三峡水库回水范围研究

三峡水库成库后，重庆河段回水曲线受库区水位影响，至江津才尖灭。通过数模计算，论证三峡水库回水水面曲线重庆海关-江津段的变化及尖灭情况，供有关部门参考。     

拖航系统操纵运动仿真

采用MMG分离式船舶运动数学模型以及拖缆的悬链线模型,构建了由拖船——拖缆——被拖船组成的拖航系统操纵运动模型。通过数值计算,对该系统进行了操纵运动模拟仿真。主要的仿真项目包括拖航系统改变航向和受到小扰动时的运动。在此基础上研究了影响拖航系统航行性能的诸多因素,这些因素主要有:拖缆的长度、拖航速度、被拖船的拖航点位置。针对浅水效应给予拖航系统的影响以及通过改变PD控制参数改善拖航系统航向稳定性进行的初步探讨,得到了一系列有益的结论。     

FPSO系泊钢缆漏磁检测仪磁路设计

为了实现对FPSO系泊钢缆的有效检测,研发适合水下环境的漏磁检测仪,应用ANSOFT软件对检测仪磁路部分进行有限元仿真计算,确定了磁路部分的结构,分析各主要参数对磁化效果的影响并优化设计。试验结果证明,设计的磁路满足检测仪使用要求。     

船舶压载水处理技术

介绍了国际海事组织(IMO)颁布的国际船舶压载水及沉积物控制和管理公约、排放标准要求,以及目前主要的压载水处理技术及其特点,过滤+膜分离+充氮去氧处理工艺系统的组成、处理流程、试验结果等.     

Preparation and characterization of a new kind of nano-rod shaped polycarboxylate slump-retaining admixture using for concrete

A new kind of nano-rod shaped polycarboxylic acid slump-retaining agent was synthesized. Transmission electron microscope (TEM) experiment showed that the nano-rod was bound together as macromolecular aggregates in solution. Application performance studying suggested that this kind nano-sized polymer material had excellently plasticity-retaining performance in cement-based materials and could improve endurance performance of hardened cement-based materials distinctly. The concrete with an initial slump of 2?C9 cm could achieve 3 h plasticity-retaining performance with the help of this kind nano-rod. The product had extremely wide application value in the market.     

基于MMS的移动抄牌系统

利用多媒体信息服务技术(MMS),开发了一套架构成本低、具有劝告教育功能、保证处罚告知到达率的移动抄牌系统。通过试用,该系统能对违法停车行为区别处理、彩信告知到达率高、实时性好、减轻了交巡警内业整理的工作量,具有良好的推广前景。     

A study on dynamic response of cable-seabed interaction

A numerical method is developed to investigate the dynamic response of cable-seabed interaction in this paper. The motion of cable is described by the Lumped Parameter Method, while the seabed, unlike the prevailing simplified model of elastic foundation, is modeled as an irregular continuous rigid surface with rebound and friction existing, and the forces exerted by the seabed consist of normal counterforce and isotropic tangential Coulomb friction resistance. To describe the detailed dynamic response, two coefficients are introduced by analogy with the theory of rigid body collision with friction. The cable-seabed kinematic and dynamic contact conditions are formulated subsequently, and are used to incorporate the seabed effect into the cable dynamics to produce a set of ordinary differential governing equations. In this paper, we employ 4th order Runge-Kutta method to solve these equations. Several simulation cases are presented to illustrate the seabed effect. The results show that friction and impact have a prominent influence on the statics and dynamics of the cable.     

Regularization method and immune genetic algorithm for inverse problems of ship maneuvering

Ship maneuverability, in the field of ship engineering, is often predicted by maneuvering motion group MMG) mathematical model. Then it is necessary to determine hydrodynamic coefficients and interaction force coefficients of the model. Based on the data of free running model test, the problem for obtaining these coefficients is called inverse one. For the inverse problem, ill-oposedness is inherent, nonlinearity and great computation happen,and the computation is also insensitive, unstable and time-consuming. In the paper, a regnlarization method is introduced to solve ill-posed problem and genetic algorithm is used for nonlinear motion of ship maneuvering. In addition, the immunity is applied to solve the prematurity, to promote the global searching ability and to increase the converging speed. The combination of regnlarization method and immune genetic algorithm(RIGA) applied in MMG mathematical model, showed rapid converging speed and good stability.     

A study of maneuvering control for an air cushion vehicle based on back propagation neural network

A back propagation (BP) neural network mathematical model was established to investigate the maneuvering control of an air cushion vehicle (ACV). The calculation was based on four-freedom-degree model experiments of hydrodynamics and aerodynamics. It is necessary for the ACV to control the velocity and the yaw rate as well as the velocity angle at the same time. The yaw rate and the velocity angle must be controlled correspondingly because of the whipping, which is a special characteristic for the ACV. The calculation results show that it is an efficient way for the ACV's maneuvering control by using a BP neural network to adjust PID parameters online.     

无人快速综合道路检测车系统设计

路检车是一种专用的道路检测车辆,将无人驾驶技术与道路检测技术相结合,能解决未来智慧高速上无人道路检测的难题。在对道路特征进行数据采集的过程中,需要依靠路段定位、线激光扫描路面、图像采集等技术手段,而无人驾驶车辆在自主行驶的过程中,需要依靠自身的雷达、摄像头、全球定位系统定位装置完成自主避障循迹,在车载设备方面有许多相同之处,论文设计无人快速综合道路检测车,通过融合最新的无人驾驶技术与先进的道路检测技术,实现快速无人化作业,依靠全球定位系统定位更加准确地采集道路信息,完成路面三维重建并分析路面病害的状况,是无人驾驶技术在道路检测领域的应用,为传统的路检技术带来了创新。