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AN APPLICATION OF AGENT-BASED TRAFFIC FLOW MODEL FOR MARITIME SAFETY MANAGEMENT EVALUATION 基于AGENT的交通流模型在海事安全管理评价中的应用
IF 0.4 4区 工程技术 Q4 ENGINEERING, MARINE Pub Date : 2023-07-10 DOI: 10.5750/ijme.v165ia1.1172
Burcu Çelik, Y. Zorba
This paper aims to analyse maritime traffic safety assessment via a traffic flow simulation model. The model developed via NetLogo platform, agent-based modelling and simulation approach. And it is implemented on an open sea area, at the Aegean Sea to show its applicability. The model is verified through experiments conducted in the area. The simulation outputs give the risky locations and scores. Risky locations and risk scores in the area are determined as the outputs of the simulation runs. A traffic separation scheme is established to prove the suitability of the model as adaptable and updatable. After the scheme is implemented, it shows that the potential collision locations and scores change considerably. The developed model is convenient to simulate various conditions by changing the input parameters on maritime traffic safety
本文旨在通过交通流模拟模型分析海上交通安全评估。该模型通过NetLogo平台开发,采用基于agent的建模和仿真方法。它在爱琴海的公海区域实施,以显示其适用性。通过在该地区进行的实验验证了该模型。模拟输出给出了风险位置和分数。该区域中的风险位置和风险分数被确定为模拟运行的输出。建立了交通分离方案,证明了该模型的适应性和可更新性。该方案实施后,表明潜在碰撞位置和分数发生了显著变化。所开发的模型通过改变海上交通安全的输入参数,便于模拟各种情况
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引用次数: 0
INTELLIGENT MONITORING OF A LARGE CATAMARAN FERRY 大型双体船渡船的智能监控
IF 0.4 4区 工程技术 Q4 ENGINEERING, MARINE Pub Date : 2023-07-10 DOI: 10.5750/ijme.v165ia1.791
B. Shabani
Wave load cycles, wet-deck slamming events, accelerations and motion comfort are important considerations for high-speed catamarans operating in moderate to large waves. Although developing a hull monitoring system according to classification guidelines for such vessels is broadly acceptable, the data processing requirements for outputs such as rainflow counting, filtering, probability distribution, fatigue damage estimation and warning due to slamming can be as sophisticated to implement as the system components themselves. Advanced analytics such as machine learning and deep learning data pipelines will also create more complexities for such systems, if included. This paper provides an overview of data analytics methods and cloud computing resources for remotely monitoring motions and structural responses of a 111 m high-speed catamaran. To satisfy the data processing requirements, MATLAB Reference Architectures on Amazon Web Services (AWS) were used. Such combination enabled fast parallel computing and advanced feature engineering in a time-efficient manner. A MATLAB Production Server on AWS has been set up for near real-time analytics and execution of functions developed according to the class guidelines. A case study using Long Short‑Term Memory (LSTM) networks for ship speed and Motion Sickness Incidence (MSI) is provided and discussed. Such data architecture provides a flexible and scalable solution, leading to deeper insights through big data processing and machine learning, which supports hull monitoring functions as a service.
波浪载荷周期、湿甲板撞击事件、加速度和运动舒适性是高速双体船在中大浪中运行的重要考虑因素。尽管根据此类船舶的分类指南开发船体监测系统被广泛接受,但输出的数据处理要求,如雨流计数、过滤、概率分布、疲劳损伤估计和撞击警告,可能与系统组件本身一样复杂,难以实现。机器学习和深度学习数据管道等高级分析也将为此类系统带来更多复杂性。本文概述了用于远程监测111米高速双体船运动和结构响应的数据分析方法和云计算资源。为了满足数据处理需求,使用了Amazon Web Services (AWS)上的MATLAB参考体系结构。这样的组合使快速并行计算和先进的特征工程在时间效率的方式。在AWS上建立了MATLAB生产服务器,用于根据类指南开发的近实时分析和执行功能。提供并讨论了使用长短期记忆(LSTM)网络进行船舶速度和晕动病发生率(MSI)的案例研究。这种数据架构提供了一种灵活且可扩展的解决方案,通过大数据处理和机器学习提供更深入的见解,从而支持船体监测功能即服务。
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引用次数: 0
SEAFARER SELECTION FOR SUSTAINABLE SHIPPING: CASE STUDY FOR TURKEY 可持续航运的海员选择&以土耳其为例
IF 0.4 4区 工程技术 Q4 ENGINEERING, MARINE Pub Date : 2023-07-10 DOI: 10.5750/ijme.v165ia1.1177
U. Yıldırım, Gani Mustafa İnegol
Sustainability and safety in the maritime sector mostly relies on seafarers for ensure the safe and secure operation of ships. Selection of personnel in the maritime sector is based on a large number of criteria, and is dictated by the seafarer’s qualification and the type of ship. The present study identifies 24 criteria in the form of personal, professional, physical, and technical competencies, categorized under four main headings, and calculates the weights of these criteria in terms of their importance. It goes on to present the general seafarer criteria and the different criteria required by different types of companies, and finally presents a model that can serve as a guide the in the selection of the best seafarer depending on the ship type. The study makes use of Step-Wise Weight Assessment Ratio Analysis and Additive Ratio Assessment methods, which are multi-criteria decision making methods.
海事部门的可持续性和安全主要依靠海员来确保船舶的安全运营。海事部门人员的选择基于大量标准,并由海员的资格和船舶类型决定。本研究确定了24项个人、专业、身体和技术能力标准,分为四大类,并根据其重要性计算了这些标准的权重。接着介绍了一般海员标准和不同类型公司所需的不同标准,最后提出了一个模型,可以指导根据船舶类型选择最佳海员。本研究采用了多准则决策方法——逐步权重评估比率分析法和加性比率评估法。
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引用次数: 0
VOYAGE SPEED OPTIMIZATION USING GENETIC ALGORITHM 基于遗传算法的航行速度优化
IF 0.4 4区 工程技术 Q4 ENGINEERING, MARINE Pub Date : 2023-07-10 DOI: 10.5750/ijme.v165ia1.1200
Tarik Taspinar, Zeynep Orman
Decreasing the fuel consumption and thus greenhouse gas emissions of vessels have emerged as a critical topic for both ship operators and policymakers in recent years. The speed of vessels has long been recognized to have the highest impact on fuel consumption. The aim of this study is to develop a speed optimization model using a time-constrained genetic algorithm (GA). Subsequent to this, this paper also presents the application of machine learning regression methods in constructing a model to predict the fuel consumption of vessels. The local outlier factor algorithm is used to eliminate outliers in prediction features. The overfitting problem is observed after hyperparameter tuning in boosting and tree-based regression prediction methods. The early stopping technique is applied for overfitted models. In this study, speed is found to be the most significant feature for fuel consumption prediction. On the other hand, GA evaluation results showed that random modifications in the default speed profile could increase GA performance and thus fuel savings more than constant speed limits during voyages.
近年来,减少船舶燃料消耗,从而减少温室气体排放,已成为船舶运营商和决策者的一个关键话题。长期以来,人们一直认为船只的速度对燃料消耗的影响最大。本研究的目的是利用时间约束遗传算法(GA)建立速度优化模型。随后,本文还介绍了机器学习回归方法在构建船舶燃料消耗预测模型中的应用。使用局部异常值因子算法来消除预测特征中的异常值。在boosting和基于树的回归预测方法中,在超参数调整之后观察到过拟合问题。早期停止技术应用于过拟合模型。在这项研究中,速度被发现是预测油耗的最重要特征。另一方面,遗传算法的评估结果表明,在航行过程中,对默认速度剖面的随机修改可以提高遗传算法的性能,从而比恒定速度限制更节省燃料。
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引用次数: 0
FRACTURE SAFETY OF LIQUEFIED NATURAL GAS TANK IN CRYOGENIC CONDITIONS 低温条件下液化天然气储罐的断裂安全
IF 0.4 4区 工程技术 Q4 ENGINEERING, MARINE Pub Date : 2023-07-10 DOI: 10.5750/ijme.v165ia1.1208
G. An, Jeongung Park, Dae-Jeong Seong, I. Han
High-manganese austenitic steel has been developed as a new cryogenic steel for application in liquified natural gas (LNG) storage and fuel tanks, with improved fracture toughness and safety at cryogenic temperatures. Generally, the fracture toughness decreases at lower temperatures; therefore, cryogenic steel requires a high fracture toughness to prevent unstable fractures. This study conducted unstable ductile fracture tests with 30-mm-thick high-manganese austenitic steel and evaluated its applicability to LNG storage and fuel tanks. The ductile fracture resistance in the weld joints was evaluated, including the weld metal and heat-affected zone. The unstable fracture resistance was evaluated for different LNG tank types. It was found that high-manganese austenitic steel has excellent unstable fracture characteristics and good material performance as a cryogenic steel; therefore, it can be applied in LNG storage and fuel tanks.
高锰奥氏体钢是一种应用于液化天然气(LNG)储罐和燃料箱的新型低温钢,具有较好的低温断裂韧性和安全性。温度越低,断裂韧性越低;因此,低温钢要求具有较高的断裂韧性,以防止不稳定断裂。本研究对30mm厚高锰奥氏体钢进行了不稳定韧性断裂试验,并评估了其在LNG储罐和燃料箱中的适用性。评估了焊接接头的韧性断裂性能,包括焊缝金属和热影响区。对不同类型LNG储罐的抗不稳定断裂性能进行了评价。研究发现,高锰奥氏体钢具有优异的不稳定断裂特性和良好的低温材料性能;因此,它可以应用于液化天然气储存和燃料箱。
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引用次数: 0
METHODOLOGY APPLIED TO STUDY WATER MIST AS AN INFRARED SIGNATURE SUPPRESSOR IN MARINE GAS TURBINES 水雾作为船用燃气轮机红外信号抑制器的研究方法
IF 0.4 4区 工程技术 Q4 ENGINEERING, MARINE Pub Date : 2023-07-10 DOI: 10.5750/ijme.v165ia1.815
R. Villa Caro, R. Pérez Fernández, Julio M. Pernas Urrutia, Filiberto Hernandez
This paper proposes a methodology for the reduction of marine gas turbine exhaust gas temperatures via water mist injection into exhaust gas ducts with the aim of reducing a ship’s infrared (IR) signature. Due to the difficulty of conducting live experimental tests on warships, Computational Fluid Dynamic (CFD) techniques can be employed to predict phase interaction behaviour (water mist and exhaust gases) within gas turbine exhausts. CFD techniques attempt to find numerical solutions to the equations that govern phase interaction phenomena through the setting and resolution of mathematical models.
本文提出了一种通过在排气管道中注入水雾来降低船用燃气轮机废气温度的方法,目的是降低船舶的红外信号。由于在军舰上进行现场实验测试的困难,计算流体动力学(CFD)技术可以用于预测燃气轮机排气中的相相互作用行为(水雾和废气)。CFD技术试图通过设置和解析数学模型来找到控制相相互作用现象的方程的数值解。
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引用次数: 0
An Open Framework for Data Taxonomies in Digital Twin Ships 数字双船数据分类的开放框架
IF 0.4 4区 工程技术 Q4 ENGINEERING, MARINE Pub Date : 2023-07-10 DOI: 10.5750/ijme.v165ia1.813
Ícaro Aragão Fonseca, Henrique Murilo Gaspar
The digital twin concept describes a comprehensive model used to monitor and simulate an existing asset in nearly real-time. In a maritime context, digital twins do not yet have a wide selection of standards to support interoperability among systems, undermining users’ ability to create a cohesive digital twin that combines multiple software suites. This study proposes an open framework for organizing ship and sensor data in digital twins. The framework is based on principles of product data management, allowing use of taxonomies suitable across stages of the lifecycle up to operation, when the digital twin is deployed. We implement the framework using a web-based approach that focuses on early design and operation phases, then apply it to a case study with a research vessel. The case study outlines browsing of ship model, examples of behaviour simulations, and future monitoring of sensor measurements. We discuss how the framework might be expanded and the challenges when applying it to existing engineering practice.
数字孪生概念描述了一种全面的模型,用于近乎实时地监控和模拟现有资产。在海事环境中,数字孪生还没有广泛的标准选择来支持系统之间的互操作性,这削弱了用户创建结合多个软件套件的内聚数字孪生的能力。本研究提出了一个开放的框架,用于组织数字双胞胎中的船舶和传感器数据。该框架基于产品数据管理的原则,允许在部署数字孪生时使用适用于生命周期各个阶段直至操作阶段的分类法。我们使用基于网络的方法实施该框架,该方法侧重于早期设计和操作阶段,然后将其应用于研究船的案例研究。案例研究概述了船舶模型的浏览,行为模拟的例子,以及传感器测量的未来监测。我们将讨论如何扩展该框架以及将其应用于现有工程实践时所面临的挑战。
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引用次数: 0
EXPERIMENTAL STUDY OF A VARIABLE BUOYANCY SYSTEM FOR LOW DEPTH OPERATION 低深度作业变浮力系统的实验研究
IF 0.4 4区 工程技术 Q4 ENGINEERING, MARINE Pub Date : 2023-07-10 DOI: 10.5750/ijme.v165ia1.1203
B. K. Tiwari, D. R. Sharma, Tae-Wan Kim
Autonomous Underwater Vehicles (AUVs) are used for the underwater survey both in coastal areas and deep sea without any human intervention during their operations. However, high energy consumptions required by the thrusters of the AUV’s adversely affect their performance such as range and endurance, etc. Herein, we have presented a novel design and development of a standalone variable buoyancy system for autonomous underwater vehicle and investigated the numerical and experimental analysis of Variable Buoyancy System (VBS) in standalone mode. Design idea is based upon the ‘Pump Driven Variable Buoyancy System (PDVBS)’ using ‘Water Hydraulic Variable Buoyancy System (WHVBS)’ method to control the buoyancy using a diaphragm type positive displacement pump (PDP) with capacity of the maximum buoyancy change rate of 4.5 kg/min. Detail experimental and simulation performance of the developed VBS has been investigated. Developed VBS is tested for maximum depth of 5 m and compared the performance of the experimental and simulation results. Presented results demonstrate that designed VBS is effective in changing buoyancy and controlling heave velocities and that will result to achieve the higher range and endurance and better performance in rescue/attack operations.
无人潜航器(AUV)用于沿海地区和深海的水下调查,在操作过程中无需任何人工干预。然而,AUV推进器所需的高能耗对其航程和续航能力等性能产生了不利影响。在此,我们提出了一种用于自主水下航行器的独立可变浮力系统的新设计和开发,并研究了独立模式下可变浮力系统(VBS)的数值和实验分析。设计理念基于“泵驱动可变浮力系统(PDVBS)”,使用“水压可变浮力系统”方法,使用最大浮力变化率为4.5 kg/min的隔膜式容积泵(PDP)控制浮力。研究了所开发的VBS的详细实验和仿真性能。开发的VBS在最大深度为5m的情况下进行了测试,并比较了实验和模拟结果的性能。研究结果表明,设计的VBS在改变浮力和控制升沉速度方面是有效的,这将使其在救援/攻击行动中获得更高的航程和续航能力以及更好的性能。
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引用次数: 0
Ultimate Strength of Quasi-Isotropic Composites: ISO 12215-5:2019 Validation 准各向同性复合材料的极限强度:ISO 12215-5:2019
IF 0.4 4区 工程技术 Q4 ENGINEERING, MARINE Pub Date : 2023-04-12 DOI: 10.5750/ijme.v164ia4.1260
R. Loscombe
Discussion With the incorporation of the International Journal of Small Craft Technology into the IJME, it is always good to see papers of direct concern to the small craft design community. The process of on-going validation of scantling rule formulae is also to be welcomed. The authors are to be commended on both counts. Word count restricts comments/questions to the ultimate flexural strength of hand-laminated panels (Table 5).
讨论随着《国际小工艺技术杂志》被纳入IJME,看到小工艺设计界直接关注的论文总是很好的。正在进行的构件尺寸规则公式验证过程也值得欢迎。这两方面的作者都应受到赞扬。字数将评论/问题限制在手工层压面板的极限弯曲强度(表5)。
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引用次数: 2
Novel Approach to Robust Concept Development for Offshore Floating Systems 海上浮式系统鲁棒概念开发的新方法
IF 0.4 4区 工程技术 Q4 ENGINEERING, MARINE Pub Date : 2023-04-03 DOI: 10.5750/ijme.v164ia4.1206
P. Gallagher
This paper describes a new approach to the application of robust design optimisation to the development and selection of floating systems during concept and early-stage engineering.  The basis of the approach is to combine a genetic algorithm with an efficient non-intrusive statistical model to allow both uncertainties in modelling (intrinsic uncertainty) and requirements (extrinsic uncertainty) to be accounted for within a Robust Design Framework that directs optimisation toward unique design solutions. A particular interpretation of the Pareto design objective space enables required levels of performance margin and meaningful measures of confidence in design objectives to be achieved.  The approach can be used to provide a systematic series of optimal hull geometries (geosims) that meet the most likely variations in design requirements, and so mitigate the impact of change early in the design cycle. This paper follows on from and earlier publication (IJME648) on multi-objective, multi-discipline, optimisation and uses the same case study.
本文描述了一种在概念和早期工程期间将稳健设计优化应用于浮动系统的开发和选择的新方法。该方法的基础是将遗传算法与有效的非侵入性统计模型相结合,以允许在稳健设计框架内考虑建模中的不确定性(内在不确定性)和需求(外在不确定性),该框架将优化引向独特的设计解决方案。帕累托设计目标空间的特殊解释能够实现所需的性能裕度水平和对设计目标的有意义的置信度度量。该方法可用于提供一系列系统的最佳船体几何形状(geosim),以满足设计要求中最可能的变化,从而在设计周期的早期减轻变化的影响。本文继承了早期出版物(IJME648)中关于多目标、多学科优化的内容,并使用了相同的案例研究。
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引用次数: 0
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International Journal of Maritime Engineering
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