200km/h六轴大功率客运交流传动电力机车概述

介绍了200 km/h六轴大功率客运交流传动电力机车的主要技术特点、性能参数、总体结构,以及通风系统、电气系统、机械系统、制动系统等子系统的技术方案。     

主变压器差动保护装置极性问题的探讨

阐述牵引变电所三相V/v接线牵引变压器差动保护极性的影响因素及其校验方法（微机保护的极性、主变压器的极性和电流互感器的极性3方面）,分析了包西线某牵引变电所主变压器设计和接线的缺陷,提出并验证了三相V/v接线牵引变压器差动保护接线方式的正确性。     

利用钢轮托车辅助盾构机过站施工技术

针对地铁盾构法施工中盾构机通过满足过站要求的已完工车站进行二次始发这一常见施工环节,介绍一种通过钢轮托车辅助盾构机空载推进实现过站需要的施工技术及相应施工要点,如盾构机过站的施工工艺流程,钢板、钢轮拖车及轨道的铺设等。论述了利用钢轮拖车辅助盾构机过站施工技术采取的质量控制、安全措施及环保措施,分析了采用该技术的经济、社会和环境效益。     

中隔墙(CRD)法斜下穿既有高速公路分离式隧道施工技术

新建贵广铁路四寨二号隧道下穿厦蓉高速公路瑞坡隧道,是在具有不均匀动荷载的浅埋围岩中修建大断面铁路隧道,确保施工过程中隧道上部行车的安全,是施工中的一大难题。对下穿过程中采用中隔墙(CRD)法施工取得成功的经验进行介绍。     

变频器输出电压du/dt对电机的影响及其滤波器的设计

研究了变频器输出电压du/dt对电机端电压和轴承电流的影响,在PSpice中建立了电机高频模型,并对端电压波形进行了仿真;着重研究了一种du/dt滤波器的参数设计方法,并且进行了仿真和实验验证。实践证明,该滤波器具有较好的滤波效果。     

华盛顿地铁考察及对我国地铁建设的借鉴

通过对华盛顿地铁的实地考察,详细介绍华盛顿地铁的线路、车站的特点,阐述其在设计、运营、服务、节能等方面的主要理念以及实际措施,分析主要优缺点,并且对我国未来地铁的建设和运营提供建议。     

CARD/1系统在互通立交设计绘图上的应用与开发

通过对CARD/1系统在T型（Y型）互通式立体交叉设计绘图上的二次开发，使T型（Y型）互通式立体交叉的设计绘图达到一体化。     

Wheel-rail contact models for vehicle system dynamics including multi-point contact

Advanced modelling of rail vehicle dynamics requires realistic solutions of contact problems for wheels and rails that are able to describe contact singularities, encountered for wheels and rails. The basic singularities demonstrate themselves as double and multiple contact patches. The solutions of the contact problems have to be known practically in each step of the numerical integration of the differential equations of the model. The existing fast, approximate methods of solution to achieve this goal have been outlined. One way to do this is to replace a multi-point contact by a set of ellipses. The other methods are based on so-called virtual penetration. They allow calculating the non-elliptical, multiple contact patches and creep forces online, during integration of the model. This allows nearly real-time simulations. The methods are valid and applicable for so-called quasi-Hertzian cases, when the contact conditions do not deviate much from the assumptions of the Hertz theory. It is believed that it is worthwhile to use them in other cases too.     

Simulation on progressive collapse behaviour of whole ship model under extreme waves using idealized structural unit method

To ensure the safety of navigating ship, working loads and structural load-carrying capacity are two important aspects. In the present paper, a total simulation system combing load calculation and structural collapse analysis is applied to simulate progressive collapse behaviour of a single-hull Kamsarmax type bulk carrier. A three dimensional singularity distribution method is adopted to calculate pressure distribution with time history. A mixed structural model, collapse part simulated by ISUM elements and remaining part by elastic FEM elements with relative coarse mesh, is proposed for collapse analysis. Progressive collapse behaviour obtained by ISUM is good agreement with that by nonlinear software package, MARC. However, the calculation time of ISUM analysis is about 1/70 of MARC analysis. The applicability to structure system, high accuracy and sufficient efficiency of ISUM had been demonstrated.     

Potentials of using social media to infer the longitudinal travel behavior: A sequential model-based clustering method

This study explores the possibility of employing social media data to infer the longitudinal travel behavior. The geo-tagged social media data show some unique features including location-aggregated features, distance-separated features, and Gaussian distributed features. Compared to conventional household travel survey, social media data is less expensive, easier to obtain and the most importantly can monitor the individual’s longitudinal travel behavior features over a much longer observation period. This paper proposes a sequential model-based clustering method to group the high-resolution Twitter locations and extract the Twitter displacements. Further, this study details the unique features of displacements extracted from Twitter including the demographics of Twitter user, as well as the advantages and limitations. The results are even compared with those from traditional household travel survey, showing promises in using displacement distribution, length, duration and start time to infer individual’s travel behavior. On this basis, one can also see the potential of employing social media to infer longitudinal travel behavior, as well as a large quantity of short-distance Twitter displacements. The results will supplement the traditional travel survey and support travel behavior modeling in a metropolitan area.