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.     

边坡滑动面三维空间有限元分析

提出了一种用三维潜在滑移面法分析三维边坡滑动面及稳定性的新方法,该方法根据弹塑性有限元的应力分析结果,用数值积分方法确定边坡的潜在滑移面、最危险潜在滑移面和边坡稳定性安全系数,具有充分的理论依据。通过对大量三维边坡实例的稳定性安全系数及最危险滑动面的分析得出,三维边坡按平面边坡处理会引起较大的分析误差,三维边坡应该按三维问题进行分析。     

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.     

基于自适应遗传算法的路堤边坡稳定性分析方法

基于圆弧滑动面假定,提出了一种用自适应遗传算法搜索最危险滑动面及其对应的最小安全系数的新方法。该方法是一种改进的遗传算法,采用自适应求取适值、动态调整交叉率和变异率、自适应区间收缩。自适应遗传算法有效克服了传统方法易陷入局部极小的缺陷,提高了算法的搜索效率、精度和稳定性。     

山区公路层间滑移破坏机理分析及对策研究

通过现场调查,初步分析了山区公路沥青路面基面层滑移的主要原因。应用有限元法,对基层和面层之间的剪应力进行计算分析,得出了基面层间剪应力变化的一般规律,认为层间最大剪应力主要取决于面层厚度和荷载条件。在前述计算分析的基础上,利用自行研制的DLG A路面材料剪切仪进行了大量的层间滑移室内模拟试验,考察了不同的层间处理措施、温度、基层类型等因素对层间抗剪能力的影响,提出了防止基面层滑移的技术措施。     

超大跨度斜拉桥施工过程力学行为

斜拉桥结构效应在施工过程中具有典型的时空变化特性，但目前对效应的时程特性及时空包络关注较少。建立精细的几何非线性分析模型，分析主跨1088m的苏通大桥施工过程力学行为，包括施工阶段效应增量、效应时程、效应包络及恒载效应。研究结果有助于结构设计和施工控制。     

Dynamic stride length adaptation according to utility and personal space

Pedestrians adjust both speed and stride length when they navigate difficult situations such as tight corners or dense crowds. They try to avoid collisions and to preserve their personal space. State-of-the-art pedestrian motion models automatically reduce speed in dense crowds simply because there is no space where the pedestrians could go. The stride length and its correct adaptation, however, are rarely considered. This leads to artefacts that impact macroscopic observation parameters such as densities in front of bottlenecks and, through this, flow. Hence modelling stride adaptation is important to increase the predictive power of pedestrian models. To achieve this we reformulate the problem as an optimisation problem on a disk around the pedestrian. Each pedestrian seeks the position that is most attractive in a sense of balanced goals between the search for targets, the need for individual space and the need to keep a distance from obstacles. The need for space is modelled according to findings from psychology defining zones around a person that, when invaded, cause unease. The result is a fully automatic adjustment that allows calibration through meaningful social parameters and that gives visually natural results with an excellent fit to measured experimental data.     

Coloured Petri net-based traffic collision avoidance system encounter model for the analysis of potential induced collisions

The Traffic Alert and Collision Avoidance System (TCAS) is a world-wide accepted last-resort means of reducing the probability and frequency of mid-air collisions between aircraft. Unfortunately, it is widely known that in congested airspace, the use of the TCAS may actually lead to induced collisions. Therefore, further research regarding TCAS logic is required. In this paper, an encounter model is formalised to identify all of the potential collision scenarios that can be induced by a resolution advisory that was generated previously by the TCAS without considering the downstream consequences in the surrounding traffic. The existing encounter models focus on checking and validating the potential collisions between trajectories of a specific scenario. In contrast, the innovative approach described in this paper concentrates on quantitative analysis of the different induced collision scenarios that could be reached for a given initial trajectory and a rough specification of the surrounding traffic. This approach provides valuable information at the operational level. Furthermore, the proposed encounter model can be used as a test-bed to evaluate future TCAS logic changes to mitigate potential induced collisions in hot spot volumes. In addition, the encounter model is described by means of the coloured Petri net (CPN) formalism. The resulting state space provides a deep understanding of the cause-and-effect relationship that each TCAS action proposed to avoid an actual collision with a potential new collision in the surrounding traffic. Quantitative simulation results are conducted to validate the proposed encounter model, and the resulting collision scenarios are summarised as valuable information for future Air Traffic Management (ATM) systems.     

桨-舵间距对其组合系统水动力性能的影响

本文通过CFD方法对敞水桨、桨-舵组合以及优化间距的桨-舵组合装置开展了数值仿真研究，分析了桨-舵间距对其组合系统的水动力性能影响。螺旋桨敞水工况的计算值与物理模型试验值吻合良好，验证了数值计算方法的可行性。通过对比桨-舵间距大于推荐值的三个工况，发现在较低进阶系数下系统的节能效率有稍许增加，然而随着间距的增大，节能效率呈现降低的趋势；在高进阶系数下，随间距增大节能效率逐步降低。适当减小桨-舵间距，在较低和中等进阶系数下，随间距减小节能效率呈现逐步升高的趋势，在间距减少10mm时，组合体的节能效率最大可增加1.937%；不过在高进阶系数下，随间距减小节能效率却有下降趋势。