枝节加载的高性能双模双频段滤波器

随着通信产业的蓬勃发展,双频段无线通信系统对双频段滤波器的要求愈来愈高。实现滤波器的带宽和中心频率可控且保持良好的阻带特性一直是难以解决的问题。该文提出了一种采用枝节加载双模开环谐振器设计的微带双模双频段滤波器。该双模双频段滤波器是通过两个工作在不同频段的单频段双模滤波器并联而成的,因此滤波器两个频段的带宽和中心频率是独立可控的。在滤波器的设计中,采用延长耦合馈线的方法实现了过耦合,进而达到了抑制寄生通带的效果。最后,设计了一个工作在2.4/3.5 GHz的应用于无线通信领域的双频段带通滤波器,并对其进行了加工和测量。测量结果和仿真结果的良好吻合验证了设计理论的合理性。     

停车换乘设施使用者调查

为了探讨停车换乘设施吸引的出行需求行为特性,在北京市进行了停车换乘设施使用者问卷调查.采用行为调查和意向调查相结合的方式,深入分析停车换乘设施使用者的出行行为特性和换乘行为意愿.结果显示,停车换乘者主要是全职通勤和中等偏高收入出行者,其驾车到达停车换乘设施的时间集中在6～30 min,乘坐公共交通的时间为30～60 m...     

基于出行链的有车家庭假日出行方式组合研究

为了研究有车家庭居民出行链与出行方式组合的影响关系,将出行链划分为5种类型,并将出行链属性分为4类.利用2009年济南市居民出行调查数据,用基于多项logit模型的基本理论与建模方法,对影响城市居民出行方式组合的因素进行了研究,重点分析了出行链各项属性对居民出行方式选择的影响.模型分析结果表明,出行链中往返行程数量、出行链模式、出行链时间、出行链费用对于出行者选择何种出行方式组合有显著的影响.出行链复杂性的增加并不会直接导致私家车出行的增加,而随着往返行程数的增加会导致单一非私家车出行效用的显著增加.     

通勤班车出行线路优化研究

基于通勤班车出行者意向调查与分析,掌握班车出行行为特性,建立了基于ML模型的班车出行前端衔接方式选择模型,确定前端衔接时间.并以满足最大出行需求、线路总体通行时间最短的路径寻优双重目标,建立了班车线路优化模型,并通过启发式算法进行求解.研究结果表明,约占78.1%的班车出行者前端衔接时间占总出行时间的比例在0.2～0.5;85%以上的班车出行者希望(容忍)最早出发时间不早于实际出发时间,通过实例验证可通过通勤班车线路的优化设置来提高公共交通出行.     

后压浆技术在石家庄隧道钻孔灌注桩中的应用

钻孔灌注桩的后压浆技术在桥涵和房屋建筑中应用很多,但注浆工艺、注浆参数对岩土的适用性都有待进一步研究.京石客专石家庄隧道的盖挖段施工中由于地质原因灌注桩达不到设计桩长,采用成桩后对支撑桩进行后注浆处理的措施,以提高支撑桩的单桩承载力.介绍了钻孔灌注桩后注浆的作用机理,进行了注浆前与注浆后桩基承载力的对比计算,阐述了具体...     

船舶设计项目任务规划及进度控制系统研究

通过对船舶设计项目特点进行研究,针对现阶段船舶设计任务规划与进度控制方面存在的主要问题,应用先进的项目管理方法与信息化综合集成技术,开发了船舶设计项目任务规划及进度控制系统.应用该系统,方便项目经理进行任务分解,编制各图纸间的逻辑关系,生成合理的任务甘特图,控制项目进度及管理文档;也方便设计人员查询任务及进度要求,明确责任,交流信息.该系统成功应用于船舶设计项目,不仅减轻了管理者的工作量,而且显著增强了管理的力度与效率.     

Dijkstra算法在后勤补给运输中的应用及其优化

文章在分析传统Dijkstra算法的基础上,针对传统Dijkstra算法存在的两点不足之处,引入了一种优化算法。当后勤补给运输的网络规模较大及其关联矩阵为一个稀疏矩阵时,以上优化算法与传统Dijkstra算法相比,能大大减少计算次数及比较次数,提高运算效率。     

Dynamic correction of the steering-characteristic curve and application to an EPS control system

The steering torque of an electric-power steering (EPS) motor is interrelated with the performance of the EPS control system, therefore calculating an exact steering torque is critical in this application. This study presents a dynamic correction method that greatly decreases the calculated error in the steering torque; the PID controller demonstrated here is therefore suitable for the demands of this system. Based on an analysis of the detection process of the steering torque sensor, we first deduced that the variation of the system resistance torque equals the difference between the measured value of the steering torque and the ideal one in the previous cycle. Based on this result, we then proposed a dynamic correction method. Finally, a comparison of the simulated and experimental results for several vehicles evidenced the effectiveness of this dynamic correction method.     

Development of a fiber-reinforced plastic armrest frame for weight-reduced automobiles

This paper presents the design optimization process of a short fiber-reinforced plastic armrest frame to minimize its weight by replacing the steel frame with a plastic frame. The analysis was carried out with the equivalent mechanical model and design of experiment (DOE) method. Instead of considering the whole structure, it is divided into three simpler regions to reduce the complexity of the problem through examining its structural characteristics and load conditions. The maximum stress and deflection of the regions that carry the normal load are calculated by the analytical mathematical form derived from an equivalent model. The other regions loaded by contact stress are handled by FEM (finite element method), the DOE method, and the RSM (response surface model). To optimize the design variables in both cases, the object functions derived from these calculations are solved with a CAE (computer aided engineering) tool. This method clearly shows the mechanical and mathematical representation of structural optimization and reduces the computing costs. After design optimization, the weight of the optimum plastic-based armrest frame is reduced by about 18% compared to the initial design of a plastic frame and is decreased by 50% in comparison with the steel frame. Some prototypical armrest frames were also made by injection molding and tested. The research results fulfilled all of the design requirements.     

Design methodology of hybrid electric vehicle energy sources: Application to fuel cell vehicles

This paper presents a methodology to optimize the sizing of the energy and power components in a fuel cell electric vehicle from the driving mission (which includes driving cycles, a specified acceleration and autonomy requirements). The fuel cell and the Energy Storage System associated (battery or/and ultra capacitor) design parameters are the numbers of series and parallel branches respectively Nsi and Npi. They are set so as to minimize the objective function that includes mass, cost, fulfilling the performance requirements and respect the technological constraints of each power component through a penalty function. The methodology is based on a judicious combination of Matlab-Simulink® for the global simulation and a dedicated software tool Pro@Design®. Both are well suited to treat inverse problems for the optimization. An application for a fuel cell/battery powertrain illustrates the feasibility of the proposed methodology.