联轴节压装工艺改进

文章针对某项目动车组电机侧联轴节滞缓现象,介绍联轴节基本结构和压装工艺,从联轴节锥度、压装方式、扩张液等多方面分析联轴节压装的影响因素,并优化改进联轴节及其压装工艺。     

基于路段交换的多基地动车组运用计划的编制算法

多个基地的动车组共同完成某一运行图规定的任务 ,是动车组运用的一种较为普遍的方式 ,开发该种运用方式的编制算法 ,是研究动车组编制算法的重要组成部分。基于路段交换的思想开发了编制算法 :首先利用已有算法构造出较好的初始解 ,然后利用路段交换不断改进解的质量。利用实际线路数据进行实验 ,证明算法有效。     

兰新铁路第二双线动车组选型

兰新铁路第二双线于2014年建成,速度等级为200~250 km/h。介绍了国内现有各型动车组的技术指标,对比分析了欧洲标准和日本标准两大系列动车组的技术特点,针对兰新第二双线的环境特点对动车组的特殊要求,并综合考虑各方面因素,建议选择CRH3A型动车组,对其做适应性技术改造,将改造后的新型动车组作为兰新第二双线铁路的运营动车组。     

高分辨率罗兰C天波延迟估计新技术

提出了一种基于特征分解的多信号分类算法估计罗兰C接收机天波延迟的信号处理新技术。它为接收机基准点的实时设置提供了一种新方法。常规接收机为了防止天波干扰，将基准点设置在一个固定位置上，导致基准点处信噪比受包络限制而较低，从而大大增加了对准基准点的时间。利用这项技术，我们在低信噪比条件下分离出了地波和天波的到达时刻。这就使得接收机能根据天波延迟变化实时选择基准点最佳位置，并能利用地波到达时刻进行周期选择。由于此法有助于增加基准点处的信噪比，减少对准基准点的时间，因而能极大地提高现有罗兰C接收机的性能。还显示了新方法较IFFF方法有更高的分辨率。     

城市雨水规划探讨

雨水规划对城市管网建设、河涌整治等相关工作有指导作用,文章从排水体制、排涝模数、雨水分区等三方面作了一些探讨,可供规划建设参考。     

多源激励水下复杂壳体结构振动与辐射声场试验研究

设计了一个接近实际情况的多舱段复杂壳体模型,安装小型机械设备,分别进行了单台设备激励与多台设备同时激励的水下复杂壳体振动与声辐射试验;试验结果表明,多源激励下水中复杂壳体的结构响应、辐射声场近似为单源激励下结构响应、辐射声场的非相干叠加.然后从结构声辐射理论上推导了激励源与结构响应、辐射声场之间的传递关系,并以两个源激励为例分析了非相干叠加引起的误差,从而解释了多源激励下结构响应、辐射声场近似为单源激励下结构响应、辐射声场非相干叠加的合理性.这些研究表明,非相干叠加方法可推广应用于水下复杂壳体在多源激励情况下的振动与声场计算,对指导工程设计具有重要价值.     

开发国产300 km/h以上速度动车组的设想

讨论了CRH系列动车组消化吸收再创新的总体目标与主要思路。提出了国产300km/h以上速度动车组的技术创新总体方案的初步设想和技术路线,以及需要研究解决和完成的主要任务、具体内容与所要达到的技术指标。     

Measurements of car-body lateral vibration induced by high-speed trains negotiating complex terrain sections under strong wind conditions

Assessment of the vibration of high-speed trains negotiating complex sections of terrain under strong wind conditions is very important for research into the operation safety and comfort of passengers on high-speed trains. To assess the vibration of high-speed trains negotiating complex sections of terrain under strong wind conditions, we performed a field measurement when the train passes through typical sections of complex terrain along the Lanzhou–Xinjiang high-speed railway in China. We selected the lateral vibration conditions, including the roll angle and lateral displacement of car-body gravity centre through two typical representative sections (embankment–tunnel–embankment and embankment–rectangular transition–cutting) for analysis. The results show that the severe car-swaying phenomenon occurs when the high-speed train moves through the test section, and the car-body lateral vibration characteristic is related significantly to the state of the terrain and topography along the railway. The main causes for this car-swaying phenomenon may be the transitions between different windproof structures, and the greater the scale of the transition region between different windproof structures or landform changes, the more obvious the car-swaying phenomenon becomes. The lateral vibration of the car-body is relatively steady when the train is running through terrain with minor changes in topography, such as the windbreak installed on the bridge and embankment, but the tail car sways more violently than the head car. When the vehicle runs from the windbreak installed on the embankment into the tunnel (or in the opposite direction), the tail car sways more intensely than the head car, and the head car runs relatively stable in the tunnel.     

A stochastic analysis of highway capacity: Empirical evidence and implications

This paper presents a stochastic characterization of highway capacity and explores its implications on ramp metering control at the corridor level. The stochastic variation of highway capacity is captured through a Space–Time Autoregressive Integrated Moving Average (STARIMA) model. It is identified following a Seasonal STARIMA model (0, 0, 2₃) × (0, 1, 0)₂, which indicates that the capacities of adjacent locations are spatially–temporally correlated. Hourly capacity patterns further verify the stochastic nature of highway capacity. The goal of this paper is to study (1) how to take advantage of the extra information, such as capacity variation, and (2) what benefits can be gained from stochastic capacity modeling. The implication of stochastic capacity is investigated through a ramp metering case study. A mean–standard deviation formulation of capacity is proposed to achieve the trade-off between traffic operation efficiency and robustness. Following that, a modified stochastic capacity-constraint ZONE ramp metering scheme embedded cell transmission model algorithm is introduced. The numerical experiment suggests that considering capacity variation information would alleviate the spillback effect and improve throughput. Monte Carlo simulation further supports this argument. This study helps verify and characterize the stochastic nature of capacity, validates the benefits of using capacity variation information, and thus enhances the necessity of implementing stochastic capacity in traffic operation.