波浪对箱形船作用的三维耦合计算模型

为获得具有工程实用价值的港口三维船非线性波浪力的时域计算方法,该文建立了波浪对港口中船非线性作用的三维时域计算耦合模型:用欧拉方程计算船底面下的内域,用Boussinesq方程计算船侧面到港口边界的外域,两域在交界面处匹配条件是流量连续和压力相等.并进行了相关模型实验,实验结果和数值计算结果比较表明该耦合计算模型具有满意的精度.此外,该三维耦合模型数学处理简单,计算效率高,可适用于工程计算.     

半桥电路的双闭环控制系统设计与建模

设计了在电感电流连续状态下的双闭环控制系统.给出了半桥电路双闭环控制系统的Simulink模型以及仿真结果.仿真结果证明了模型的正确性,对实际应用有指导意义.     

组合预测模型在上海内河港口吞吐量预测中的应用

建立时间序列和二元线性回归的组合预测模型,对上海内河港口2010年、2015年和2020年的货物吞吐量水平进行了预测。研究发现,组合预测模型相比单个预测方法具有较高的精度,能够较准确地预测上海内河港口货物吞吐量。     

基于单变量散货船数学模型建立

分析了散货船船队发展现状及其今后的发展趋势,在对现有的船型数据资料进行整理分析的基础上,利用逐步回归计算机程序建立了散货船的数学模型。该模型的建立有利于掌握现代散货船主尺度要素变化规律,对其今后的经济论证可起指导性作用,有助于该船型的报价设计和初步设计,并可使其总体设计得到优化。     

Experimental study on the nonlinear pressure acting on a high-speed vessel in regular waves

It is well known that the hydrodynamic responses of a high-speed vessel traveling in regular head waves of even moderate wave height can show significant nonlinear behavior, and so linear statistical techniques become insufficient for predicting the statistics of responses in irregular waves. On the other hand, it has been shown that an approximate third-order Volterra model is applicable to handling the statistics of some nonlinear seakeeping problems, such as motions and vertical hull girder loads. In the present study, the focus is on the nonlinear behavior of the pressure responses of the hull surface, especially on the pressures acting on alternately wet and dry areas near the waterline and on the bow zone with high deadrise angles that may be subject to slight impact and water pile-up effects. To clarify the validity of applying Volterra modeling to this problem, a series of experiments in regular and irregular head waves were carried out, and approximate third-order and fifth-order Volterra models with the proposed algorithm for finding frequency response functions (FRFs) were applied as a means of validation. In the present article, the first part of the validation was performed using experimental data in regular waves. It was confirmed that the third-order Volterra model has adequate accuracy to simulate deterministically the variation of pressure responses in regular waves of different wave steepness up to a wave amplitude to wavelength ratio of 0.01 even for the highly nonlinear pressures acting on the above-mentioned areas of the hull surface.     

一种新的基于云模型映射关系的威胁评估方法

结合现代舰艇编队防空作战的特点,对影响目标威胁评估的各种因素进行了分析。在讨论了常用威胁评估算法优缺点的基础上,提出了一种新的基于云模型映射关系的威胁评估方法。设计了一个仿真实例,结果表明所研究的威胁评估方法具有可行性。     

珠江水系3 000吨级江海直达货船船型特点

本文针对珠江水系的经济环境及水运条件,介绍了3000吨级江海直达货船的船型特点,并介绍了在设计中需着重考虑的一些问题。     

航母编队装备体系的效能模型研究

将航母编队装备视为一个装备体系进行分析,使用串联、互补、协同3种结构要素,分析了航母编队装备体系的体系结构。根据航母编队装备体系结构和各组成装备效能,建立了评估装备体系效能的数学模型。算例表明此数学模型具有一定的有效性。     

基于杆梁模型的舰船隔振系统功率流传递特性分析

针对舰船中比较典型的静不定隔振系统,建立了柔性基础上安装4个隔振器的隔振系统物理模型。对隔振器采用杆梁模型建模,隔振上层设备采用刚体模型,导出了静不定隔振系统的动力控制方程。使用振动功率流方法对隔振系统进行了功率流分析 ,并利用Matlab进行编程计算,计算结果表明杆梁模型隔振器对上下两端的功率流的减少有明显效果,隔振器的内部共振特性对隔振系统振动功率流具有显著的影响。对主要设计参数进行了讨论,得出了具有工程指导意义的结论。     

Quantifying uncertainty in high-resolution coupled hydrodynamic-ecosystem models

Marine ecosystem models are becoming increasingly complex and sophisticated, and are being used to estimate the effects of future changes in the earth system with a view to informing important policy decisions. Despite their potential importance, far too little attention has been, and is generally, paid to model errors and the extent to which model outputs actually relate to real-world processes. With the increasing complexity of the models themselves comes an increasing complexity among model results. If we are to develop useful modelling tools for the marine environment we need to be able to understand and quantify the uncertainties inherent in the simulations. Analysing errors within highly multivariate model outputs, and relating them to even more complex and multivariate observational data, are not trivial tasks. Here we describe the application of a series of techniques, including a 2-stage self-organising map (SOM), non-parametric multivariate analysis, and error statistics, to a complex spatio-temporal model run for the period 1988–1989 in the Southern North Sea, coinciding with the North Sea Project which collected a wealth of observational data. We use model output, large spatio-temporally resolved data sets and a combination of methodologies (SOM, MDS, uncertainty metrics) to simplify the problem and to provide tractable information on model performance. The use of a SOM as a clustering tool allows us to simplify the dimensions of the problem while the use of MDS on independent data grouped according to the SOM classification allows us to validate the SOM. The combination of classification and uncertainty metrics allows us to pinpoint the variables and associated processes which require attention in each region. We recommend the use of this combination of techniques for simplifying complex comparisons of model outputs with real data, and analysis of error distributions.