Seakeeping assessment of fishing vessels in conceptual design stage

The main idea of this paper is to identify functional relations between seakeeping characteristics and hull form parameters of Mediterranean fishing vessels. Multiple regression analysis is used for quantitative assessment through a computer software that is based on the SQL Server Database. The seakeeping attributes under investigation are the transfer functions of heave and pitch motions and of absolute vertical acceleration at stern, while the ship parameters influencing motion dynamics have been classified into two groups: displacement (Δ) and main dimensions (L, B, T), coefficients that define the details of the hull form (C_WP, C_VP, LCB, LCF, etc.).Four multiple regression models having different parameter combinations are here investigated and discussed, giving way to the so-called ‘Simple Model’, ‘Intermediate Model’, ‘Enhanced 1 Model’ and ‘Enhanced 2 Model’. The obtained results are more than satisfactory for seakeeping predictions during the conceptual design stage.     

Reliability-based comparative study for mooring lines design criteria

The characteristic environmental load effect for the design of mooring systems of floating units can be defined by means of three procedures: (a) the one associated to an extreme sea state with a given return period, (b) the worst one from a set of sea states on a contour line associated to a return period or (c) the extreme one based on response statistics for a long-term period. This work presents the result of a reliability-based partial safety factor calibration study for a LRFD mooring line design criteria considering the three approaches mentioned above. The calibration exercise is applied to three FPSOs considering North Sea environmental conditions and different water depths: 200, 800 and 3000 m. The mooring systems investigated take into account mooring lines made up of chains and polyester ropes. It is shown that, among all cases investigated, the design procedure based on the long-term response is the one that presents less scattered reliability indices around the target level.     

受扰线性系统的前馈-反馈最优控制

针对具有外部持续扰动的线性系统，研究前馈-反馈最优控制律的设计问题。给出了最优控制律的存在唯一性条件。并提出了最优控制律的设计算法。利用滤波器解决了前馈控制的物理不可实现问题。仿真结果表明，此算法易于实现，与传统的反馈最优控制相比对抑制外部扰动具有较强的鲁棒性。     

Design of Mooring System for Oil Storage Vessels

The floating oil storage system has been proposed as a new facility for Strategic Petroleum Reserve (SPR) in China. Mooring is one of the key technologies to ensure the safety, reliability, and performance of the oil storage system. This paper describes the concept, analysis, design and reliability of the mooring system. For mooring system design of these oil vessels, analysis is essential of the behavior of the vessel in connection with mooring facilities of nonlinear resilience. A nonlinear mathematical model for analyzing a moored vessel is established and solved. Some results of numerical simulations are presented. Assessment of the safety regarding the mooring system in terms of failure probability is carried out. Another simulation model for calculating the failure probability of the mooring system is proposed. The design parameters that have an influence on the characteristics of the failure probability have been identified. The simulation results show that the mooring system has an annual reliab     

McCreary和Fickian湍扩散形式差异的分析

用矩阵方法,求解McCreary和Fickian铅垂向湍扩散形式下,无界海洋条件时在风应力和深层浮力作用下的线性解。得出不同的湍扩散系数A情况下McCreary与Fickian湍扩散形式的流场结构。指出随湍扩散系数的增加,McCreary和Fickian湍扩散形式下u分量结构及其量值差异增大。在Fickian湍扩散形式下,能量穿越密度跃层的传递能力较强。当A=0.1cm~2s~(-3)时,在风应力和深层浮力作用下两种湍扩散形式造成流场的差异很小。提出在小湍扩散系数下,用McCreary湍扩散形式研究热带海洋环流,其结果和Fickian形式应相当一致。     

基于麦克斯韦理论的海底大地电磁探测技术

麦克斯韦理论为海底大地电磁探测技术奠定了坚实基础。大地电磁场的测量通常测取Ex，Ey，Hx，Hy,Hz。大地电磁仪的设计要点包括：高灵敏度、智能化、同步采集数据、锚系硬连接、承压密封和合理的下沉速度所观测的数据经计算机处理后，可获得被测海域的地球物理信息。     

GIS和RS技术在城市规划设计中的应用探讨

数字技术时代的到来,城市规划行业面临机遇和挑战。本文针对国内目前3S技术在城市规划管理层次应用较广而在规划设计方面应用薄弱这一现状,结合规划设计相关案例介绍GIS和RS技术在规划设计方面的辅助应用。案例选用ArcGIS软件介入规划设计的全过程,进行现状地形分析、三维模拟等辅助分析,并与Sketchup建模充分结合制作大范围三维漫游动画,辅助推敲规划建筑与周边环境相互关系,同时还充分利用GoogleEarth与Sketchup和ArcGIS之间的接口,将规划方案和建筑模型导入全球卫星影像,从而更好地辅助规划决策和公众参与等。     

基于坐标归一化和奇异值分解的直接线性变换解法

直接线性变换方法是数字摄影测量和计算机视觉领域最常用的解析处理方法之一,特别适用于未检校数码相机的三维测量,但直接线性参数间的相关性、物方控制的约束和设计矩阵元素数量级的较大差异,均可导致法矩阵严重病态,从而影响解的稳定性。本文借鉴改进的八点基本矩阵估计算法,采用基于坐标归一化和奇异值分解的解法,即首先将像点和物点坐标进行相似变换得到归一化坐标后组成法矩阵,其次利用矩阵奇异值分解方法代替常规的最小二乘方法,模拟和真实数据表明,此方法可以有效提高解算精度和稳定性。     

多频载波相位组合进行单点定位

不同于双频数据的应用,多频数据的采用对单点定位有着特殊意义,可以更好地获得其模糊度的解。基于卫星导航定位系统多频载波相位线性组合理论,研究了具有特殊意义的组合观测值及其特性。在此基础上,通过多频观测值数据的数值仿真,采用新方法进行整周模糊度快速求解。编制了基于多频载波相位组合单点定位软件,通过结果的比较分析,得出有一定实际应用意义的结论。此方法算法简单,速度快,能够满足实时导航定位的需要,具有工程应用价值。     

基于高光谱Hyperion数据的线性光谱混合模型与神经网络模型的比较

混合像元问题是定量遥感中的热点问题之一,为了改进从遥感数据中提取定量信息,人们建立了各种混合光谱分解技术,其中线性光谱混合模型和神经网络模型就是两种比较成熟的方法。以陕西省横山地区的高光谱Hyperion数据为研究基础,通过最小噪声变换(MNF)、像元纯度指数(PPI)转换和RMS误差分析的迭代方法相结合提取影像中的纯净像元作为终端端元。分别运用神经网络模型和线性光谱混合模型对影像进行光谱分解,得到各个组分的分解图像。以标准植被指数(NDVI)影像为衡量标准,选取训练样本点,分别对两种模型进行回归分析,结果显示NDVI影像与线性光谱混合模型植被分解图像的判定系数(R2=0.91)要大于其与神经网络模型的判定系数(R2=0.81)。进一步分析表明在一般情况下,线性光谱混合模型具有比神经网络模型略高的分离精度,但是神经网络模型对细部信息的提取的效果要好于线性光谱混合模型,最后提出了端元均方根误差(EAR)指数,一种新的混合像元分解的思路。