Approximation Method for Flare Slamming Analysis of Large Container Ships in Parametric Rolling Conditions

Since the research of flare slamming prediction is seldom when parametric rolling happens, we present an efficient approximation method for flare slamming analysis of large container ships in parametric rolling conditions. We adopt a 6-DOF weakly nonlinear time domain model to predict the ship motions of parametric rolling conditions. Unlike previous flare slamming analysis, our proposed method takes roll motion into account to calculate the impact angle and relative vertical velocity between ship sections on the bow flare and wave surface. We use the Wagner model to analyze the slamming impact forces and the slamming occurrence probability. Through numerical simulations, we investigate the maximum flare slamming pressures of a container ship for different speeds and wave conditions. To further clarify the mechanism of flare slamming phenomena in parametric rolling conditions, we also conduct real-time simulations to determine the relationship between slamming pressure and 3-DOF motions, namely roll, pitch, and heave.

Model and algorithm for container ship stowage planning based on bin-packing problem

In a general case, container ship serves many different ports on each voyage. A stowage planning for container ship made at one port must take account of the influence on subsequent ports. So the complexity of stowage planning problem increases due to its multi-ports nature. This problem is NP-hard problem. In order to reduce the computational complexity, the problem is decomposed into two sub-problems in this paper. First, container ship stowage problem (CSSP) is regarded as 'packing problem', ship-bays on the board of vessel are regarded as bins, the number of slots at each bay are taken as capacities of bins, and containers with different characteristics (homogeneous containers group) are treated as items packed. At this stage, there are two objective functions, one is to minimize the number of bays packed by containers and the other is to minimize the number of overstows. Secondly, containers assigned to each bays at first stage are allocate to special slot, the objective functions are to minimize the metacentric height, heel and overstows.The taboo search heuristics algorithm are used to solve the subproblem. The main focus of this paper is on the first subproblem. A case certifies the feasibility of the model and algorithm.

Review of containership stowage plans for full routes

Containership stowage plans are a pivotal teaches in the system of container transportation.With the increasing containers shipping,planning containership stowage has become more and more complicated.So intelligent stowage planning for containerships is of great significance.An effective stowage plan may improve efficiency of transportation system.First,the progress of containership stowage plan at home and abroad is reviewed,including the latest developments,such as the application of various optimization methods and computer techniques to the problem.Then,the complexities of the problem are discussed and areas where investigations are still needed are pointed out.This will provide a reference for further research on the subject.

Ship Size and Service Configuration in Container Shipping

This study analyzes the effect of ship size on the liner service configuration by establishing an economic model. The service configuration is characterized by the distance of service and the number of calling ports. A study ease is presented for illustration. At last such a conclusion is drawn that given a fixed profit, the ship size will change with the extension of service in the same direction, while the change rate of ship size is a little higher than that of the extension of service.

Corporate Social Responsibility and Shipping Supply Chain Risks

This study aims to investigate whether Corporate Social Responsibility(CSR)activities reduce supply chain disruptions by examining the impact of the Suez Canal obstruction on the Ever Given container ship in March 2021.This study conclude that the more responsible companies have higher returns and are less affected by this event than the less responsible companies;the less responsible companies have lower returns.The companies with better CSR have a lower impact on their supply chains when faced with disruptions in the supply chain.

Line of sight waypoint guidance for a container ship based on frequency domain identification of Nomoto model of vessel

CIFER software is used to identify steering and roll dynamics of a container ship. In this software, advanced features such as the Chirp-Z transform(CZT) and composite window optimization are applied to the time history of steering and roll dynamics to extract high quality frequency responses. From the extracted frequency responses, two linear transfer functions of Nomoto model are fitted for yaw and roll dynamics of the vessel. Based on the identified Nomoto model, a PID heading controller and a Kalman filter observer are constructed. The simulation results of heading controller for line of sight(LOS) waypoint guidance show excellent tracking of pilot inputs in the presence of wave induced motions and forces.

A Design of Information Teaching in Container Transport

The teaching design is based on the task of "Container Transport" in the course of"English for International Shipping Business", aiming to discuss Design of information teaching in Business English Class. MOSO TEACH, CFNET platform,Cartoon have been applied in the design. Informationalized teaching has brought the vividness and dramatic effect to the knowledgebased class.

A Non-geometrically Similar Model for Predicting the Wake Field of Full-scale Ships

规模效果导致在模型规模和实际轮船的 wake 地之间的大差异，并且在在预言实际轮船的表演的成穴性能和令人激动的力量测试引起差别。因此，从轮船模型的测试数据是什么时候，直接使用了预言实际轮船的表演，测试结果必须受到实验修正。这研究为壳模型的反向的设计建议一个方法。比作一个几何上类似的壳模型，修改模型产生的 wake 地接近一艘实际轮船的。一非 -- 轮船和海洋工程(KRISO ) s 容器轮船(KCS ) 的一个朝鲜研究院的几何上类似的模型被设计。数字模拟用这个模型被执行，并且它的结果与照原尺寸的计算结果相比。由非几何上类似的模型得到照原尺寸的轮船的 wake 领域的变丑方法成功地被用于 KCS。

Peripheral Challenge in Container Port System:A Case Study of Pearl River Delta

The growth of peripheral ports to dominant hubs has been well documented in North America and Europe,and has led to the elaboration of several theoretical models.However,although changes in containerization growth have been taking place in the South and East Asia in recent years,particularly in China,only a few studies have fo-cused on this region.The Pearl(Zhujiang) River Delta(PRD) has a typical port system with hub and peripheral ports,and provides an excellent case for studying the Peripheral Challenge.This paper introduces the theoretical evidence of the Hayuth model and analyzes the evolution of the container port system in the PRD with five phases:1) phase I:preconditions for change and phase II:initial container port development in the 1970s and early 1980s;2) phase III:diffusion,consolidation,and port concentration in the middle and late 1980s;3) phase IV:the load center in the 1990s;and(4) phase V:the Peripheral Challenge since the late 1990s.The results illustrate that the Shenzhen port presents mounting challenges to the Hong Kong port,descending from a transshipment hub of China to a regional load center of Southeast China.Furthermore,this paper explores five points that have led to the evolution of the port system in the PRD:1) competition in the regional port systems;2) different interested parties;3) shift of investment strategies of in-ternational terminal operators;4) integration of shipping networks and reorganization of carriers;and 5) cost-based competition.

Study on the Impact of the Panama Canal Expansion on the Distribution of Container Liner Routes

The expansion of the Panama Canal will have a profound impact on the container shipping route network, port layout and ship structure, and promote the evolution of the global shipping pattern. However, most of the research on the expansion of the Panama Canal currently stays before its real expansion, and the quantitative analysis is less and the result is not accurate, because previous research used data that expanded before. Based on the actual data after the expansion of the Panama Canal, this paper uses the dual-target route distribution model to analyze the expansion of the Panama Canal. The changes in the liner shipping plan that have a greater impact on the shipping industry will provide the relevant theoretical basis for the relevant entities. The results show that after the expansion of the Panama Canal, the largest 15,000 TEU container ship is currently deployed on the route through the Panama Canal. 6500 TEU ship type is also deployed on the route through the Panama Canal. The 8500 TEU, 10,500 TEU, and 12,500 TEU ship types are mainly deployed through the Suez Canal. On the route, such a distribution plan can maximize the benefits for the shipping company.

Global Container Crisis Impacts Economic Recovery of Africa

Global shipping has been impacted by unprecedented delays and increases in shipping costs,as ports around the world are unable to fast track the backlog of ships seeking to offload containers amid lockdowns in certain markets.

Ship Fuel and Carbon Emission Estimation Utilizing Artificial Neural Network and Data Fusion Techniques

Ship energy consumption and emission prediction are the main concern of the shipping industry for ship energy efficiency management and pollution gas emission control. And they are attracting more global attention and research interests because of the increase in global shipping trade volume. As the core of maritime transportation, a large volume of data is collected around ships such as voyage data. Due to the rapid development of computational power and the widely equipped AIS device on ships, the use of maritime big data for improving and monitoring ship’s energy efficiency is becoming possible. In this paper, a fuel consumption and carbon emission model using the artificial neural network (ANN) framework is proposed by using AIS, ship machinery, and weather data. The proposed work is a complete framework including data collection, data cleaning, data clustering and model-building methodology. To obtain the suitable parameters of the model, the number of neurons, data inputs and activate functions were tested on both AIS-based data and MRV-based data for comparison. The results show that the proposed method can provide a solid prediction of ship’s fuel consumption and carbon emissions under varying weather conditions.

Structural Characteristics and Evolution of a Weighted Sino-US Container Shipping Network

This study selected the Sino-US route data from the top 30 global container liner companies between December 1,2019,and December 29,2019,as the data source utilizing the complex network research methodology.It constructs a Sino-US container shipping network through voyage weighting and analyzes the essential structural characteristics to explore the network’s complex structural fea-tures.The network’s evolution is examined from three perspectives,namely,time,space,and event influence,aiming to comprehens-ively explore the network’s evolution mechanism.The results revealed that:1)the weighted Sino-US container shipping network exhib-its small-world and scale-free properties.Key hub ports in the United States include NEW YORK NY,SAVANNAH GA,LOS ANGELES CA,and OAKLAND CA,whereas SHANGHAI serving as the hub port in China.The geographical distribution of these hub ports is uneven.2)Concerning the evolution of the weighted Sino-US container shipping network,from a temporal perspective,the evolution of the regional structure of the entire Sino-US region and the Inland United States is in a stage of radiative expansion and de-velopment,with a need for further enhancement in competitiveness and development speed.The evolution of the regional structure of southern China and Europe is transitioning from the stage of radiative expansion and development to an advanced equilibrium stage.The shipping development in Northern China,the Western and Eastern United States,and Asia is undergoing significant changes but faces challenges of fierce competition and imbalances.From a spatial perspective,the rationality and effectiveness of the improved weighted Barrat-Barthelemy-Vespignani(BBV)model are confirmed through theoretical derivation.The applicability of the improved evolution model is verified by simulating the evolution of the weighted Sino-US container shipping network.From an event impact per-spective,the Corona Virus Disease 2019(COVID-19)pandemic has not fundamentally affected the spatial pattern of the weighted Sino-US container shipping network but has significantly impacted the network’s connectivity.The network lacks sufficient resilience and stability in emergency situations.3)Based on the analysis of the structural characteristics and evolution of the weighted Sino-US con-tainer shipping network,recommendations for network development are proposed from three aspects:emphasizing the development of hub ports,focusing on the balanced development of the network,and optimizing the layout of Chinese ports.

某大型集装箱船中间轴承故障分析与处理

某大型集装箱船为系列船,其中有2条船发生了同样的中间轴承轴瓦烧毁故障,因此开展该型船故障原因分析尤为重要。通过对推进系统的设计、安装调试和运营记录等多方面进行问题排查,并进行失效分析,还原故障的发生过程,分析故障的发生机理,从而提出了改进措施。通过故障案例分析,可为推进系统类似故障分析及处理提供经验和参考。

“一带一路”倡议对沿线国家集装箱海运连通性的影响研究

为研究“一带一路”倡议(BRI)对沿线国家集装箱海运连通性的影响,基于2010~2020年127个国家的面板数据,运用渐进双重差分法对该影响效应进行研究。研究表明,“一带一路”倡议显著地促进了中国同沿线国家之间的集装箱海运连通性,并且这种促进作用呈逐年递增的趋势。在经过平行趋势检验和一系列的稳健性检验后该结果依然是稳健的。异质性分析结果显示,“一带一路”倡议主要促进了中国同欧洲和大洋洲国家之间的集装箱海运连通性;对发展中国家的连通性具有显著的促进作用。

集装箱船典型装载工况下的重心位置估算方法

对于集装箱船结构评估中加速度公式所需重心位置进行研究。以10艘集装箱船为研究对象,选取规范校核的典型装载工况,参照《散货船和油船共同结构规范》中的公式开展重心位置对比。研究发现,采用《散货船和油船共同结构规范》中的公式所得结果与实际值相差较大,该公式不适用于集装箱船。在此基础上,中国船级社在其《集装箱船结构规范》中提出一种新的集装箱船重心位置估算公式。另选5艘集装箱船,通过将采用该估算公式所得结果与实际值相对比,验证该估算公式合理、实用。

江海直达集装箱船线型开发研究

以万吨级江海直达集装箱船为研究对象,针对其船型设计需求,结合计算流体动力学(CFD)方法开展了线型优化,优化线型首部采用低阻的隐形球首形式,尾部采用有利于螺旋桨推进效率的双尾鳍形式,经过优化形成了满足要求的优化线型。基于优化线型进行了快速性模型试验验证,模型试验结果表明,优化线型在设计吃水指定功率下航速可达13.55 kn,高于预期航速,进一步验证了该万吨级江海直达集装箱船线型开发满足设计需求。本文开发的万吨级江海直达集装箱船线型以及优化思路可为后续开展江海直达船线型优化设计提供借鉴与参考。

船舶动态驱动的碳排放时空分布规律

本文基于2018年全球集装箱船的AIS(Automatic Identification System)轨迹数据,采用自下而上的方法,计算2018年全球集装箱船的CO_(2)排放量.进一步,采用地理信息科学基础理论与技术,通过船舶排放量与地图的联动分析,挖掘集装箱船CO_(2)排放的时空分布规律,并分析主要远洋运输航线的排放特征.结果表明,2018年全球集装箱船的CO_(2)年排放量达到1.2355亿t,1月份的排放最高,而11月份排放量全年最低,在时间上呈现明显的分异特性.集装箱船月度排放的空间分布总体较为相似,排放高峰区域主要分布在靠近海岸线和主要远洋航路上,远东-欧洲航线的排放量最高.