青藏铁路大风天气运输组织方法

青藏高原大风天气多,空气密度小,大风对铁路运输安全的影响与低海拔地区差异较大。利用车辆动力学原理建立列车临界翻车风速模型,分别计算青藏铁路海拔3 000 m和4 000 m冻土和非冻土地区的临界翻车风速和危险翻车风速,以及给定风速条件下车辆限制速度。计算结果表明,青藏铁路临界翻车风速随海拔升高而增大,随冻土路基病害出现而降低。参考英、日等国大风标准,结合青藏铁路的特点,根据危险翻车风速和临界翻车风速,初步提出青藏铁路海拔4 000 m地区安全行车标准及特定运行条件、冻土地区线路出现病害情况下的安全行车标准及特定运行条件。提出列车限速运行、增加车辆载重、提高列车编组水平、提高司机操作水平、改善棚车顶部外形、加强货运检查、注意车辆防溜和风沙地区线路检查等大风天气运输组织措施。     

城轨交通中三轨系统有限元模型及其动力特性

建立了由钢铝复合轨、绝缘支架、支撑卡爪和支架底座组成的三轨系统的有限元模型,计算了其动力特性,分析了下部桥梁结构振动的影响,为轨道的磨耗磨损研究及集电靴与接触轨的动态受流仿真的进一步研究建立基础。研究得出,三轨系统前十阶的自振频率范围与桥梁结构的自振频率相差较大,两者不会发生共振。     

基于Matlab的级联型高压变频器VF控制仿真平台研究

以级联型高压变频器(CAS-HVI)系统拓扑结构及功率单元结构为对象,通过Simulink构建功率单元组、移相变压器系统以及基于载波移相SPWM(CPS-SPWM)调制原理的PWM发生器子系统,形成基于VVVF控制的CAS-HVI仿真平台。利用该平台分别对突加减负载时功率单元的输入电流、母线电压、母线电流、输出电流的变化进行定性分析,并对相间短路极端故障情况下的功率单元状态进行定性分析。该仿真平台不但能提高CAS-HVI系统的开发安全性以及开发效率,有效降低开发成本,同时也展示了仿真的高效性及便利性。     

通信设备用阀控式密封铅酸蓄电池的维护和管理

从维护和管理的角度出发,对影响蓄电池寿命的因素进行了分析,对如何提高电池的使用寿命进行了探讨,并根据日常的一些维护经验,对蓄电池的维护提出了建议。     

12599名铁路重点人员应急接种甲型H1N1流感疫苗情况分析

目的防控铁路甲型H1N1流感疫情传播,为规范有序地开展应急接种提供依据。方法按照知情同意、自愿、免费的原则,有计划分步对武汉铁路重点人群实施应急接种。结果共接种12 599人,接种率达89.76%,其中列车员接种9 020人,接种率达到92.79%,占总接种人数的71.59%;AEFI发生率为零,一般性不良反应发生12例,发生率为9.52/万。结论在铁路重点人群中进行甲型H1N1流感疫苗应急接种,安全可行,是防控甲型H1N1流感疫情的有效手段。     

运用DOE方法解决HXD1型机车SKS3模块接线脱落质量问题

文章首先对HXD1型机车辅助开关柜SKS3模块接线脱落的故障类别和故障原因从人、机、料、法、环、测等方面进行了分析,在此基础排除非主要因素,然后通过DOE的方法找出几个影响辅助开关柜SKS3模块接线脱落的重要因子。通过质量改进,标准化生产加工工序,以减少以后生产中SKS3模块接线脱落。     

Q355GNHD高耐候钢在动车组中的焊接运用

详细介绍了出口突尼斯动车组车体钢结构的特点,通过各部位焊接工艺试验,结合车体钢结构组装焊接工艺,选取了与之匹配的焊接材料Q355GNHD高耐候钢,确定了合适的焊接工艺参数,并制定出该车的生产工艺方案,满足了产品设计的制造需要。     

新型列车运行控制系统——SCBTC系统

一种基于通行信号链的列车运行控制移动闭塞系统(SCBTC-MAS),可作为一个独立监测系统与现有列车运行控制系统(TBTC或CBTC)并联运行,为列车运行提供一个"双保险"机制。SCBTC-MAS具有精确、实时的轨道占用检测及闭塞控制能力,令列车在信号系统故障、列车定位失效、人为操作错误情况下,仍可有效避免相撞事故的发生。     

Through the storm: Transit agency management in response to climate change

The increase in extreme weather events due to climate change poses serious challenges to public transit systems. These events disrupt transit operations, impair service quality, increase threats to public safety, and damage infrastructure. Despite the growing risk of extreme weather and climate change, little is known about how public managers recognize, experience and address these risks. Using data from a national study of public transit agencies we investigate the types of extreme weather events transit agencies are experiencing, the associated risks, and how agencies are preparing for them. We find that while extreme events are commonly experienced by transit agencies across states and transit managers perceive increased risks from these events, most agencies rely on the traditional emergency management approach to address extreme weather ex post rather than taking a proactive approach to mitigating the adverse weather impact on transit assets and infrastructure ex ante. Managers report that a lack of access to financial resources is the greatest challenge for undertaking adaptation and preparation. We conclude with a discussion of what these findings mean for understanding organizational adaptation behavior as well as climate adaptation policy making.     

Impact assessment of extreme weather events on transport networks: A data-driven approach

The present paper presents a data-driven method for assessing the resilience of the European passenger transport network during extreme weather events. The method aims to fill in the gap of current research efforts regarding the quantification of impacts attributed to climate change and the identification of substitutability opportunities between transport modes in case of extreme weather events (EWE). The proposed method consists of three steps concerning the probability estimation of an EWE occurring within a transportation network, the assessment of its impacts and the passengers’ flow shift between various transport modes. A mathematical formulation for the proposed data-driven method is provided and applied in an indicative European small-scale network, in order to assess the impacts of EWE on modal choice. Results are expressed in passenger differentiated flows and the paper concludes with future research steps and directions.