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.     

中国元素在汽车造型设计中的应用研究

随着汽车产业的蓬勃发展,汽车造型设计越来越注重民族元素的应用,逐渐步入本土品牌化。在国产汽车突飞猛进的今天,将中国元素融入到国产汽车设计之中,具有非常重要的作用和意义。如何将优秀的中国传统文化元素完美应用到汽车造型设计中,大量的优秀汽车设计师进行了成功的探索和尝试,并取得了可喜的成绩。在东方大国文化自信的背景下,打造出带有强烈“中国味”的国产汽车,应该是每个优秀汽车设计师必须认真思考的课题。     

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。     

磁动力在新能源汽车上的应用

电磁汽车发动机是一款,利用永磁铁和电磁铁同磁极之间,相互排斥的原理,设计出来的一款全新理念的汽车发动机。     

浅析汽车车身无痕修复技术的重要性及方法

随着全球经济发展的不断加深,机动车的数量也不断增加,改革开放以来我国的汽车产业发展速度非常快,2018年中国机动车保有量差不多有3.27亿辆,从数字上来看汽车的量非常庞大,随之而来的是汽车售后服务的跟进,特别是随着近年来交通事故率的上升,使汽车维修业务量不断增多,其中汽车车身钣金修复是维修业务量的重要组成部分,现在很多车主对汽车的各方面性能特别是车身安全性能的重视越来越大,而采用传统的钣金修复方式越来越不被车主看好,促使新型车身钣金修复方法的不断创新,本文主要讲述汽车车身修复新型方法中的无痕修复方法,通过对比无痕修复方法和传统修复方法的优缺点来阐述无痕修复在汽车售后维修中的重要性。     

出口乌兹别克斯坦八轴电传动调车机车车体设计

主要介绍了出口乌兹别克斯坦的八轴电传动调车机车车体的技术参数、车体各大部件的结构特点、车体增重措施及强度计算分析。