机车整体车轮踏面剥离原因分析与研究

车轮踏面剥离是一个比较复杂的失效种类,导致其剥离的因素很多。通过对SS3B、DF8B型机车在不同运营条件下的车轮剥离现象进行调查与分析,发现机车在运用中轨道状况的差异、气候环境的不同对车轮踏面剥离的发生有较大的影响,制动是导致机车整体车轮产生踏面剥离的根本原因,用沙的不规范加剧了车轮踏面剥离的发生,针对以上原因提出了解决措施及建议。     

考虑剪切变形及转动惯量的H型钢梁自由振动

以3种典型热轧H型钢截面简支梁为研究对象,分别采用初等梁理论模型和考虑剪切变形及转动惯量影响的高等梁理论模型,分析在不同长细比情况下H型钢截面简支梁前3阶自由振动频率的差异,得出了初等梁理论进行H型钢梁自由振动分析的适用条件,该结论可供结构动力分析及动力设计参考。     

计算机联锁系统辅助电源设计

介绍了多输出单端反激开关电源的设计方法,该方法适用于计算机联锁系统辅助电源的设计。分析多输出单端反激电源的工作原理,双闭环控制方式和工作模式;详细阐述了高频变压器的设计方法以及关键元器件和电路参数设计。该方法设计出的电源符合计算机联锁系统辅助电源性能要求,具有很大的实际工程价值。     

应用交通仿真软件PARAMICS验证交通分配模型

为了考察交通分配模型能够在多大程度上反映现实的交通状况，需要对交通分配模型进行验证，本文阐述了利用微观交通仿软件PARAMICS对交通分配模型进行验证的研究思路。通过建模工具Modeller提供的图形界面，研究者不但能够非常直观地观察交通分配模型的效果，而且可以利用其分析工具Analyser对结果全面分析。因此RARAMICS是一个验证交通分配模型性能优良的平台。     

昆明东风路立交桥动载试验分析

桥梁结构的动力特性(振型、频率和阻尼)是桥梁承载力评定的重要参数,同时也是识别桥梁结构工作性能和桥梁抗震分析的重要参数,本文通过昆明东风路立交桥的动载试验,分析桥梁在不同工况下动应变、动挠度、频率和阻尼以及影响实测冲击系数的原因。对全面地评价桥梁结构有重要意义。     

集装箱装卸桥吊具卷缆系统防失控改造

针对西门子电控系统集装箱桥吊吊具卷缆子系统在使用过程中发现的缺陷进行改造。通过修改西门子变频器参数,可有效避免桥吊吊具卷缆系统由于通信故障引发的失控,不但节约了成本,而且提高了桥吊可靠性。     

Development and calibration of a long-distance passenger traffic assignment model

This paper studies the assignment of long-distance passenger traffic on a highway corridor network. First, we propose a traditional model for the long-distance traffic assignment considering interactions with local commuter traffic. It addresses the effect of local networks on highway corridors. An iterative algorithm is developed to solve for the exact solution. Then, to address the potential computational issues that arise therein, a decomposition method is proposed by introducing a new concept of corridor elasticity. An assignment procedure for long-distance passenger traffic is developed accordingly. Numerical tests show that the proposed decomposition method makes significant improvements in computational performance at a small loss of optimality. This decomposition method well approximates the exact assignment from the traditional formulation, especially when the highway corridors are near-saturation. The proposed decomposition method appears practical for application.     

Tradable network permits: A new scheme for the most efficient use of network capacity

Akamatsu et al. (2006) proposed a new transportation demand management scheme called “tradable bottleneck permits” (TBP), and proved its efficiency properties for a single bottleneck model. This paper explores the properties of a TBP system for general networks. An equilibrium model is first constructed to describe the states under the TBP system with a single OD pair. It is proved that equilibrium resource allocation is efficient in the sense that the total transportation cost in a network is minimized. It is also shown that the “self-financing principle” holds for the TBP system. Furthermore, theoretical relationships between TBP and congestion pricing (CP) are discussed. It is demonstrated that TBP has definite advantages over CP when demand information is not perfect, whereas both TBP and CP are equivalent for the perfect information case. Finally, it is shown that the efficiency result also holds for more general demand conditions.     

Solving the gate assignment problem through the Fuzzy Bee Colony Optimization

In the field of Swarm Intelligence, the Bee Colony Optimization (BCO) has proven to be capable of solving high-level combinatorial problems, like the Flight-Gate Assignment Problem (FGAP), with fast convergence performances. However, given that the FGAP can be often affected by uncertainty or approximation in data, in this paper we develop a new metaheuristic algorithm, based on the Fuzzy Bee Colony Optimization (FBCO), which integrates the concepts of BCO with a Fuzzy Inference System. The proposed method assigns, through the multicriteria analysis, airport gates to scheduled flights based on both passengers’ total walking distance and use of remote gates, to find an optimal flight-to-gate assignment for a given schedule. Comparison of the results with the schedules of real airports has allowed us to show the characteristics of the proposed concepts and, at the same time, it stressed the effectiveness of the proposed method.     

Integrated airline planning: Robust update of scheduling and fleet balancing under demand uncertainty

The airline schedule planning problem is defined as the sequence of decisions that need to be made to obtain a fully operational flight schedule. Historically, the airline scheduling problem has been sequentially solved. However, there have already been many attempts in order to obtain airline schedules in an integrated way. But due to tractability issues it is nowadays impossible to determine a fully operative and optimal schedule with an integrated model which accounts for all the key airline related aspects such as competitive effects, stochastic demand figures and uncertain operating conditions. Airlines usually develop base schedules, which are obtained much time in advance to the day of operations and not accounting for all the related uncertainty. This paper proposes a mathematical model in order to update base schedules in terms of timetable and fleet assignments while considering stochastic demand figures and uncertain operating conditions, and where robust itineraries are introduced in order to ameliorate miss-connected passengers. The proposed model leads to a large-scale problem which is difficult to be solved. Therefore, a novel improved and accelerated Benders decomposition approach is proposed. The analytical work is supported with case studies involving the Spanish legacy airline, IBERIA. The presented approach shows that the number of miss-connected passengers may be reduced when robust planning is applied.