中低速磁浮轨排结构动力性能试验研究

测试了中低速磁浮轨排系统在列车通过时的动力响应,获得了轨排结构在动力荷载作用下的自振频率、动应力、位移动力系数以及螺栓力。结果表明：轨排结构的竖向振动一阶频率和二阶频率分别为9.088 Hz和17.614 Hz,横向振动的一阶频率和二阶频率分别为6.426 Hz和17.614 Hz;轨排结构的横向振动与竖向振动相耦联,但并非是扭转振动所致;导轨和轨枕的应力变化与车速关系不明显;在所测车速范围内,位移动力系数随着车速的增加呈增大趋势。     

基于J积分的含裂纹加筋板在单轴拉伸载荷下的极限强度计算

为研究含裂纹加筋板的极限拉伸强度,本文建立一系列不同长细比、不同裂纹长度、不同裂纹位置的含裂纹加筋板有限元模型,并基于J积分理论对其在单轴拉伸载荷下的极限强度进行了计算。结果发现含裂纹加筋板极限拉伸强度随加筋板长细比的增大略有减小,但减小的程度并不明显;含裂纹加筋板极限拉伸强度随裂纹长度的增大而减小,且减小的幅度逐渐增大;加强筋上的裂纹对含裂纹加筋板极限强度的影响小于底板上的裂纹,而裂纹同时出现在底板和加强筋上时对含裂纹加筋板极限拉伸强度的影响最大。表明含贯穿型裂纹的加筋板在单轴拉伸载荷下的剩余强度对加筋板长细比不敏感,而对裂纹长度较为敏感。     

延安火车站钢结构雨棚张弦梁施工关键技术

延安火车站无站台柱钢结构雨棚设计采用拱形张弦梁主体结构,介绍了工厂分段制作,拉索敷设、张拉、内力和变形检测,吊装、就位和上弦管内灌浆过程中采取的质量和安全保证措施,确保张弦梁变形和内力控制在规范允许范围内,节省了工期,取得了良好效果。     

欧洲标准下锚杆拉拔试验方法

结合阿尔及利亚东西高速公路M5标段锚杆挡土墙施工中锚杆试验实践,根据欧洲规范对锚杆吻合性试验和检验试验过程进行了详尽的叙述,对欧洲标准下锚杆拉拔试验工艺有指导意义。     

丹阳北二环大桥斜拉索施工技术

在丹阳北二环大桥斜拉索施工中,总结多座跨径小于150m的斜拉桥斜拉索施工技术,针对此前大型斜拉索施工技术进行了优化改进,特别是斜拉索的展索、挂索及张拉技术。     

索力测定常用公式精度分析

本文分析了常用的频率法测定索力公式的精度。利用作者建立的拉索非线性有限元法分析程序,可得到对应特定索力的拉索频率分布,基于此频率分布,采用不同的索力公式可推算出对应的索力。通过对比所得索力与设定索力可判断各公式的精度。本文以某斜拉桥的拉索为例,对处于不同张紧程度、不同长度的拉索进行了分析。分析结果给出了频率法测定索力时的注意事项,以及各公式的适用范围,并推荐了一种高精度的索力推算公式。     

水泥、乳化沥青及其用量对水泥-乳化沥青混合料性能的影响

通过对结合料为乳化沥青、水泥乳化沥青以及水泥的混合料进行马歇尔稳定度试验、劈裂强度试验以及抗压强度试验,分析了混合料为这3种结合料的情况下各自的强度增长规律和力学特性,得出了水泥乳化沥青复合结合料具有很强的优越性.     

聚丙烯纤维混凝土直接拉伸性能的试验研究

重点研究聚丙烯纤维增强混凝土在单轴直接拉伸荷载下的力学性能和纤维混凝土的单轴拉伸应力变形全曲线。提出单轴拉伸相对应力裂缝宽度曲线的理论方程式。由单轴拉伸全曲线得到了纤维混凝土的应力裂缝宽度曲线、断裂能及特征长度等。试验发现:当纤维体积掺量为0 14%时,纤维混凝土的轴心抗拉强度比基准混凝土提高20%,极限拉伸应变提高49%,断裂能提高68%,临界断裂时的最大裂缝宽度增加55%。聚丙烯纤维具有良好的阻裂性能,增强了硬化混凝土的能量吸收能力。     

The symmetric intersection design and traffic control optimization

It is well recognized that the left-turning movement reduces the intersection capacity significantly, because exclusive left turn phases are needed to discharge left turn vehicles only. This paper proposes the concept of Left-Hand Traffic (LHT) arterial, on where vehicles follow left-hand traffic rules as in England and India. The unconventional intersection where a LHT arterial intersects with a Right-Hand Traffic (RHT) arterial is named as symmetric intersection. It is only need three basic signal phases to separate all conflicts at symmetric intersection, while it at least need four signal phases at a conventional intersection. So, compared with the conventional intersection, the symmetric intersection can provide longer green time for the left-turning and the through movement, which can increase the capacity significantly. Through-movement waiting areas (TWAs) can be set at the symmetric intersection effectively, which can increase the capacity and short the cycle length furthermore. And the symmetric intersection is Channelized to improve the safety of TWAs. The Binary-Mixed-Integer-Linear-Programming (BMILP) model is employed to formulate the capacity maximization problem and signal cycle length minimization problem of the symmetric intersection. The BMILP model can be solved by standard branch-and-bound algorithms efficiently and outputs the lane allocation, signal timing decisions, and other decisions. Experiments analysis shows that the symmetric intersection with TWAs can increase the capacity and short the signal cycle length.     

A copula-based approach for estimating the travel time reliability of urban arterial

Estimating the travel time reliability (TTR) of urban arterial is critical for real-time and reliable route guidance and provides theoretical bases and technical support for sophisticated traffic management and control. The state-of-art procedures for arterial TTR estimation usually assume that path travel time follows a certain distribution, with less consideration about segment correlations. However, the conventional approach is usually unrealistic because an important feature of urban arterial is the dependent structure of travel times on continuous segments. In this study, a copula-based approach that incorporates the stochastic characteristics of segments travel time is proposed to model arterial travel time distribution (TTD), which serves as a basis for TTR quantification. First, segments correlation is empirically analyzed and different types of copula models are examined. Then, fitting marginal distributions for segment TTD is conducted by parametric and non-parametric regression analysis, respectively. Based on the estimated parameters of the models, the best-fitting copula is determined in terms of the goodness-of-fit tests. Last, the model is examined at two study sites with AVI data and NGSIM trajectory data, respectively. The results of path TTD estimation demonstrate the advantage of the proposed copula-based approach, compared with the convolution model without capturing segments correlation and the empirical distribution fitting methods. Furthermore, when considering the segments correlation effect, it was found that the estimated path TTR is more accurate than that by the convolution model.