某出口米轨动车组(Tc车)车体设计及试验对比研究

介绍了使用大型通用计算机辅助工程软件ANSYS和有限元方法,对某出口米轨动车组(Tc车)进行了分析计算的过程,并通过实际物理样机试验数据与计算数据的比对,分析车身强度的可靠性。     

地铁车辆段综合管线设计研究

研究目的:综合管线设计是地铁车辆段设计的一大难点,也是地铁车辆设计成功与否的关键点之一。通常综合管线是在各专业完成施工图后才能正式开展工作,因此每次综合管线设计的工期都非常短。目前传统的综合管线设计思路及方法已不能满足设计需要,为了较好地解决综合管线设计周期短、质量要求高的难题,推出新的综合管线设计方法尤为迫切。研究结论:通过地面车辆段、双层车辆段综合管线设计的归纳总结,提出采用反推法设计综合管线。采用反推法设计综合管线,将缩短地铁车辆段综合管线设计周期50%,提高了设计质量的同时还提高了设计人员的综合素质。     

Vertical random vibration analysis of vehicle–track coupled system using Green's function method

A vertical vehicle–track coupled dynamic model, consisting of a high-speed train on a continuously supported rail, is established in the frequency-domain. The solution is obtained efficiently by use of the Green's function method, which can determine the vibration response over a wide range of frequency without any limitations due to modal truncation. Moreover, real track irregularity spectra can be used conveniently as input. The effect of the flexibility of both track and car body on the entire vehicle–track coupled dynamic response is investigated. A multi-body model of a vehicle with either rigid or flexible car body is defined running on three kinds of track: a rigid rail, a track stiffness model and a Timoshenko beam model. The results show that neglecting the track flexibility leads to an overestimation of both the contact force and the whole vehicle vibration response. The car body flexibility affects the ride quality of the vehicle and the coupling through the track and can be significant in certain frequency ranges. Finally, the effect of railpad and ballast stiffness on the vehicle–track coupled vibration is analysed, indicating that the stiffness of the railpad has an influence on the system in a higher frequency range than the ballast.     

Short-term speed predictions exploiting big data on large urban road networks

Big data from floating cars supply a frequent, ubiquitous sampling of traffic conditions on the road network and provide great opportunities for enhanced short-term traffic predictions based on real-time information on the whole network. Two network-based machine learning models, a Bayesian network and a neural network, are formulated with a double star framework that reflects time and space correlation among traffic variables and because of its modular structure is suitable for an automatic implementation on large road networks. Among different mono-dimensional time-series models, a seasonal autoregressive moving average model (SARMA) is selected for comparison. The time-series model is also used in a hybrid modeling framework to provide the Bayesian network with an a priori estimation of the predicted speed, which is then corrected exploiting the information collected on other links. A large floating car data set on a sub-area of the road network of Rome is used for validation. To account for the variable accuracy of the speed estimated from floating car data, a new error indicator is introduced that relates accuracy of prediction to accuracy of measure. Validation results highlighted that the spatial architecture of the Bayesian network is advantageous in standard conditions, where a priori knowledge is more significant, while mono-dimensional time series revealed to be more valuable in the few cases of non-recurrent congestion conditions observed in the data set. The results obtained suggested introducing a supervisor framework that selects the most suitable prediction depending on the detected traffic regimes.     

摆动式转向架技术的创新与发展

介绍了摆动式转向架的基本原理,阐述了摆动式转向架技术在中国的创新与发展,总结了摆动式转向架在中国的推广应用情况。     

Expanding scope of hybrid choice models allowing for mixture of social influences and latent attitudes: Application to intended purchase of electric cars

Recently, policy makers’ expectations about the role of electric cars in reducing emissions have risen substantially. In parallel, academic research on purchase intentions has dramatically increased. Originally, most studies have focused on utility attributes and price. More recently, several hybrid choice models have been estimated to include the impact of attitudes on choice probabilities. In addition, a few studies have caught the attention to social influence. In contributing to this line of research, this paper reports the results of an expanded hybrid choice, which simultaneously estimated all these different effects in a single integrated model of purchase intention. Results indicate that the model performs well. Costs considerations contribute most to the utility of electric cars. Social influence is less important, but there is also evidence that people tend to take it into consideration when there are positive public opinions about electric cars and the market share becomes almost half of friends of their social network. The intention to purchase an electric car is also influenced by attitudes about environmental concerns and technology acceptance.     

长江口新一代车客渡船的设计特点

介绍长江口新一代车客渡船的设计特点，包括：节能效果显著的非对称双尾鳍船型；富有个性的新颖船舶外观造型；以及既经济实用又能体现时代气息的舱室装潢设计。     

轿车柴油化市场前景分析

汽车是能源消耗与环境污染的主要来源之一,而轿车又在汽车市场占据半壁江山,降低轿车能耗非常重要。柴油机较汽油机有着较大的节能环保的优势,在轿车中推行柴油化,必将对节能环保做出重要贡献。与世界发达国家相比,我国的轿车柴油化的水平还很低。虽然轿车柴油化已经具备一些有利的条件,但国内的油品和相关配套法规严重制约了柴油轿车的普及,我国的轿车柴油化还有很长的路要走。整车厂和主机厂应该积极开发轿车柴油化技术,更好地满足轿车柴油化的需求。     

高黎贡山隧道1号竖井设计及分析

为了满足高黎贡山隧道竖井施工任务要求，综合隧道所处环境及竖井能力需求，按照竖井井口、井筒、井下3方面统筹考虑的总体设计思路，提出高黎贡山隧道1号竖井设计关键问题的解决方案： 1）根据井口地形、地貌条件及提升设备、井口车场布置要求，合理布置井口场坪； 2）根据竖井功能定位，竖井宜采用主副井模式； 3）根据井下施工的出渣量、材料数量、人员进出量等综合考虑竖井断面尺寸； 4）当地质条件、水文地质条件允许时，竖井宜采用短段掘砌混合作业法施工，设置模筑混凝土井壁； 5）竖井提升设备宜按井下施工期间的要求考虑，建井期间各设备之间能力应匹配； 6）竖井施工能力应满足井下施工期间出渣、进料要求，并留有富余； 7）井底车场应结合运输方式及进料、出渣等功能要求确定； 8）竖井安全保障应首要解决地下水问题。目前高黎贡山隧道1号竖井主井已完成建井，结果表明铁路隧道竖井按照以上设计方法及思路是可行的。     

SS5型客运电力机车(2)——总体布置及通风系统

文章介绍了SS5型客运电力机车总体布置和通风系统的特点。