Active control for installation of underwater structures

The trend towards deepwater development requires a new approach to underwater installation of offshore structures. The present method using crane vessels has some drawbacks in operations at more than 2000 m depth. The natural period of the coupled system of the rigged structure and the crane vessel becomes longer, so that it is no longer possible to manipulate the cranes to achieve the desired positioning accuracy. This paper examines the application of an active control technique for underwater installations as one of the solutions to the present problems. An active control technique also has the advantage that it can deal with the structural flexibility which allows the structure to be large and light-weight. This structural flexibility imposes problems of suppressing the elastic responses and securing the stability of the control system. In this paper, anH _∞ controller combined with a low authority control/high authority control (LAC/HAC) feedback controller is designed for cases where structural flexibility cannot be ignored. A robust model-following controller is examined for cases where the structure can be treated as rigid. In order to confirm the control algorithm and verify the possibility of the active control installation method, basin tests are executed using two types of neutrally buoyant flexible models with ultrasound ranging systems and thrusters.     

Phase change analysis of an underwater glider propelled by the ocean＇s thermal energy

The phase change characteristic of the power source of an underwater glider propelled by the ocean＇s thermal energy is the key factor in glider attitude control. A numerical model has been established based on the enthalpy method to analyze the phase change heat transfer process under convective boundary conditions. Phase change is not an isothermal process, but one that occurs at a range of temperature. The total melting time of the material is very sensitive to the surrounding temperature. When the temperature of the surroundings decreases 8 degrees, the total melting time increases 1.8 times. But variations in surrounding temperature have little effect on the initial temperature of phase change, and the slope of the temperature time history curve remains the same. However, the temperature at which phase change is completed decreases significantly. Our research shows that the phase change process is also affected by container size, boundary conditions, and the power source＇s cross sectional area. Materials stored in 3 cylindrical containers with a diameter of 38ram needed the shortest phase change time. Our conclusions should be helpful in effective design of underwater glider power systems.     

水下航行体应用鱼类仿生推进技术的试验研究

水下仿生推进技术将是水下航行体推进技术的革命，这种推进方式是仿生学和水下航行体推进结合的产物，突破了传统的螺旋桨推进理论。初步研究了水下航行体仿生推进技术，以及波状摆动推进中C形起动模式使用不同形状尾鳍的流场结构及动力性能。一般可以将尾鳍形状划分为对称与不对称两大类，选择矩形和三角形作为这两类尾鳍的代表，对其进行了流动显示以及力矩和力测量。研究发现，两种尾鳍模型具有截然不同的流场结构：矩形会在翼尖处产生一个主涡环，而三角形会在尖角上下出现两个涡环。不同的尾迹流场结构有着不同的动力学效果。据此对比分析了不同形状的尾鳍在波状摆动推进中各自的优缺点，在此基础上进一步分析了尾鳍形状在实际工程中的应用。     

长衡客运专线速度目标值的选择

根据长衡客运专线所处位置和在路网中的作用,研究确定不同速度目标值采用的标准,以及确定长衡客运专线速度目标值应考虑的要素。     

模板式钢套箱水下承台施工质量问题及其改进措施

以龙王庙特大桥承台施工为背景,介绍了模板式钢套箱施工的基本工序与施工过程中发生的质量问题,从钢套箱模板受力计算、施工细部措施等方面对承台施工过程中的质量问题进行了分析并提出了相应的改进措施,总结了模板式钢套箱水下承台施工的经验。     

一种被动声纳目标识别数据融合方法的研究

文章首先对目标噪声信号采用五种不同的方法提取特征矢量,然后采用基于自适应遗传BP算法的神经网络分别对五种特征矢量并发地进行分类,再采用遗传算法对分类器组合过程中的多参数进行优化,最后由五种分类结果最优组合产生最终的分类结果。实验结果表明该系统具有很好的分类效果。     

基于"当前"统计模型的机动目标运动要素解算

在避碰过程中,舰船一般处于机动状态.因而,对机动目标运动要素解算的精度直接影响到避碰的效果.通过对多种模型的比较,选用了"当前"统计模型,"当前"统计模型相对于其他模型能够更为真实地反映目标的机动变化.仿真结果表明,此算法收敛迅速并有较高精度,其解算所得的目标运动要素能够满足舰船避碰等实用要求.     

水下地基形态自动监测控制系统

随着海上建筑增多,急需一种适合于远离岸线,特别是在台风时也能够准确便捷地对地基进行水下自动监测的仪器。采取了诸多措施,将测控系统和设备构成的监测系统,放在远离岸线的海底进行长期监测。经几项工程均长达一年半的监测实践表明,监测数据规律性很好、长期稳定性强、无零飘现象、通讯传输便捷而可靠。     

船用917钢抗冲击性能试验

无论金属材料或是非金属材料,其力学性能都是与应变率相关的.由于应变率历史效应以及在高速变形条件下产生绝热剪切带等不稳定性因素,使得材料对于高应变率响应的问题变得十分复杂,而一些实验方法则起到了重要作用.材料的本构关系是与水下爆炸等现象仿真研究的精度直接相关的,材料在高应变率下本构关系的确定,对水下爆炸等产生高应变率现象进行仿真研究具有重要意义.本文通过Hopkinson杆装置对船用917低磁钢进行了抗冲击性能研究,并由试验给出了仿真研究中适用的本构关系.     

机动目标跟踪典型算法评述

机动目标跟踪算法可以划分为两种：极大似然法和贝叶斯估计法，前者通过对目标量测序列的分析，采用与当前目标运动模式匹配度最高（极大似然性）的模型（包括系统模型和观测模型）对目标状态进行跟踪和估计；后者则首先假定一组模型，再根据量测序列进一步估计出其中每个模型的匹配概率，最后采用贝叶斯公式对全部或部分模型估计进行综合。在此框架下，论文对其中的一些典型算法进行总结和分析。