双块式轨枕外形质量快速检测系统研制及应用

SK?2型双块式混凝土轨枕是高速铁路无砟轨道结构中的重要预制件,单一生产厂日均产量达到800~1400根,但目前的人工检测方式无法满足双块式轨枕的出厂检验要求。本文提出的双块式轨枕外形质量快速检测系统可满足TB/T 3397—2015《CRTS双块式无砟轨道混凝土轨枕》的出厂检验要求,与双块式轨枕生产线相匹配,大大提高了检测效率,实现了双块式轨枕全参数、自动化、智能化检测。检测数据自动上传至生产管理平台,可对双块式轨枕生产质量进行跟踪管理。     

BIM技术在铁路预应力混凝土连续梁零号节段深化设计中的应用

近年来,部分铁路预应力混凝土连续梁支座附近出现浇筑不密实、蜂窝麻面等问题,一定程度上影响了连续梁质量。针对这一现状,结合BIM及C#语言技术,从深化设计平台的选择、精细化模型的构建以及BIM技术在深化设计中的应用开展研究。结果表明:(1)通过合理拆分并在空间上进行布尔组合,能够较快构建铁路连续梁零号节段BIM模型,满足深化设计条件;(2)基于BIM模型开展深化设计、生成2D图纸并统计工程数量,能够直观发现设计中的不足,一定程度上提升设计质量和效率。     

车务可视化信息系统设计与实现

车务可视化信息系统通过三维模型及虚拟漫游的展现形式,将铁路运行及运营的动态信息进行集成和柔性展示,实现旅客服务信息及运输管理相关数据的整合,通过可视化的展现方式既方便旅客及管理人员,又充分展示铁路信息化建设的成果。     

SS4B电力机车转向架可视化标准作业系统研究

SS_4B型电力机车转向架结构复杂,检修工序繁琐,对作业人员的检修技能培训要求高,针对目前培训方式存在的问题,提出建立转向架可视化标准作业系统,综合利用多媒体技术、数字化建模技术以及虚拟现实技术,构建集三维动画和人机交互功能于一体,信息集中化、培训作业标准化、培训时空自由化、周期短且考核针对性强的可视化培训系统,实现对SS_4B型电力机车转向架系统的内部结构、检修流程及其动态拆装过程的逼真模拟,提升实操培训效率和沉浸式体验,提高检修人员技能水平。     

轨道复合不平顺对无缝线路横向变形的影响分析

轨道复合不平顺会对行车的安全及稳定性产生较大影响,也是影响无缝线路横向变形的一个重要因素。为研究轨道复合不平顺对无缝线路的具体影响,通过构建三维轨道框架非线性有限元模型,采用轨道框架单点(或多点)位置发生横向及竖向位移来模拟复合不平顺状态,通过计算获取节点位移变化规律,进而分析轨道复合不平顺对无缝线路横向变形的影响作用。研究结果表明,轨道的复合不平顺会对无缝线路的横向变形产生显著的影响;当线路出现三角坑等类似病害时,其节点位移变化更为显著,在无缝线路的日常养护维修中应尤为注意。     

垃圾土力学特性及其路基填筑应用研究

将垃圾土应用于公路路基填筑是实现垃圾土大规模资源化利用的有效途径。本文首先对实际垃圾土进行筛分处理,制得适用于公路路基的垃圾筛余土(简称垃圾土);进而,通过室内试验研究了直接压实垃圾土和固化垃圾土的抗剪强度、CBR值等力学特性;以此为基础,修筑直接压实垃圾土路基试验段,并采用适宜的新型施工工艺修筑固化垃圾土路基试验段,监测路基的工后沉降随时间的变化规律,对比两种垃圾土路基的应用效果。结果表明:固化垃圾土与直接压实垃圾土相比,粘聚力提高1.6~1.9倍,内摩擦角提高30%以上,CBR值提高4.5~5.1倍;固化垃圾土路基的工后沉降比直接压实垃圾土路基降低64.7%,且能够更早地趋于稳定。以上结果证明:本文提出的固化垃圾土路基施工工艺和垃圾土资源化利用途径是可行的。     

Data dependent input control for origin–destination demand estimation using observability analysis

In this paper, we address the observability issue of static O–D estimation based on link counts. Unlike most classic observability analyses that relied only on network topological relationships, our analysis incorporates the actual values of input parameters, thus including network operational relations as well. We first analyze possible mathematical properties of an O–D estimation problem with different data input. We then propose a modeling approach based on mixed-integer program for selecting model input that ensures observability and estimation quality. Through establishing a stronger connection between observability analysis and the corresponding estimation problem, the proposed method aims to improve estimation quality while reducing reliance on erroneous data.     

桥梁转体施工自闭合式合龙钢壳系统及施工技术研究

为进一步减小转体施工桥梁合龙施工时对既有运营线路的干扰,同时解决传统钢壳法中加劲肋板对合龙段施工的影响,以首座采用墩中转体的大树村龙川江三线大桥为依托,在传统钢壳法的基础上进行优化研究,自行研制、设计了一套自闭合式合龙钢壳系统并应用于实践,最终达到了安全、优质、快速、有序合龙的目的。实践结果表明,自闭合式合龙钢壳系统能够满足施工要求,且使用效果良好,达到了优化施工的目的,可为类似桥梁合龙施工提供参考。     

Validating and improving public transport origin–destination estimation algorithm using smart card fare data

Smart card data are increasingly used for transit network planning, passengers’ behaviour analysis and network demand forecasting. Public transport origin–destination (O–D) estimation is a significant product of processing smart card data. In recent years, various O–D estimation methods using the trip-chaining approach have attracted much attention from both researchers and practitioners. However, the validity of these estimation methods has not been extensively investigated. This is mainly because these datasets usually lack data about passengers’ alighting, as passengers are often required to tap their smart cards only when boarding a public transport service. Thus, this paper has two main objectives. First, the paper reports on the implementation and validation of the existing O–D estimation method using the unique smart card dataset of the South-East Queensland public transport network which includes data on both boarding stops and alighting stops. Second, the paper improves the O–D estimation algorithm and empirically examines these improvements, relying on this unique dataset. The evaluation of the last destination assumption of the trip-chaining method shows a significant negative impact on the matching results of the differences between actual boarding/alighting times and the public transport schedules. The proposed changes to the algorithm improve the average distance between the actual and estimated alighting stops, as this distance is reduced from 806 m using the original algorithm to 530 m after applying the suggested improvements.     

Statistical assessment of EV usage potential from user’s perspective considering rapid-charging technology

The aim of the German Government is the licensing of one million electric vehicles (EV) in Germany until 2020. However, the number of battery electric vehicles (EVs) today still is just above 25,000. There are several reasons for deciding against an EV, but especially low battery ranges as well as too long perceived charging duration inhibit the usage of an EV. To eliminate the negative influence of these two reasons on the decision to purchase an EV, a novel charging technology is established. The rapid-charging technology enables the user to recharge the battery to 80% of its state of charge (SOC) within 20–30 min. For the examination of the technology’s impact from (potential) user’s perspective, users and nonusers of battery electric vehicles were questioned about the perceived additional value of public rapid-charging infrastructure by taking into account different trip purposes and running comparisons to regular charging options. The results show an increased perceived value especially for trips with leisure purpose, considering their share of all trip purposes in Germany, according to the MiD 2008. In order to increase the number of licensed EVs in Germany, the study’s results also suggest further dissemination of information on rapid charging which might influence the perceived usefulness of the technology and consequentially the perceived usefulness of an EV.