大型预应力混凝土箱型梁试验研究与有限元分析

在试验研究与ANSYS有限元分析相结合的基础上,对日照港一大型预应力混凝土箱型梁安全性能进行评价。ANSYS计算值与试验值吻合较好,为预应力混凝土梁的分析提供了有效的方法和途径。     

茂名港沙坝泻湖海岸泥沙运动特征分析

文章根据博贺湾的地形地貌、潮流、风浪、泥沙运动等资料,分析了沿海沙坝泻湖海岸泥沙运动特征,探讨沿海沙坝泻湖地区建设深水大港的可行性。     

小波分析的应用及其MATLAB程序实现

主要介绍几种常用的小波函数及小波分析的特点，在此基础之上又介绍了一维小波、二维小波及小波包的应用，并给出一个用MATLAB程序实现一维小波在信号奇异性检测例子。     

The relations between dry port characteristics and regional port-hinterland settings: findings for a global sample of dry ports

This paper aims at defining generic characteristics of dry ports by carrying out an analysis using a large sample of dry ports from around the world. The dataset includes details on 107 inland terminals worldwide. All dry ports in the database have been selected from studies in the extant literature before being shortlisted to fit our research scope. Data collected include terminologies used, actors driving the development, terminal throughput, total area, services provided and the relation with the corresponding seaport(s). Using statistical analysis, the paper examines how dry port parameters are influenced by (1) a different terminal set up, like sea-driven and land-driven development, developed and developing system, dry port functions; (2) specifications of the seaport with which the dry port is connected, i.e. seaport traffic, connectivity, utilization, etc. and (3) the transport leg linking dry ports and seaports. The findings could be applied to the planning and development of inland nodes from the perspectives of different stakeholders.     

Forecasting container throughput based on wavelet transforms within a decomposition-ensemble methodology: a case study of China

To improve predictive accuracy, new hybrid models are proposed for container throughput forecasting based on wavelet transforms and data characteristic analysis (DCA) within a decomposition-ensemble methodology. Because of the complexity and nonlinearity of the time series of container throughputs at ports, the methodology decomposes the original time series into several components, which are rather simpler sub-sequences. Consequently, difficult forecasting tasks are simplified into a number of relatively easier subtasks. In this way, the proposed hybrid models can improve the accuracy of forecasting significantly. In the methodology, four main steps are involved: data decomposition, component reconstruction based on the DCA, individual prediction for each reconstructed component, and ensemble prediction as the final output. An empirical analysis was conducted for illustration and verification purposes by using time series of container throughputs at three main ports in Bohai Rim, China. The results suggest that the proposed hybrid models are able to forecast better than do other benchmark models. Forecasting may facilitate effective real-time decision making for strategic management and policy drafting. Predictions of container throughput can help port managers make tactical and operational decisions, such as operations planning in ports, the scheduling of port equipment, and route optimization.     

The impact of dry port operations on container seaports competitiveness

The concepts of intermodal logistics and distribution networks have made integration of the inland freight distribution system essential for an efficient container seaport system. Inland components, such as dry ports, which exist within the seaport system, have become important in shaping the performance and competitive strategies of container seaports. Owing to the importance of interdependence between dry ports and container seaports, this paper aims to investigate the impact of dry port operations on container seaport competitiveness. It conducted an empirical study in Malaysia through 120 online surveys to key stakeholders of dry ports, including freight forwarders, shippers, seaports, rail operator, shipping lines, and haulers. The data collected were analysed using exploratory factor analysis (EFA). The results from EFA show that Malaysian dry port operations have impacts on seaport competitiveness. These include enhancing seaport performance, increasing service variations for seaports, improving seaport-hinterland proximity, increasing seaport trade volume, and enhancing seaport capacity.     

无人船在海洋调查领域的应用分析与思考

基于无人船机动灵活、安全性高、可在常规调查平台受限的水域作业的特点,将其引入海洋调查领域,作为一种新型调查平台使用。海洋调查无人船主要用于海洋环境观测和海底探测,目前其发展的关键在于如何降低平台对任务载荷的扰动,保证循线精度,提高通信系统的可靠性。根据水深、水动力和水底地形地貌等条件,将无人船工作环境分为岛礁区、滨海区、浅海区、半深海区和深海区5类;结合作业环境,以无人船的体量和吃水深度为依据,建议将其分为微型平台、小型平台、中型平台、大型平台和超大型平台,并对适配任务载荷作出分析。     

基于统计能量法的船舶板架结构简化建模方法研究

统计能量法是解决复杂结构高频动力学问题的主要方法之一,限于其分析特性,过于细致化的建模会引发其计算量大、计算精度低等问题。针对典型的船体板架结构,提出基于统计能量法的船体板架结构简化建模方法,并结合数值计算加以验证。根据实际需求,提出简化建模的等效原则,给出多平板的简化建模方法;通过研究给出周期加筋板的简化建模方法;提出一种双层底结构的简化建模方法,并进行误差分析。     

江中型LNG加注趸船旁靠系泊作业的安全性

内河LNG加注趸船是我国提出并得到实际应用的一种新船型,其适用于长江、珠江等季节水位高差变化较大的天然性水域。本文采用水动力数值分析方法,针对一艘典型的江中型LNG加注趸船,研究分析了三种不同吨级LNG动力船旁靠系泊加注趸船进行补给作业时,在风、浪、流载荷联合作用下,两船旁靠系泊水动力安全问题,并给出了三种不同吨级LNG动力船旁靠作业的限制环境条件建议值。研究结论可为实际工程操作提供有益参考。     

基于序贯代理模型的转子系统频响特性区间分析方法

在转子系统的频率响应分析中,不确定性广泛存在,并且对分析结果有较大的影响。本文提出了一种面向含区间不确定性转子系统频响分析的序贯代理模型方法。基于区间数学以及转子动力学理论,本文首先建立了含区间参数转子系统频响的控制方程。基于传统的静态代理模型提出了面向转子系统区间分析的序贯代理模型方法。该方法首先通过叫少量的样本点构造粗糙代理模型,再提出了两个指标函数进行下一阶段的选点。重复该过程,直到满足收敛条件,最终可以得到转子系统频率响应的精细代理模型,进而得到区间边界。和传统的区间分析方法相比,该方法精度高,适合非线性问题。