钢桁梁悬索桥承载能力的静载试验评估分析

早期修建的小跨径钢桁梁悬索桥目前多已接近设计年限,正确评估其承载能力是桥梁维修、加固和技术改造的基本依据,也是桥梁管理的重要内容。文中介绍了桥梁承载能力评估的静载试验方法,分析了中美两国桥梁评估规范的异同;同时结合泸定县城南大桥的实例,在计算分析现场检测资料和静载试验结果的基础上评估其承载能力状况,并提出了恢复承载能力的加固措施和建议。     

现状铁路地道砖砌挡土墙的结构设计及验算

对沧州市黄河路下穿京沪铁路处地道节点的现状砖砌挡墙进行翻建修复,对不同高度的挡墙进行了计算,结合重力式挡土墙抗弯和抗剪承载力值,得出了不同高度挡土墙的适用结构形式,可供相似工程的设计及建设工作者参考.     

基于船种聚类的航道通过能力量化方法

为准确计算航道通过能力,针对单双向通航方式并存的混合通航航道,建立了基于船种聚类的航道通过能力量化模型.根据海港航道通航管理规则,对不同船舶种类进行分类,通过聚类算法确定船舶种类特征及其分布概率.与传统航道通过能力计算方法相比,对不同种类船舶所占航道资源分别附以不同权重,同时考虑船舶通航方式改变对航道通过能力的影响,能够更加准确地量化航道通过能力.应用天津港大沽沙航道数据进行了实例分析,目前航道实际月通过船舶约为1 905艘次,计算得到大沽沙航道月通过能力为2 350艘次,并且与港口公共混合通航航道通过能力计算结果4 455艘次/月相对比,前者的结果更符合实际情况,后者的结果明显大于实际航道通过能力.结果表明,基于船种聚类的航道通过能力量化方法能更加准确地反映航道实际情况.     

混合交通流条件下区域交通信号控制优化模型

针对传统区域交通控制技术无法应对机非冲突干扰的问题, 结合中国城市道路混合交通流的特点, 研究了交叉口与路段非机动车对机动车的干扰。分析了区域路网机动车交通特征, 确定了混合交通特性相似的区域。基于路段非机动车的阻滞作用, 分析了交叉口通行能力的折减与相邻交叉口相位差的优化。以区域路网机动车总延误为优化目标, 建立了非机动车影响条件下的区域交通信号控制优化模型, 优化了信号周期时长、绿信比和相位差等参数, 并利用遗传算法求解模型。利用VISSIM仿真软件, 以上海市杨浦区五角场环形区域路网为例对优化模型进行验证。验证结果表明: 现状信号控制方案下区域路网7个交叉口机动车的车均延误为24.5~42.9s, 平均为35.99s, 路网总延误为256.39h, 优化后交叉口的车均延误为21.8~36.4s, 平均为30.12s, 路网总延误为214.57h, 7个交叉口车均延误减少了10%~24%, 平均为16.31%。可见, 优化模型能够显著降低区域路网车均延误与总延误, 提高区域路网通行效率。     

一种装舰约束条件下的武器通道作战能力计算方法

根据舰载作战系统武器打击通道的作战流程,分析武器通道中传感器视界、打击武器射界和时延性能等参数,提出一种考虑装舰约束条件和各系统设备战技指标匹配性的武器通道作战能力计算方法。该方法通过综合权衡武器通道传感器、指控系统和火力打击设备战技指标在实际装舰条件下的能力匹配性与战技指标的下降程度,将该武器通道的作战能力揉合成几个主要的战技指标,建立效用指数模型对指标进行归一化,最后,通过层次分析法对该武器通道的作战能力进行量化分析。仿真结果显示,在装舰约束条件下,防空反导作战武器通道反应时间、杀伤区域和系统多目标能力的匹配性对武器通道的作战能力影响较大。     

桩靴支护结构对桩端极限承载力的影响

以渤海湾\     

新建海船拖航通过长江尹公洲狭水道尺度适应性研究

为保障新建海轮编队拖航的安全,掌握新建海船拖航占用水域与实际通航航道尺度的适应性,选择最具代表性的3万总t级新建海船船型编队尺度,根据船舶操纵理论,充分考虑风、流影响下的漂移量,分析计算该船队拖航通过长江下游尹公洲狭水道所需尺度.     

上汽通用五菱供应商注塑机台统计分析

上汽通用五菱汽车股份有限公司(下面简称“上通五”)曾经作为在国内连续十几年的单一车企销量冠军,年产销量在2015年就已突破200万辆大关,打造过多个爆火车型,一度被网友们称作“神车”专业户。上通五连续多年巨大的年产销量,多个爆火车型的快速上量对供应商的生产能力也提出了巨大的挑战。本文将对上通五注塑件供应商的注塑能力做主要分析,全面统计上通五在柳州,青岛,重庆三个基地的供应商注塑机台不同吨位区间的机台数量,产能利用率,自动化普及率及注塑机台的综合评分等信息。掌握现有注塑机台的信息将有助于推进供应商的专业化发展,提前识别潜在的产能风险,面对供应商产能不足的情况能快速制定解决措施,平衡各供应商的业务,提升供应商现有的产能利用率,推进设备技术参数统一便于零件平台化设计,识别优质供应商资源建立战略合作关系。     

A capacity maximization scheme for intersection management with automated vehicles

With the advent of connected and automated vehicle technology, in this paper, we propose an innovative intersection operation scheme named as MCross: Maximum Capacity inteRsection Operation Scheme with Signals. This new scheme maximizes intersection capacity by utilizing all lanes of a road simultaneously. Lane assignment and green durations are dynamically optimized by solving a multi-objective mixed-integer non-linear programming problem. The demand conditions under which full capacity can be achieved in MCross are derived analytically. Numerical examples show that MCross can almost double the intersection capacity (increase by as high as 99.51% in comparison to that in conventional signal operation scheme).     

Roads in transition: Integrated modeling of a manufacturer-traveler-infrastructure system in a mixed autonomous/human driving environment

This paper develops an integrated model to characterize the market penetration of autonomous vehicles (AVs) in urban transportation networks. The model explicitly accounts for the interplay among the AV manufacturer, travelers with heterogeneous values of travel time (VOTT), and road infrastructure capacity. By making in-vehicle time use more leisurely or productive, AVs reduce travelers’ VOTT. In addition, AVs can move closer together than human-driven vehicles because of shorter safe reaction time, which leads to increased road capacity. On the other hand, the use of AV technologies means added manufacturing cost and higher price. Thus, traveler adoption of AVs will trade VOTT savings with additional out-of-pocket cost. The model is structured as a leader (AV manufacturer)-follower (traveler) game. Given the cost of producing AVs, the AV manufacturer sets AV price to maximize profit while anticipating AV market penetration. Given an AV price, the vehicle and routing choice of heterogeneous travelers are modeled by combining a multinomial logit model with multi-modal multi-class user equilibrium (UE). The overall problem is formulated as a mathematical program with complementarity constraints (MPCC), which is challenging to solve. We propose a solution approach based on piecewise linearization of the MPCC as a mixed-integer linear program (MILP) and solving the MILP to global optimality. Non-uniform distribution of breakpoints that delimit piecewise intervals and feasibility-based domain reduction are further employed to reduce the approximation error brought by linearization. The model is implemented in a simplified Singapore network with extensive sensitivity analyses and the Sioux Falls network. Computational results demonstrate the effectiveness and efficiency of the solution approach and yield valuable insights about transportation system performance in a mixed autonomous/human driving environment.