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。     

模具材料及其发展概况

本文全面的综述了金属成形和塑料成型模具常用的新型材料并对模具材料的发展及推广提出了建议。     

新型客车热轴现象机理分析

针对近来陆续发生的客车热轴现象,进行了运用情况调查,从轮径差、轴箱定位、构架结构尺寸差、车体支撑状态等方面进行了分析,得出了上述几方面是造成热轴主要原因的结论,并提出了相应的建议。     

钢结构厚板母材及其焊接影响区的Z向冲击性能试验

为研究厚板及其焊缝在z向下的冲击性能,积累Z向冲击功的数据,为今后衡量评价z向性能提供实验依据,采用Q345B结构钢材,针对厚度60一165mm的板,在不同尺寸焊缝的十字形连接下沿轧制方向和板厚方向（z向）取样,在常温和低温下进行夏比y形缺1：2冲击试验。分析冲击功的变化规律,并用Bohzman函数进行拟合并分析韧脆转变温度。对试样断1：2进行电镜扫描分析。研究结果表明：z向取样,温度降低皆会对冲击韧性产生较大的影响,板厚及焊缝尺寸的增加也会对冲击韧性产生不利的影响,但相对较低。     

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。     

间歇式沥青搅拌设备称量系统设计

从沥青搅拌设备供料系统到称量系统机构及控制系统设计,全面阐述了影响沥青搅拌设备称量精度的因素及在实际应用中的合理解决办法,并提出沥青搅拌设备称量精度指标要求.     

大型C型独立液货罐Y型接头疲劳强度评估

随着C型独立液货罐的新技术发展,目前在工业界推出了采用双体罐和三体罐构造形式的新颖大型C型独立液货罐。由于双体罐和三体罐构造的要求,在相邻罐体连接处设有Y型接头。该Y型接头位置处由于结构件交汇,构造复杂、应力集中,在船舶运动、蒸汽压力变化,以及温度变化的动载作用下有可能发生疲劳损伤。本文对新颖大型C型独立液货罐Y型接头疲劳强度评估方法的规范技术要求及制定开展了深入详尽的研究，包括对C型独立液货罐疲劳损伤计算工况择取，液货内部动压力计算公式推导，蒸气压力、温度变化等低周疲劳载荷模式确定等，创新提出一整套基于热点应力的C型独立液货罐Y型接头的疲劳损伤评估方法的规范实施要求。进一步地，还推导了基于一般实际情况假设下的C型独立液货罐Y型接头疲劳评估筛分准则，并应用本文上述研究成果和结论，进行了双体和三体罐Y型接头疲劳评估和筛分准则的应用与验证。     

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.     

Modelling the impact of weather conditions on active transportation travel behaviour

Three weather sensitive models are used to explore the relationship between weather and home-based work trips within the City of Toronto, focusing on active modes of transportation. The data are restricted to non-captive commuters who have the option of selecting among five basic modes of auto driver, auto passenger, transit, bike and walk. Daily trip rates in various weather conditions are assessed. Overall, the results confirm that impact of weather on active modes of transportation is significant enough to deserve attention at the research, data collection and planning levels.     

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.