钢材在海上运输过程中发生货损的因素分析

以保证海上货物运输安全为目的,针对钢材在海上运输中的特殊性,阐述了钢材发生货损的原因,并提出了防止或减少货运事故的措施;最后分别从货物因素、环境因素、船舶因素和人为因素等4个方面对钢材在海上运输中发生货损的原因进行了分析,旨在总结钢材在运输中产生货损的规律,以期提高海上货运质量。     

2005年世界船舶市场评述及展望

文章主要对2005年的世界航运、造船市场作了总结性的回顾与分析,并对未来市场前景作了展望。     

船舶轴系校中多支承问题的研究

船舶轴系合理校中对保证轴系长期可靠运转极为重要。本文运用传递矩阵法对船舶轴系合理校中计算的多支承问题进行研究,从而进一步完善船舶轴系校中理论。     

基于系统动力学的干散货航运市场运力供给研究

运力过剩是现阶段国际干散货航运市场面临的重要难题,引起干散货航运市场持续低迷.为了揭示干散货航运市场运力供给的发展,阐述了干散货航运市场运力供给现状以及未来的发展趋势,应用系统动力学方法建立未来运力供给模型,对影响干散货航运市场运力供给的各种因素及相互制约关系进行了分析,提出了应对运力过剩问题的若干调整策略.     

Impacts of the Belt and Road Initiative in the Indian subcontinent under future port development scenarios

ABSTRACT

The aim of this paper is twofold: the first is to assess the extent to which current port development initiatives contribute to securing the status of the Port of Colombo as a regional transshipment (T/S) hub to serve the Indian subcontinent; and the second is to generate plausible future development scenarios for the maritime industry in the context of the Belt and Road Initiative (BRI). A scenario analysis method is applied to examine the past trends and to build future development scenarios. The results showed that major Indian ports have experienced a significant growth in cargo volumes and vessel traffic. South and East Indian coastal ports continue to use the Port of Colombo as a T/S port in tandem with the corridors connected to the Indian Ocean. Scenario analysis highlights the growing importance of BRI-centric land-based economic corridors, which would generate a large amount of cargos from hinterlands up to China. This would be further fueled through the Great Mekong region-driven industrialization, which would add to the west-bound maritime cargo volume. The paper concludes that the increased capital influx from China would more likely to result in a substantial development of the present port and road/rail infrastructure in Sri Lanka.     

Neural network-based fuel consumption estimation for container ships in Korea

ABSTRACT

Due to the outstanding strength of advanced machine-learning techniques, they have become increasingly common in predictive studies in recent years, particularly in predicting ship energy performance. In constructing predictive models, prior studies have mostly employed vessels’ technical parameters to establish machine-learning algorithms. To bridge this research gap and enable wider applications, this paper presents the design of a multilayer perceptron artificial neural network (MLP ANN) as a machine-learning technique to estimate ship fuel consumption. We utilized the real operational data from 100–143 container ships to estimate fuel consumption for five different container ships grouped by size. We compared the performance of two ANN models and two multiple-regression models. Four input parameters (sailing time, speed, cargo weight, and capacity) were included in the first ANN and the first regression model, while the other two models only consider two inputs from physical function. The mean absolute percentage error of the ANN models with four inputs was the smallest and less than those in extended statistical models, demonstrating the MLP’s superiority over the statistical model. The MLP ANN model can thus be applied to confirm the effectiveness of the slow-steaming method for achieving energy efficiency.     

发展广州船舶交易市场的思考

简述了大力发展广州船舶交易市场的意义,分析了广州船舶交易市场发展的有利条件和现状,探讨了市场发展缓慢的原因,为寻求发展策略提供思路.     

关于我国航运企业航运附属公司注册地税务筹划问题的探讨

税收支出是企业经营活动中的一项重要支出。对我国航运企业进行税务筹划研究,有利于降低我国航运企业税负水平,提高我国航运企业的国际竞争力。     

船舶防海盗综合机制研究

2010年全球海盗兴风作浪,被劫持船舶及人质数量均创历史新高。为引起国际社会对海盗问题的关注,国际海事组织将2011年世界海事日主题定为＂协调一致应对海盗＂。通过分析2010年海盗发展态势,本文从主管机关、航运企业、船舶及海军四方面提出切实可行的应对措施,减少海盗对航运业的影响,降低被劫持的风险。     

吃水受限的内河大型船舶航行性能综合优化方法研究

建立吃水受限的内河大型船舶航行性能综合优化的数学模型,又基于并行算法和遗传算法思想,构造了一种分层并行遗传算法,对于吃水受限的内河大型船舶航行性能综合优化问题进行了一般遗传算法、并行遗传算法和两层及三层并行遗传算法的大量优化计算,结果表明,该分层并行遗传算法计算可靠、效率高,为设计综合性能优良的内河船船型准备了良好的基础条件。