基于路段能力可靠性的城市交通网络设计

在介绍城市交通网络设计和概率用户平衡配流模型基本思想和内容的基础上,建立了考虑可靠性条件的城市交通网络设计双层规划模型,上层模型在投资约束条件下寻求系统总阻抗最小,下层模型兼顾路段能力可靠性与用户平衡配流条件,从而使城市交通网络备用能力最大,并针对该问题设计了可求得局部或全局最优解的混沌优化启发式算法,最后选用一个小型网络作为算例进行验证。结果说明该模型有一定的实际应用价值且设计的混沌优化算法也较为有效。     

高填土路堤边坡地震稳定性静动力法比较分析

研究用不同的计算方法，输入不同的地震波和地震烈度，同时结合路堤有关参数的变化，找出高填土路堤边坡稳定系数的变化规律。计算分析时采用静力法、拟静力法、静力有限元法和动力有限元法；动力反应分析时分别输入美国EL Centro地震波和按规范反应谱拟合的人工合成地震波。结果表明：路堤有关填土参数的变化对稳定系数的影响程度各不相同。     

Dynamic analysis of a pantograph-catenary system using absolute nodal coordinates

The dynamic interaction between the catenary and the pantographs of high-speed trains is a very important factor that affects the stable electric power supply. In order to design a reliable current collection system, a multibody simulation model can provide an efficient and economical method to analyze the dynamic behavior of the catenary and pantograph. In this article, a dynamic analysis method for a pantograph-catenary system for a high-speed train is presented, employing absolute nodal coordinates and rigid body reference coordinates. The highly flexible catenary is modeled using a nonlinear continuous beam element, which is based on an absolute nodal coordinate formulation. The pantograph is modeled as a rigid multibody system. The analysis results are compared with experimental data obtained from a running high-speed train. In addition, using a derived system equation of motion, the calculation method for the dynamic stress in the catenary conductor is presented. This study may have significance in providing an example that a structural and multibody dynamics model can be unified into one numerical system.     

新形势下大城市自行车规划方法探讨——以马鞍山市为例

在探究现状自行车交通问题的本质和分析自行车发展环境的基础之上,归纳总结了自行车交通系统规划的框架体系;提出了自行车路网规划中的分块化和分类化规划的思路;探讨了交通系统规划中的路网指标和自行车道路的主要技术指标;并以马鞍山市为例进行了应用研究。     

枢纽互通式立交规划、选型与设置

结合枢纽互通式立交的特点,阐述了在立交规划、选型和设置时应遵循的一般原则和定位时考虑的主要因素,并介绍了几种有代表性的枢纽互通式立交,以供设计参考。     

路网车流径路选择随机相关机会规划模型及其混合遗传算法

研究随机环境下车流径路的选择问题,首先给出路网车流径路方案可靠性的定义,并在此基础上建立随机环境下车流径路选择问题的随机相关机会多目标规划模型。模型考虑了车流具有不同权重的情况,目标为极大化车流径路方案的可靠性及极小化期望总费用。用C＋＋语言编写K短路算法,并在Visual Studio 6.0上基于该算法开发了软件,用于计算网络上任意两点之间的K短路。以该软件计算出的K短路作为节点间的可选径路集,提出一种基于随机模拟的混合遗传算法。算例表明,在不同交叉和变异概率的条件下算法均可在给定进化代数内收敛至相同的最优解,有较强的适应性。     

非对称悬索桥主缆线形计算流程及程序开发

探讨非对称悬索桥缆索线形分析的方法.设计程序化流程图,通过MATLAB软件将悬索桥成桥状态和空缆状态主缆线形程序化,并用普立悬索桥作为算例进行程序正确性验证.计算表明,该方法具有使用方便、计算速度快、精度高等优点,可在设计及施工中应用.     

基于VC＋＋实现公路工程试验数据的处理系统

介绍了在公路工程试验室管理中,运用Visual VC＋＋实现公路工程试验室数据处理系统的方法,其中包括数据存储、窗口界面、报表打印等主要功能的构成。叙述了系统总体设计、数据存储、菜单设计、工具栏设计、用户窗口设计及报表打印的步骤和方法。     

A multiobjective chance constrained programming model for supplier selection under uncertainty

Risk management is an inherent part of supplier selection. While companies are enjoying the benefits of outsourcing, risks brought by this practice should be taken into account in the process of decision making. This paper presents a multiobjective stochastic sequential supplier allocation model to help in supplier selection under uncertainty. Demand for products, capacities at suppliers as well as transportation and other variable costs are the main sources of uncertainty and are modeled using probability distributions. Disruptions are exogenous events and the model provides proactive mitigation strategies against disruptions by assigning backup suppliers who can be used in case of a default at a primary supplier. When there is no disruption, the model’s solution is an optimal supplier order assignment, considering operational risks.     

Competition and disruption in a dynamic urban supply chain

Rapid changes and complexities in business environments have stressed the importance of interactions between partners and competitors, leading supply chains to become the most important element of contemporary business environments. There is a concomitant need for foresight in describing supply chain performance in all operating environments, including those involving punctuated disruptions. Furthermore, the urban metropolis is now widely recognized to be an environment which is especially vulnerable to supply chain disruptions and for which integrated supply chain decisions can produce very substantial net benefits. Accordingly, this paper presents a dynamic supply chain network model formulated as a differential variational inequality; the model is fashioned to allow consideration of supply chain disruption threats to producers, freight carriers, and retail enterprises. The DVI is solved using a fixed-point algorithm, and a simple numerical example, introduced to illustrate how the impacts of supply chain disruptions may be quantified, is presented.