一种自主水下航行器半实物仿真系统

半实物仿真(HILS)在自主水下航行器(AUV)控制系统开发过程中起着非常重要的作用.针对AUV控制系统开发测试的需要,提出一种基于AD/RTS实时仿真计算机的半实物仿真系统;该系统由AD/RTS实时仿真计算机和三轴模拟转台、水压仿真器、舵机负载模拟器等物理效应设备组成.重点讨论了AD/RTS仿真计算机和VMIC反射内存实时网络,最后给出半实物仿真运行的结果.结果表明:该仿真系统能够为控制系统提供测试环境,并作为AUV研制和实航试验的依据.     

滑油运动粘度对尾轴轴颈振动的影响研究

船舶尾轴的振动与尾轴承油膜的动态支承刚度和阻尼密切相关,互相耦合,相互激励,影响船舶航行安全性.润滑油运动粘度是影响润滑油膜的动态特性的重要因素之一,粘度的改变对尾轴的振动行为产生重要影响.文中从动力学方面研究了滑油粘度对尾轴轴颈振动的影响,得出提高润滑油粘度有利于抑制轴颈振动的结论.     

我国“零死亡愿景”交通安全理念及实施战略研究

安全是交通运输永恒的主题,事关国家经济社会的发展与稳定。围绕实现"人民满意、保障有力、世界领先"的交通强国目标,以降低交通事故率、死亡率和提高交通系统安全可靠性为导向,在深入剖析我国交通安全现状和问题基础上,总结国内外交通安全发展趋势,提出了中国"零死亡愿景"交通安全理念和实施战略,为服务交通安全强国建设提出具体对策建议。     

利用包围盒技术实现车辆的碰撞检测

本文将包围盒理论应用到实际的仿真中,设计了简单有效的算法,成功的解决车辆的相互检测,车距的测量,在此方法的基础上,本文还设计了一个简单的技巧,简化了程序的复杂度.     

Geo-Slope软件在高速铁路CFG桩沉降中的应用

采用Geo-Slope软件对高速铁路CFG桩进行分析,通过不同垫层结构、桩径、桩间距、有无桩帽和桩帽大小等设计参数对地基沉降的影响,为试验段CFG桩复合地基设计方案提供依据,并对试验段设计方案进行沉降分析.     

基于响应面法的螺旋桨多目标优化

为了探究影响螺旋桨水动力性能的因素,基于FLUENT软件和CFD滑移网格技术对标准桨DTMB 4119进行模拟,验证该方法的可靠性;应用该方法对不同螺距比、盘面比和纵倾角的Wageningen B型螺旋桨进行数值模拟,得到这3个因素对螺旋桨推力系数、扭矩系数和效率的影响规律;基于Box-Behnken方法设计三因素三水平试验组,采用响应面法建立三因素与目标函数的优化数学模型,得到三因素对螺旋桨水动力性能的耦合影响。结果表明,影响推力系数和扭矩系数的因素按影响大小排序为螺距比>盘面比>纵倾角。同时,在现有电机功率限制条件下,优化得到产生最大推力的螺旋桨参数。     

桥头搭板的新型设计

通过改进桥台搭板的设计,进一步减轻桥头跳车现象,也更加方便路面施工 。     

Key technologies of ship remote control system in inland waterways under ship-shore cooperation conditions北大核心CSCD

［Objective ］ To meet the requirements of remotely controlling ship in curved, narrow and crowded inland waterways, this paper proposes an approach that consists of CNN-based algorithms and knowledge based models under ship-shore cooperation conditions. ［Method］On the basis of analyzing the characteristics of ship-shore cooperation, the proposed approach realizes autonomous perception of the environment with visual simulation at the core and navigation decision-making control based on deep reinforcement learning, and finally constructs an artificial intelligence system composed of image deep learning processing, navigation situation cognition, route steady-state control and other functions. Remote control and short-time autonomous navigation of operating ships are realized under inland waterway conditions, and remote control of container ships and ferries is carried out. ［Results］The proposed approach is capable of replacing manual work by remote orders or independent decision-making, as well as realizing independent obstacle avoidance, with a consistent deviation of less than 20 meters. ［Conclusions］The developed prototype system carries out the remote control operation demonstration of the above ship types in such waterways as the Changhu Canal Shenzhou line and the Yangtze River, proving that a complete set of algorithms with a CNN and reinforcement learning at the core can independently extract key navigation information, construct obstacle avoidance and control awareness, and lay the foundation for inland river intelligent navigation systems. © 2022 Journal of Clinical Hepatology. All rights reserved.