基于集肤效应的地铁短路时间常数研究

在充分利用广州地铁实测数据基础上,通过建立恰当的短路计算模型,证明了在地铁短路过程的发展阶段其短路电流的时间常数是不断变化的;同时,对集肤效应进行了深入的理论分析,通过对实际情况的适当简化,进行了相关仿真研究;在仿真结果的基础上,总结了地铁走行轨在集肤效应的影响下电阻和电感参数随频率变化的情况。     

深圳地铁线网客流分析及与运行图匹配措施研究

深圳地铁二期工程于2011年6月28日投入试运营,形成178 km线网,客运量激增,并具明显特点。通过分析线网客流,尤其是3号线客流特点,制定了工作日早晚高峰及休息日全天的调图措施,以满足服务并买现运能匹配和成本控制。     

城市轨道交通列车自动监控仿真系统站场图自动生成

通过对上海轨道交通3号线、8号线仿真系统站场图的研究,提出了一种基于统一站场数据格式下不同制式站场图的自动生成方法。该方法基于站场图结构与组件化程序设计,运用规范格式的站场数据自动生成站场图,简化了仿真系统主视图的开发过程。     

地铁出入口大跨度接口梁数值分析

建立空间计算模型对地铁出入口大跨度接口梁的内力等进行数值分析,提出接口梁空间计算模型及其内力计算结果,对比传统平面简化计算模型的内力结果,得知空间计算模型结果更接近接口梁的真实受力状态,接口梁的扭矩不是受力的控制性因素,而接口梁的弯矩接近弹性支座梁的弯矩。     

基于神经网络的地铁牵引整流器控制算法研究

提出了一种利用神经网络对传统的PID控制器进行改造并应用于PWM单位功率因数整流器的控制方法,选择SVPWM控制方法对三相电压型PWM整流器进行控制,电压环采用基于神经网络自适应调整参数的复合型单神经元PI控制器。仿真结果表明,该PI控制器可以在线调整PI参数,快速跟踪整流器的变化,能有效地改善由于系统结构和参数变化而导致的控制效果不稳定的状况,适用于地铁需要频繁的起动、停车的条件。     

南京地铁换乘站地下空间开发与利用

介绍南京地铁新街口换乘站的规划、设计和建设概况.以取得的经济、社会综合效益为实例,说明在城市繁华的中心地区,结合地铁建设进行地下空间开发是必要的,也是可行的.     

大跨高低塔不对称斜拉桥抗震性能分析与评估

为了研究大跨斜拉桥的两阶段水准设防下的抗震性能,依托某大跨高低塔不对称斜拉桥,通过有限元模型建立了空间有限元模型,采用了反应谱和线性时程对比分析的方法。分析表明地震作用下,主桥的不利截面分别为双塔的塔底截面,其低塔受横向地震效应影响较大,高塔受纵向地震效应影响较大,设计配筋时应根据受力方向优化。     

喷锚支护的时间效应与空间效应

喷锚支护是新奥法构筑隧道的主要支护手段，为使喷锚支护与围岩形成共同承载结构，必须在适宜的时机及根据适当的围岩变位量来确定恰当的喷锚支护结构。     

Time windows in workers' activity patterns: Empirical evidence from the Netherlands

This paper assumes that activities at the home and work location are important determinants of individuals' paths through time and space. Fixed activities at these locations determine to a large extent the duration and timing of time windows – blocks of time available for participation in travel and out-of-home non-work activities. Taking the time spent at home and at the workplace as a starting point, this paper classifies activity patterns on workdays into six groups with distinct home- and work-stay patterns. For this, data are used from the 1998 Netherlands National Travel Survey. The six clusters vary in terms of the duration and timing of time windows and some of the differences can be explained by commute characteristics, types of non-work activities performed, workers' sociodemographic attributes, and their spatiotemporal environment. However, the impact of sociodemographic and spatiotemporal variables on cluster membership is shown to be weak.     

Storage space allocation in container terminals

Container terminals are essential intermodal interfaces in the global transportation network. Efficient container handling at terminals is important in reducing transportation costs and keeping shipping schedules. In this paper, we study the storage space allocation problem in the storage yards of terminals. This problem is related to all the resources in terminal operations, including quay cranes, yard cranes, storage space, and internal trucks. We solve the problem using a rolling-horizon approach. For each planning horizon, the problem is decomposed into two levels and each level is formulated as a mathematical programming model. At the first level, the total number of containers to be placed in each storage block in each time period of the planning horizon is set to balance two types of workloads among blocks. The second level determines the number of containers associated with each vessel that constitutes the total number of containers in each block in each period, in order to minimize the total distance to transport the containers between their storage blocks and the vessel berthing locations. Numerical runs show that with short computation time the method significantly reduces the workload imbalance in the yard, avoiding possible bottlenecks in terminal operations.