竖向动荷载下桩尖附近应力场研究

在合理假设桩侧摩阻力在桩尖平面应力分布的基础上,推导了桩尖附近应力场公式,得出了在桩长、桩径、桩周土内摩擦角一定的情况下,桩尖地基应力与桩顶竖向动荷载的时程反应规律。并对影响桩尖地基应力的各因素进行了敏感分析,为桩尖附近其他地下结构的验算提供依据。     

物流中心选址与规模的层次优化模型

同时考虑生产商和分销商的利益,采用双层规划模型来描述物流中心选择以及规模问题.上层规划从生产商的角度出发,通过调整物流中心位置及规模使生产商的生产成本、运输成本和经营成本最小；下层规划从分销商的角度出发,通过调整从各个物流中心进货的数量使自身的平均运输成本最低.设计了基于遗传算法的求解方法,并用数值算例验证了模型和算法的有效性.     

基于谐波平衡法的Broyden网格分区迭代算法

在融合Broyden算法与网格分区思想的基础上,提出一种基于谐波平衡法且适用于对间隙型非线性动力系统进行频响特性分析的新型Broyden网格迭代算法.阐述了Broyden网格迭代算法的基本思想与计算流程.对决定该算法有效性的Broyden算法发散特性及不完整变量循环迭代过程等关键特性进行了分析与讨论.通过与相关文献采用的二分法所得的同等条件下的计算结果进行对比,证明该算法比二分法具有更好引导性与更全面的求解能力.通过网格分区的引导,该方法避免了数值迭代方法中普遍面临的迭代初值的盲目选择问题,为基于谐波平衡法全面考察间隙型非线性动力系统的频响特性提供了新途径.     

CTC系统内部UPS电源切换电路改进方案

CTC系统内部UPS电源切换易产生瞬间冲击电流过大，引发电源屏内部CTC电源模块出现过载保护，CTC系统断电出现黑屏等问题。通过对CTC系统内部UPS电源切换电路进行改进，有效确保CTC系统设备运用安全稳定。     

Multi-objective optimization of train routing problem combined with train scheduling on a high-speed railway network

Based on train scheduling, this paper puts forward a multi-objective optimization model for train routing on high-speed railway network, which can offer an important reference for train plan to provide a better service. The model does not only consider the average travel time of trains, but also take the energy consumption and the user satisfaction into account. Based on this model, an improved GA is designed to solve the train routing problem. The simulation results demonstrate that the accurate algorithm is suitable for a small-scale network, while the improved genetic algorithm based on train control (GATC) applies to a large-scale network. Finally, a sensitivity analysis of the parameters is performed to obtain the ideal parameters; a perturbation analysis shows that the proposed method can quickly handle the train disturbance.     

隔振器和垫板贴合率的测量方法研究

在机械隔振系统中,采用传统的蓝油法和塞尺法都无法较完整地反映金属隔振器与垫板间的接触状况。考虑到金属间的贴合程度主要由组件所受的压力及两接触面物理特性所决定,研究提出了一种用于检测垫板和金属隔振器贴合率的工程实用测量方法,并通过多样本试验,证实了方法的可行性。该方法操作简便,检测结果可信。     

A dynamic model for marginal cost pricing of port infrastructures

ABSTRACT

A dynamic model for marginal cost pricing of port infrastructures links costs to system performance by combining a power-law function with time-dependent queueing analysis. Additionally, the model incorporates the marginal cost of capacity, including the effects of economies of scale. This allows the calculation of the marginal cost price under a dynamic framework. The model accounts for nonlinear behaviour of port demand, which is sensitive to price and service levels. The effects over time of cost and service levels on the port’s operational performance are quantified. The proposed model allows determining the optimal timing for capacity investment. The model is a starting point for the application of marginal cost pricing to ports. However, for practical application of such pricing method it is necessary to apply a system’s approach, as productivity and costs must be assessed at the terminal’s component level. This should allow the derivation of a marginal cost function at the terminal’s component level.     

TRIP DISTRIBUTION MODELLING USING FUZZY LOGIC AND A GENETIC ALGORITHM

This article examines possibilities for the application of soft computing techniques for the prediction of travel demand. The model, based on fuzzy logic and a genetic algorithm, successfully solves the trip distribution problem. The possibilities of using the proposed model in solving trip generation, modal split and route choice problems have also been indicated. The model has been tested on a real numerical example. Exceptionally good correspondences between estimated and real values of passenger flows have been obtained.