三端口双向直流变换器的负序平衡应用

基于三端口双向直流变换器能实现各端口之间有功能量自由传输的特点,提出了其在负序电流平衡方面的新型应用方法及电路拓扑．该方法克服了传统负序电流平衡方法不能实现三相桥臂之间有功能量交换的问题,能有效改善三相电网的不平衡问题．本文对三端口双向直流变换器工作原理、负序电流平衡方法,以及基于该方法的负序平衡系统容量关系进行了详细分析,提出了系统控制策略．通过仿真验证了三端口双向直流变换器负序平衡应用的可行性及系统控制策略的有效性．在合适的控制策略下,本拓扑能同时实现包括负序、无功和谐波电流在内的综合补偿．     

农村公路网等级结构灰色多目标优化模型研究

通过分析当前农村公路网等级结构确定方法,指出路网等级结构确定方法中优化目标的优先顺序以及在约束条件下的技术系数和资源约束都存在灰度的问题.运用灰色系统理论原理,构建了农村公路网等级结构灰色多目标优化模型.该模型使公路网规划者在农村公路网等级结构确定存在灰度的情况下,得到满意可行的结论.     

爆炸作用下钢绞线斜拉索破坏模式和剩余承载性能试验

为研究爆炸荷载作用下斜拉桥钢绞线斜拉索的破坏模式和剩余承载性能,开展了8根15.7-7钢绞线斜拉索试件的野外爆炸试验以及爆炸损伤钢绞线的静力轴向拉伸试验,得到了钢绞线斜拉索在接触爆炸及近距离爆炸作用下的破坏形态和损伤钢绞线的剩余承载力;并根据断丝数量和承载力损失定量比较了高密度聚乙烯护套(HDPE)、单层钢管护套(SST)、双层钢管护套(DST)以及泡沫铝夹层钢管护套(FAFST)4种不同防护措施的抗爆防护效果。研究结果表明：在接触/近距离爆炸作用下,钢绞线斜拉索的损伤破坏主要表现为正对爆炸作用区域部分钢丝断裂和局部横向变形;采用FAFST防护可以有效地改善钢绞线斜拉索的破坏程度,HDPE防护效果有限;相较于无防护的祼索,SST与DST防护反而加剧了斜拉索试件的损伤程度;爆炸损伤钢绞线的剩余承载力与剩余钢丝数量成正比。基于试验结果和回归分析方法,提出了爆炸损伤钢绞线斜拉索剩余承载力评估的实用公式,可以在爆炸灾害后根据钢绞线断丝破坏情况,快速评估斜拉索的剩余承载能力。     

在役码头桩基承载力静载试验

传统在役码头的桩基承载力检测需拆除上部结构,使得检测工作量大且工期较长。以某旧码头桩基检测工程为依托,阐述在保持上部结构完整的情况下,快速准确检测桩基承载力的方法。首先通过数值模拟分析上部结构与桩基荷载分担比例,初步确定试验堆载量。同时在码头下部的桩头安装传感器,加载过程中能较精确的测得桩顶的实际荷载。用该方法顺利地对该码头2根桩承载力进行检测,取得了较好的效果。     

桩土作用下缺陷大管桩单桩极限承载力理论计算

码头大管桩出现的不同类型缺陷,如混凝土脱落和钢筋锈蚀,会造成码头承载能力下降。基于完整桩-土体系的荷载传递理论,推导获得缺陷桩剩余极限承载力的计算公式。依托工程实践,考察混凝土剥落和钢筋锈蚀这两种缺陷类型对单桩极限承载力的影响,并得出相应结论：混凝土剥落位置对单桩竖向极限承载力和单桩抗拔极限承载力有影响,混凝土剥落位置位于土层内部会减小单桩竖向极限承载力和单桩抗拔极限承载力,单桩竖向极限承载力减小0.07%,单桩抗拔极限承载力减小1.72%;但对桩身竖向承载力却不同,混凝土缺损对桩身轴心受压承载力减小25.65%,钢筋损失对桩身竖向承载力减小20.95%。混凝土缺损比钢筋缺损对桩身各项承载力的影响要大得多。     

桩基后压浆技术在地铁盖挖车站中的应用

结合无锡地铁大型盖挖车站工程,采用自平衡静载荷试验,对软黏土地基中大直径钻孔灌注桩桩端压浆前后承载力性能进行对比测试研究。结果表明:在硬塑黏土层桩端压浆效果明显,压浆后桩极限承载力增强比例达9.9%~54.6%,桩端阻力增强达30%以上。对压浆后桩承载力实测增值与现行规范理论计算增值比较,结果表明:实测结果能较好地符合规范,可为同类地区地铁桩基后压浆施工提供借鉴。     

Quantifying travel time variability at a single bottleneck based on stochastic capacity and demand distributions

Travel time reliability, an essential factor in traveler route and departure time decisions, serves as an important quality of service measure for dynamic transportation systems. This article investigates a fundamental problem of quantifying travel time variability from its root sources: stochastic capacity and demand variations that follow commonly used log-normal distributions. A volume-to-capacity ratio-based travel time function and a point queue model are used to demonstrate how day-to-day travel time variability can be explained from the underlying demand and capacity variations. One important finding is that closed-form solutions can be derived to formulate travel time variations as a function of random demand/capacity distributions, but there are certain cases in which a closed-form expression does not exist and numerical approximation methods are required. This article also uses probabilistic capacity reduction information to estimate time-dependent travel time variability distributions under conditions of non-recurring traffic congestion. The proposed models provide theoretically rigorous and practically useful tools for understanding the causes of travel time unreliability and evaluating the system-wide benefit of reducing demand and capacity variability.     

The train platforming problem: The infrastructure management company perspective

If railway companies ask for station capacity numbers, their underlying question is in fact one about the platformability of extra trains. Train platformability depends not only on the infrastructure, buffer times, and the desired departure and arrival times of the trains, but also on route durations, which depend on train speeds and lengths, as well as on conflicts between routes at any given time. We consider all these factors in this paper. We assume a current train set and a future one, where the second is based on the expected traffic increase through the station considered. The platforming problem is about assigning a platform to each train, together with suitable in- and out-routes. Route choices lead to different route durations and imply different in-route-begin and out-route-end times. Our module platforms the maximum possible weighted sum of trains in the current and future train set. The resulting number of trains can be seen as the realistic capacity consumption of the schedule. Our goal function allows for current trains to be preferably allocated to their current platforms.Our module is able to deal with real stations and train sets in a few seconds and has been fully integrated by Infrabel, the Belgian Infrastructure Management Company, in their application called Ocapi, which is now used to platform existing and projected train sets and to determine the capacity consumption.     

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.     

水平荷载作用下钢管支架的弹塑性极限承载力分析

通过考虑桩土相互作用以及材料和几何非线形，对钢管支架在水平荷栽作用下的极限承载力及其影响因素进行了分析，从而对钢管支架的安全度作出合理的评价。