冻融循环作用下路基边坡稳定性变化研究

为研究冻融循环作用对路基边坡稳定性的影响,建立了路基变形场及应力场的三维数值计算模型,并应用强度折减法求解路基边坡在冻融循环作用后的安全系数,分析了冻融作用范围内路基应力场和变形场的分布规律,得出冻融循环作用次数与路基边坡安全系数的关系。结果表明:冻融循环会改变路基边坡土体的力学性质,从而影响路基边坡的稳定性。路基边坡受到的冻融循环作用是引起路基病害的直接原因,反复的冻融循环作用将引起路基边坡稳定性的降低。     

缩减弹性模量有限元法计算加肋轴对称组合壳的极限载荷

将缩减弹性模量的思想融入基于轴对称壳单元的有限元分析,建立缩减弹性模量有限元法,计算加肋轴对称组合壳的极限载荷。建立壳单元弹性状态、局部屈服状态和截面屈服状态的判断条件;提出弹性模量调整策略和组合壳极限状态的判断方法,实现对加肋轴对称组合壳的塑性极限分析。编制了计算程序,算例表明该方法计算时间省,计算精度较高。     

气泡高速艇波浪中阻力及纵向运动模型试验研究

在高速拖曳水池里,开展了气泡高速艇规则波中阻力及纵向运动模型试验,研究了气流量、艇型、艇底开槽等因素对气层减阻率及艇体纵向运动性能的影响。结果表明:艇底形式对波浪中的气层减阻率有重要影响。艇底设置断阶时,在短波中减阻率为5%,长波中的减阻率达20.5%;艇底开槽时,在试验波长范围内,减阻率可达30%左右;对本身具有良好喷溅抑制作用的艇型,艇底直接喷气减阻率为8%,且不受波长变化的影响。艇底气层对纵向运动性能影响较小,长波中还略有改善;艇底槽深主要影响不喷气时的阻力,对饱和喷气下的阻力影响甚微。     

基于频域滤波的噪声识别去噪算法

在频域滤波的基础上,对图像的高频部分进行噪声识别,区分边缘与噪声,进而通过改进的空间滤波算法实施去噪,使图像边缘细节部分得到保护,再将处理后的高频图像与其对应的低频图像进行融合,以获得完整的高质量图像.实验结果表明通过新算法处理后的图像可以达到较好的降噪效果.     

一种解决OFDM信号功率降额问题的子载波预留方法

针对OFDM信号功率降额问题,提出一种新的子载波预留方法。该方法利用谷值补偿算法改善OFDM信号的立方度量性能,并使用动态峰值削减算法降低OFDM信号的峰均功率比,同时对原有迭代过程进行简化,合理地控制计算开销。与传统的功率降额处理方法相比,本方法能更高效地降低系统峰均功率比,更好地控制立方度量性能。仿真和分析表明,该方法很好地解决了OFDM信号功率降额问题。     

谈船舶温室气体减排措施

文中介绍了国际、国内在控制船舶排放方面的动向,提出了航运公司应对船舶减排最有效的途径及多项应对措施,并列举了船舶采取应对措施后的效果,供相关方面人员参考。     

谈船舶空气污染物产生和减排技术

随着全球化和贸易的快速增长,在货物运输中占有统治地位的船舶运输得到了空前的发展,船舶运力急剧增长,船舶空气污染物已成为严重的空气污染源之一,日益引起人们的高度重视。文中简要介绍了船舶空气污染物的产生、危害,主要介绍了氮氧化物、硫氧化物及颗粒物质的减排技术。     

Bus congestion, optimal infrastructure investment and the choice of a fare collection system in dedicated bus corridors

Microeconomic optimisation of scheduled public transport operations has traditionally focused on finding optimal values for the frequency of service, capacity of vehicles, number of lines and distance between stops. In addition, however, there exist other elements in the system that present a trade-off between the interests of users and operators that have not received attention in the literature, such as the optimal selection of a fare payment system and a designed running speed (i.e., the cruising speed that buses maintain in between two consecutive stops). Alternative fare payment methods (e.g., on-board and off-board, payment by cash, magnetic strip or smart card) have different boarding times and capital costs, with the more efficient systems such as a contactless smart card imposing higher amounts of capital investment. Based on empirical data from several Bus Rapid Transit systems around the world, we also find that there is a positive relationship between infrastructure cost per kilometre and commercial speed (including stops), achieved by the buses, which we further postulate as a linear relationship between infrastructure investment and running speed. Given this context, we develop a microeconomic model for the operation of a bus corridor that minimises total cost (users and operator) and has five decision variables: frequency, capacity of vehicles, station spacing, fare payment system and running speed, thus extending the traditional framework. Congestion, induced by bus frequency, plays an important role in the design of the system, as queues develop behind high demand bus stops when the frequency is high. We show that (i) an off-board fare payment system is the most cost effective in the majority of circumstances; (ii) bus congestion results in decreased frequency while fare and bus capacity increase, and (iii) the optimal running speed grows with the logarithm of demand.     

Hysteresis phenomena of a Macroscopic Fundamental Diagram in freeway networks

Observations of traffic pairs of flow vs. density or occupancy for individual locations in freeways or arterials are usually scattered about an underlying curve. Recent observations from empirical data in arterial networks showed that in some cases by aggregating the highly scattered plots of flow vs. density from individual loop detectors, the scatter almost disappears and well-defined macroscopic relations exist between space-mean network flow and network density. Despite these findings for the existence of well-defined relations with low scatter, these curves should not be universal. In this paper we investigate if well-defined macroscopic relations exist for freeway network systems, by analyzing real data from Minnesota’s freeways. We show that freeway network systems not only have curves with high scatter, but they also exhibit hysteresis phenomena, where higher network flows are observed for the same average network density in the onset and lower in the offset of congestion. The mechanisms of traffic hysteresis phenomena at the network level are analyzed in this paper and they have dissimilarities to the causes of the hysteresis phenomena at the micro/meso level. The explanation of the phenomenon is dual. The first reason is that there are different spatial and temporal distributions of congestion for the same level of average density. Another reason is the synchronized occurrence of transitions from individual detectors during the offset of the peak period, with points remain beneath the equilibrium curve. Both the hysteresis phenomenon and its causes are consistently observed for different spatial aggregations of the network.     

On the fundamental diagram and supply curves for congested urban networks

Macroscopic fundamental diagrams (MFD) of traffic for some networks have been shown to have similar shape to those for single links. They have erroneously been used to help estimate the level of travel in congested networks. We argue that supply curves, which track vehicles in their passage through congested networks, are needed for this purpose, and that they differ from the performance curves generated from MFD. We use a microsimulation model, DRACULA and two networks, one synthesizing the network for Cambridge, England, and one of the city of York, England, to explore the nature of performance curves and supply curves under differing patterns of demand.We show that supply curves differ from performance curves once the onset of congestion is reached, and that the incorrect use of performance curves to estimate demand can thus seriously underestimate traffic levels, the costs of congestion, and the value of congestion relief measures. We also show that network aggregated supply curves are sensitive to the temporal distribution of demand and, potentially, to the spatial distribution of demand. The shape of the supply curve also differs between origin–destination movements within a given network.We argue that supply curves for higher levels of demand cannot be observed in normal traffic conditions, and specify ways in which they can be determined from microsimulation and, potentially, by extrapolating observed data. We discuss the implications of these findings for conventional modelling of network management policies, and for these policies themselves.