body, the mean streamwise velocity, and its root mean square fluctuation at three different downstream planes, two in the near field and one in the far field. Results show that the RANS and the hybrid RANS–LES models are capable of predicting the wing-body pressure distribution and the paths of the horseshoe vortex (HSV) as it moves downstream with acceptable numerical dissipation. It was found that different models provided higher accuracy when compared to the experiment depending on the downstream location of the plane. The re-normalization group k-epsilon model with enhanced wall treatment (RNG KE-EN) model captured the wake properties with the highest accuracy within the near field, while further downstream (in the far field), the scale adaptive simulation (SAS) model predicted the flow field with the highest accuracy followed by the RNGKE-EN model.","PeriodicalId":16334,"journal":{"name":"Journal of Marine Science and Technology","volume":"171 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141521990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

FPSO/FLNG mooring system evaluation by Gaidai reliability method 用 Gaidai 可靠性方法评估 FPSO/FLNG 系泊系统

IF 2.6 4区工程技术

Journal of Marine Science and Technology Pub Date : 2024-06-21 DOI: 10.1007/s00773-024-01001-7

Oleg Gaidai, Jiayao Sun, Yu Cao

{"title":"FPSO/FLNG mooring system evaluation by Gaidai reliability method","authors":"Oleg Gaidai, Jiayao Sun, Yu Cao","doi":"10.1007/s00773-024-01001-7","DOIUrl":"https://doi.org/10.1007/s00773-024-01001-7","url":null,"abstract":"Floating production storage and offloading unit (FPSO) is an offshore vessel, producing, storing natural gas or crude oil, prior to oil shuttle tanker transport. The equivalent of natural gas is known as floating liquefied natural gas (FLNG). Robust prediction of the extreme mooring hawser tensions, during FPSO operations, is an important design and engineering reliability and safety concern. Excessive mooring hawser tensions may occur during certain types of offloading operations, posing potential operational risks. In this study, ANSYS-AQWA-software package has been used to model vessel dynamics, subjected to hydrodynamic wave loads, acting on FPSO or liquefied natural gas (LNG) vessel, under actual in situ environmental conditions. Experimental validation of the numerical results has been briefly discussed as well.This study presents novel multi-dimensional reliability method, based on Monte Carlo simulations (or alternatively on measurements). Proposed methodology provides accurate failure or damage risks assessment, utilizing available underlying dataset efficiently. Described approach may be well utilized at the vessel design stage, while selecting optimal vessel’s parameters, minimizing potential FPSO mooring hawser tensions. The aim of this study was to benchmark state of the art Gaidai reliability method, proposed recently; this novel methodology opens up the possibility to predict simply and efficiently failure or damage risks for non-linear multi-dimensional dynamic offshore energy system as a whole.Key advantage of the suggested methodology is its multi-dimensionality (with unlimited number of system dimensions/components/processes, all having different physical dimensions), while classic reliability methods typically are not covering dimensions higher than two.","PeriodicalId":16334,"journal":{"name":"Journal of Marine Science and Technology","volume":"44 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141509726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

MMG 3DOF model identification with uncertainty of observation and hydrodynamic maneuvering coefficients using MCMC method 使用 MCMC 方法识别具有观测和流体动力操纵系数不确定性的 MMG 3DOF 模型

IF 2.6 4区工程技术

Journal of Marine Science and Technology Pub Date : 2024-06-21 DOI: 10.1007/s00773-024-01013-3

Taiga Mitsuyuki, Kouki Kuribayashi, Ricardo Francisco Suarez Fernandez, Hyuga Shimozawa, Ryo Kakuta, Ryosuke Niki, Rintaro Matsushita

{"title":"MMG 3DOF model identification with uncertainty of observation and hydrodynamic maneuvering coefficients using MCMC method","authors":"Taiga Mitsuyuki, Kouki Kuribayashi, Ricardo Francisco Suarez Fernandez, Hyuga Shimozawa, Ryo Kakuta, Ryosuke Niki, Rintaro Matsushita","doi":"10.1007/s00773-024-01013-3","DOIUrl":"https://doi.org/10.1007/s00773-024-01013-3","url":null,"abstract":"The trajectory prediction using ship maneuverability mathematical models is one of the essential technologies implemented in autonomous surface ship. Several ship maneuverability mathematical models and each one with a particular hydrodynamic coefficient approximation using towing tank tests are existed. However, it is presented difficult to directly inverse estimate the hydrodynamic maneuvering coefficients of a ship maneuverability mathematical model from operational data consisting of ship trajectory and maneuvering operation records. This paper proposed a method for estimating the hydrodynamic maneuvering coefficients of the MMG 3DOF model using three types of time-series ship motions (surge, sway, and yaw velocity) as observed data. In the assumption of this paper, there is uncertainty in observations and the hydrodynamic maneuvering coefficients of the MMG 3DOF model. The proposed method outputs samples of the simultaneous posterior probability distribution of the hydrodynamic maneuvering coefficients by the MCMC method using the observed data and stochastic model. A robust trajectory with a wide range can be presented by conducting ship maneuvering simulations using these samples. To verify the feasibility of the proposed method, this paper conducted observation system simulation experiments (OSSE) using the KVLCC2 L7 model and applied the proposed method to several free-running model ship tests. Results showed that on the assumption that MMG 3DOF model can explain the ship's state and trajectory in real world, the proposed method can estimate the ship hydrodynamic maneuvering coefficients of the MMG 3DOF model corresponding to the observed ship trajectory and control data including the error of observed data.","PeriodicalId":16334,"journal":{"name":"Journal of Marine Science and Technology","volume":"169 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141509728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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