Parametric analysis of wheel wear in high-speed vehicles

In order to reduce the wheel profile wear of highspeed trains and extend the service life of wheels, a dynamic model for a high-speed vehicle was set up, in which the wheelset was regarded as flexible body, and the actual measured track irregularities and line conditions were considered. The wear depth of the wheel profile was calculated by the well-known Archard wear law. Through this model, the influence of the wheel profile, primary suspension stiffness, track gage, and rail cant on the wear of wheel profile were studied through multiple iterafive calculations. Numerical simulation results show that the type XP55 wheel profile has the smallest cumulative wear depth, and the type LM wheel profile has the largest wear depth. To reduce the wear of the wheel profile, the equivalent conicity of the wheel should not be too large or too small. On the other hand, a small primary vertical stiffness, a track gage around 1,435-1,438 mm, and a rail cant around 1：35-1：40 are beneficial for dynamic performance improvement and wheel wear alleviation.     

Vehicle reidentification and travel time measurement on congested freeways

The paper presents an algorithm for matching individual vehicles measured at a freeway detector with the vehicles’ corresponding measurements taken earlier at another detector located upstream. Although this algorithm is potentially compatible with many vehicle detector technologies, the paper illustrates the method using existing dual-loop detectors to measure vehicle lengths. This detector technology has seen widespread deployment for velocity measurement. Since the detectors were not developed to measure vehicle length, these measurements can include significant errors. To overcome this problem, the algorithm exploits drivers’ tendencies to retain their positions within dense platoons. The otherwise complicated task of vehicle reidentification is carried out by matching these platoons rather than individual vehicles. Of course once a vehicle has been matched across neighboring detector stations, the difference in its arrival time at each station defines the vehicle’s travel time on the intervening segment.Findings from an application of the algorithm over a 1/3 mile long segment are presented herein and they indicate that a sufficient number of vehicles can be matched for the purpose of traffic surveillance. As such, the algorithm extracts travel time data without requiring the deployment of new detector technologies. In addition to the immediate impacts on traffic monitoring, the work provides a means to quantify the potential benefits of emerging detector technologies that promise to extract more detailed information from individual vehicles.     

Vehicle detection system design based on stereo vision sensors

Vehicle detection is a crucial issue for driver assistance system as well as for autonomous vehicle guidance function and it has to be performed with high reliability to avoid any potential collision. The vision-based vehicle detection systems are regarded promising for this purpose because they require little infrastructure on a highway. However, the feasibility of these systems in passenger car requires accurate and robust sensing performance. In this paper, a vehicle detection system using stereo vision sensors is developed. This system utilizes feature extraction, epipoplar constraint and feature matching in order to robustly detect the initial corresponding pairs. The proposed system can detect a leading vehicle in front and can estimate its position parameters such as the distance and heading angle. After the initial detection, the system executes the tracking algorithm for the vehicles in the lane. The proposed vehicle detection system is implemented on a passenger car and its performances are verified experimentally.     

Reliability-based sensitivity analysis of vehicle components with non-normal distribution parameters

Techniques from the perturbation method, fourth moment method, reliability-based design theory, and sensitivity analysis approach are employed to present a practical and efficient method for testing the reliability sensitivity of vehicle components with non-normal distribution parameters. With the condition that the first four moments of original random variables are known, the reliability sensitivity theory and cases are researched using the presented numerical method. The variation regularities of reliability sensitivity are obtained and the effects of design parameters on reliability of the vehicle components are studied. The sophisticated formulation provided in this paper is easily amenable to computational procedures. The respective program can be used to obtain the reliability sensitivity of vehicle components with non-normal distribution parameters accurately and quickly. The results obtained are perfect and the solutions compared very well with those from Monte Carlo simulation. The method presents a theoretic basis for the reliability design of the vehicle components.     

碰撞分析中的有限元应用

交通事故的发生有时不可避免,为了将损失降到最低对车辆碰撞特性进行分析十分重要。整个车身是由薄壁结构组成的,因此在碰撞事故发生时,车身是主要的吸能部件。文章针对碰撞事故,对碰撞特性及车身的吸能情况,以及在碰撞分析中经常使用到的一些有限元分析软件进行了分析,指出多刚体动力学分析软件（MADYMO）是乘员约束系统整合及优化设计的首选工程软件,通过对大型结构的动态有限元分析,提高了研究效率。     

气垫船的回顾与展望

回顾了中国船舶及海洋工程设计研究院（MARIC）40年来在气垫船、研究方面所取得的主要成就,分析了该类高性能船舶的市场需求,并提出了未来研究和发展的初步构想。     

层次分析法在运载器系统中应用研究

该文应用层次分析法研究水下运载器各子系统或部件对总体性能重要程度,在对运载器进行层次结构建模基础上,根据表征各元素间看要性关系,形成单一准则下判断矩阵,构造系统的加权超矩阵,得到系统的极限相对排序（LIP）,最后给出了部分计算分析结果。     

水下爆炸二次脉动压力下舰船抗爆性能研究

将船体梁视为两端自由的Timoshenko梁,在借用二维切片法和水弹性方法的基础上,计算船体染在水下爆炸二次脉动压力下的响应特性。同时,还建立了在考虑水面效应和气泡运动时舰船受到二次脉动压力的计算模型。最后,分析了浮筏式减振装置在水下爆炸二次脉动压力下船用设备的减振抗冲性能。     

快速路可变限速与匝道控制协同优化策略

可变限速控制和匝道控制是快速路交通控制的主要手段,本文对两者的协同优化策略进行了研究.借助智能车路协同系统强大的信息感知能力,通过引入微观交通流信息,对经典METANET模型进行了改造,构建了可变限速控制影响下的微观METANET模型,实现了一种新的可变限速控制策略,同时,采用ALINEA算法,对入口匝道进行了优化控制,实现了两者的协同优化.最后,基于实际道路和交通流数据搭建了仿真平台,对微观METANET模型和协同优化策略的有效性进行了验证.仿真结果表明,微观METANET模型具有良好的交通流预测效果,协同优化策略能有效地改善快速路交通流状态.     

大断面水下盾构隧道管片接头抗弯刚度及其对管片内力影响研究

以大断面水下铁路盾构隧道-狮子洋隧道工程为研究对象,运用有限元数值分析方法,并结合管片接头原型抗弯试验,研究环向管片接头抗弯刚度,并运用梁-弹簧模型进行接头抗弯刚度对整环管片结构内力影响的研究.结果表明:该隧道管片接头抗弯刚度的取值范围为50～700MN·m·rad-1,在相同轴力条件下,接头抗弯刚度会随接头弯矩的增加降低1个数量级左右;在相同接头弯矩条件下,接头抗弯刚度随轴力的增加而增大;接头抗弯刚度对管片轴力分布的影响微弱,对管片弯矩的影响显著;随接头抗弯刚度的增大,整环管片的弯矩分布趋于均匀;在抗弯刚度取值范围内,极值弯矩相差最大达80％左右,极值轴力最大减小5％左右,变形最大减小20％左右;基于接头抗弯刚度-弯矩-轴力的非线性关系改进的梁-弹簧模型,更能体现接头对整环管片受力的影响,也更适用于大断面盾构隧道管片内力的计算.