合龙方案对多跨连续梁桥施工监控的影响分析

多跨连续梁的合龙顺序对结构成桥累计位移和内力有较大影响,以1座(48+4×80+48)m预应力混凝土连续梁桥为例,根据不同的合龙方案确定3种工况,对不同工况下的桥梁结构建立不同结构体系转换的施工阶段分析有限元模型,分析合龙顺序及合龙期间的预应力张拉阶段对施工阶段的预拱度及成桥内力的影响,对比分析多跨连续梁桥合龙口两端产生较大位移差的原因。提出多跨连续梁桥线形监控难度的主要影响因素为累计位移最大值和合龙口两端的累计位移差。结果表明,合龙顺序对梁体施工中的预拱度设置量影响较大,特别是不同结构体系下预应力张拉效应差别较大,合理的合龙顺序和分批分阶段张拉预应力可降低施工过程中线形监控的难度,根据分析结果提出合理的合龙顺序建议。     

Stability of a Class of Linear Systems on Hilbert Space

Thelinearcontrolsystemunderstudyisddtx(t)=Ax(t) Bu(t), t>0x(0)=x0,(1)whereAisthegeneratorofanexponentiallystableC semigroupT(t)inaHilbertspaceX, andBisaboundedoperatorfromtheHilbertspaceYtoX.Eq. (1) hasreceivedmuchattentionunderthehy pothesisthatAgenerate…     

探讨预测路外伤亡事故的方法

分析了几种预测路外伤亡事故的方法，其中加权综合预测法考虑了两种或两种以上预测结果的权重，因此可减少预测误差，提高预测的准确性，是一种值得推广的预测方法。     

大跨度连续箱梁桥悬臂施工线形监控方法

文章基于佛山市桂澜大桥连续箱梁悬臂施工实例,阐述了大桥施工线形监控的内容及方法,并利用有限元模型对该桥各施工阶段的累计挠度和预拱度值等线形指标进行了计算分析。     

预应力混凝土连续梁桥线形控制影响因素研究

文章结合沪宁城际高速铁路某预应力连续梁桥工程实例,采用有限元计算软件,分析了混凝土弹性模量、混凝土容重、预应力、温度、混凝土收缩徐变等因素对该桥主梁线形控制的影响,并提出了相应的控制措施。     

Data-driven linear decision rule approach for distributionally robust optimization of on-line signal control

We propose a two-stage, on-line signal control strategy for dynamic networks using a linear decision rule (LDR) approach and a distributionally robust optimization (DRO) technique. The first (off-line) stage formulates a LDR that maps real-time traffic data to optimal signal control policies. A DRO problem is solved to optimize the on-line performance of the LDR in the presence of uncertainties associated with the observed traffic states and ambiguity in their underlying distribution functions. We employ a data-driven calibration of the uncertainty set, which takes into account historical traffic data. The second (on-line) stage implements a very efficient linear decision rule whose performance is guaranteed by the off-line computation. We test the proposed signal control procedure in a simulation environment that is informed by actual traffic data obtained in Glasgow, and demonstrate its full potential in on-line operation and deployability on realistic networks, as well as its effectiveness in improving traffic.     

Real-time energy-efficient traffic control via convex optimization

This article proposes a macroscopic traffic control strategy to reduce fuel consumption of vehicles on highways. By implementing Greenshields fundamental diagram, the solution to Moskowitz equations is expressed as linear functions with respect to vehicle inflow and outflow, which leads to generation of a linear traffic flow model. In addition, we build a quadratic cost function in terms of vehicle volume to estimate fuel consumption rate based on COPERT model. A convex quadratic optimization problem is then formulated to generate energy-efficient traffic control decisions in real-time. Simulation results demonstrate significant reduction of fuel consumption on testing highway sections under peak traffic demands of busy hours.     

Coordinated transit signal priority supporting transit progression under Connected Vehicle Technology

In this paper, a person-delay-based optimization method is proposed for an intelligent TSP logic that enables bus/signal cooperation and coordination among consecutive signals under the Connected Vehicle environment. This TSP logic, called TSPCV-C, provides a method to secure the mobility benefit generated by the intelligent TSP logic along a corridor so that the bus delay saved at an upstream intersection is not wasted at downstream intersections. The problem is formulated as a Binary Mixed Integer Linear Program (BMILP) which is solved by standard branch-and-bound method. Minimizing per person delay has been adopted as the criterion for the model. The TSPCV-C is also designed to be conditional. That is, TSP is granted only when the bus is behind schedule and the grant of TSP causes no extra total person delay.The logic developed in this research is evaluated using both analytical and microscopic traffic simulation approaches. Both analytical tests and simulation evaluations compared four scenarios: without TSP (NTSP), conventional TSP (CTSP), TSP with Connected Vehicle (TSPCV), and Coordinated TSP with Connected Vehicle (TSPCV-C). The measures of effectiveness used include bus delay and total travel time of all travelers. The performance of TSPCV-C is compared against conventional TSP (CTSP) under four congestion levels and five intersection spacing cases. The results show that the TSPCV-C greatly reduces bus delay at signalized intersection for all congestion levels and spacing cases considered. Although the TSPCV is not as efficient as TSPCV-C, it still demonstrates sizable improvement over CTSP. An analysis on the intersection spacing cases reveals that, as long as the intersections are not too closely spaced, TSPCV can produce a delay reduction up to 59%. Nevertheless, the mechanism of TSPCV-C is recommended for intersections that are spaced less than 0.5 mile away. Simulation based evaluation results show that the TSPCV-C logic reduces the bus delay between 55% and 75% compared to the conventional TSP. The range of improvement corresponding to the four different v/c ratios tested, which are 0.5, 0.7, 0.9 and 1.0, respectively. No statistically significant negative effects are observed except when the v/c ratio equals 1.0.     

Pole location control design of an active suspension system with uncertain parameters

This paper addresses the problem of robust control design for an active suspension quarter-car model by means of state feedback gains. Specifically, the design of controllers that assure robust pole location of the closed-loop system inside a circular region on the left-hand side of complex plane is investigated. Three sufficient conditions for the existence of a robust stabilizing state feedback gain are presented as linear matrix inequalities: (i) the quadratic stability based gain; (ii) a recently published condition that uses an augmented space and has been here modified to cope with the pole location specification; (iii) a condition that uses an extended number of equations and yields a parameter-dependent state feedback gain. Unlike other parameter-dependent strategies, neither extensive gridding nor approximations are needed. In the suspension model, the sprung mass, the damper coefficient and the spring constant are considered as uncertain parameters belonging to a known interval (polytope type uncertainty). It is shown that the parameter-dependent gain proposed allows one to impose the closed-loop system pole locations that in some situations cannot be obtained with constant feedback gains.