塌方地铁车站的后续施工方案研究

暗挖地铁车站断面较大,通常埋深较浅,施工时常发生塌方事故,且塌方纵向影响长度多达数十米。为提高塌方后续施工的安全性,结合塌方事故实例,利用风险分析和有限元计算方法,并结合现场监控量测数据,研究塌方事故影响段后续施工问题。研究结果表明:在后续施工中采用双侧壁导坑法安全可靠,"变大跨为小跨"有效控制后续施工引起的变形;从施工工法、支护措施及施工工艺等多方面制定措施,改善岩体物理性能,提高支护体系和围岩承载能力,有效控制后续施工风险。     

基于模拟退火算法的运梁车转向机构优化设计

建立了运梁车液压连杆转向机构优化数学模型。考虑车辆在转向时的各种影响因素,以转向机构转向的平稳性、传动性能、利用效率为多优化目标。利用快速的模拟退火算法进行优化求解,以避免陷入局部极值,加快收敛速度。仿真结果显示它使转向机构的综合性能得到了较大的改善。     

多轴专用汽车转向传动机构的设计

以多轴专用车为研究对象,在对转向传动机构的数学模型的分析计算的基础上,介绍了多轴汽车的转向传动机构的工作原理和设计方法。     

飞度轿车电动助力转向系统工作原理与故障诊断

论述了电动助力转向系统的优点,详细阐述了飞度轿车电动助力转向系统的组成及工作原理.从故障码读取、故障码消除和控制系统线路检测等方面,介绍了飞度轿车电动助力转向系统的故障诊断方法,并用实例加以说明.     

公路隧道支护体系自动化设计系统研究

在对公路隧道支护体系自动化设计系统研究的基础上，完成了程序的研制工作，该系统由6个子系统组成，分别为公路隧道数据库、围岩分级，支护参数初步确定，数值分析、施工图绘制和信化设计、通过试运行，取得了良好的效果。     

重载及脱空耦合状态下混凝土路面疲劳寿命分析

重载及板底脱空是引起水泥混凝土路面早期破坏最主要的2个因素,采用三维有限元方法对水泥混凝土路面在重载及板底脱空耦合状态下的应力及疲劳寿命进行了分析,结果表明,在温度、重载及脱空等几种不利因素的共同影响下,路面板受力状况急剧恶化,路面的使用寿命大大缩短,有时甚至可能产生极限破坏.     

基于网格的交通管理决策支持系统研究与设计

分析了交通信息化时代交通管理决策支持所面临的挑战，提出了充分整合现有交通信息、提高决策支持水平的解决思路。利用人工智能技术和网格技术，构建了基于网格的交通管理与决策支持系统框架。讨论了网格中间件的功能、模型和运行机制，在此基础上给出了系统的运行步骤和过程。实际应用表明，该系统交通管理决策的智能化和效率均有提高。     

日本直线电机地铁技术问答

以问答的形式,汇集了日本直线电机地铁40个典型技术问题及简要答案,涉及系统整体、线路、车辆、直线电机和感应板、转向架、牵引和制动等内容。     

Network effects of intelligent speed adaptation systems

Intelligent Speed Adaptation (ISA) systems use in-vehicle electronic devices to enable the speed of vehicles to be regulated automatically. They are increasingly appreciated as a flexible method for speed management and control particularly in urban areas. On-road trials using a small numbers of ISA equipped vehicles have been carried out in Sweden, the Netherlands, Spain and the UK. This paper describes the developments made to enhance a traffic microsimulation model in order to represent ISA implemented across a network and the impact of this on the networks. The simulation modelling of the control system is carried out on a real-world urban network, and the impacts on traffic congestion, speed distribution and the environment assessed. The results show that ISA systems are more effective in less congested traffic conditions. Momentary high speeds in traffic are effectively suppressed, resulting in a reduction in speed variation which is likely to have a beneficial impact on safety. Whilst ISA reduces excessive traffic speeds in the network, it does not affect average journey times. In particular, the total vehicle-hours travelling at speeds below 10 km/hr have not changed, indicating that the speed control had not induced more slow-moving queues to the network. A statistically significant, eight percent, reduction in fuel consumption was found with full ISA penetration. These results are in accordance with those from field trials and they provide the basis for cost-benefit analyses on introducing ISA into the vehicle fleet. However, contrary to earlier findings from the Swedish ISA road trials, this study suggested that ISA is likely to have no significant effect on emission of gaseous pollutants CO, NO_x and HC.     

多层前向神经网络在电动转向系统中的应用

针对电动转向系统助力特性存在非线性的特点,应用多层前向神经网络,对电动转向系统全车速下的助力特性进行拟合。文中设计了多层前向神经网络结构,并采用基于综合目标函数的二阶学习算法对其进行离线学习,最后在电动转向综合试验台上实现在线控制。系统实现了全车速范围的非线性转向助力,克服了转向助力盲区。