道床板长度对减振垫轨道结构振动性能影响分析

橡胶减振垫整体道床是一种新型的减振轨道结构,然而,工程应用中,单元道床板结构长度的选择尚无明确指导性意见。采用模态分析、谐响应分析法分析不同道床板长度橡胶减振垫整体道床结构固有频率、振型及传递函数。分析表明:(1)单元道床板长度变化对道床垂弯、道床扭转振型主振频率影响较明显;(2)2.5、3.75 m单元道床轨道结构频谱幅值出现在一阶横弯振型频率,而≥5 m的道床板,其频谱幅值主要出现在道床沉浮振型对应频率附近;(3)减振垫整体道床频谱曲线幅值随着道床单元结构长度的增加而大幅减小;(4)当单元道床结构长度≥5 m时,频响幅值随单元长度变化不大。     

Who cycles more? Determining cycling frequency through a segmentation approach in Montreal,Canada

The decision to cycle frequently in an urban setting is a complex process and is affected by a variety of factors. This study analyzed the various factors influencing cycling frequency among 1707 cyclists from Montreal, Canada using an ordinal logistic regression. A segmentation of cyclists is used in a series of ordinal logistic models to better understand the different impacts of variables on the frequency of cycling among each group of cyclists for commute and for utilitarian purposes. Our models show a variation in the impacts of each dependent variable on frequency of cycling across the various segments of cyclists. Mainly making cyclists feel safe not only on bicycle specific infrastructure but also on regular streets, emphasizing the low cost, convenience and improving the opinion on cycling in the population are effective interventions to increase bicycle usage. Also, it was shown that women were less likely to cycle to work than men, but more likely to cycle for other utilitarian trips, pointing at the presence of specific barriers to commuting for woman. Although the findings from this study are specific to Montreal, they can be of interest to transportation planners and engineers working toward increasing cycling frequency in other regions.     

自发电用60kW双频变频发电机的设计和使用

介绍了自发电用60 kW双频变频发电机的结构、工作状态和励磁系统的设计     

宁波轨道交通车载WIFI系统兼容研究

从宁波轨道交通1号线车载Wi Fi全覆盖的实践展开分析,研究Wi Fi覆盖对列车信号系统车地无线通信的影响,优化Wi Fi频段的设置、合理安装车载AP、控制车载AP功率,可消除同频干扰,实现车载Wi Fi覆盖和信号车地无线传输的兼容共存,并确保列车运行的安全。     

直线电机线路感应板高度调整技术探讨

感应板是直线电机线路中的重要设备，文章对感应板高度调整工作的特点进行了介绍，并进一步分析了感应板高度变化的原因，在此基础上提出了感应板高度调整工作的若干建议。     

出口加纳动车组转向架落车工艺难点及对策

针对出口加纳动车组转向架和车体结构特点,介绍了落车过程中轮重差调整方法和难点解决对策.     

Assessment of the effects of highway geometric design features on the frequency of truck involved crashes using bivariate regression

Given the enormous losses to society resulting from large truck involved crashes, a comprehensive understanding of the effects of highway geometric design features on the frequency of truck involved crashes is needed. To better predict the occurrence probabilities of large truck involved crashes and gain direction for policies and countermeasures aimed at reducing the crash frequencies, it is essential to examine truck involved crashes categorized by collision vehicle types, since passenger cars and large trucks differ in dimensions, size, weight, and operating characteristics. A data set that includes a total of 1310 highway segments with 1787 truck involved crashes for a 4-year period, from 2004 to 2007 in Tennessee is employed to examine the effects that geometric design features and other relevant attributes have on the crash frequency. Since truck involved crash counts have many zeros (often 60–90% of all values) with small sample means and two established categories, car-truck and truck-only crashes, are not independent in nature, the zero-inflated negative binomial (ZINB) models are developed under the bivariate regression framework to simultaneously address the above mentioned issues. In addition, the bivariate negative binomial (BNB) and two individual univariate ZINB models are estimated for model validation. Goodness of fit of the investigated models is evaluated using AIC, SBC statistics, the number of identified significant variables, and graphs of observed versus expected crash frequencies. The bivariate ZINB (BZINB) models have been found to have desirable distributional property to describe the relationship between the large truck involved crashes and geometric design features in terms of better goodness of fit, more precise parameter estimates, more identified significant factors, and improved predictive accuracy. The results of BZINB models indicate that the following factors are significantly related to the likelihood of truck involved crash occurrences: large truck annual average daily traffic (AADT), segment length, degree of horizontal curvature, terrain type, land use, median type, lane width, right side shoulder width, lighting condition, rutting depth (RD), and posted speed limits. Apart from that, passenger car AADT, lane number, and indicator for different speed limits are found to have statistical significant effects on the occurrences of car-truck crashes and international roughness index (IRI) is significant for the predictions of truck-only crashes.     

大型医务船生活用水及污水处理系统设计

介绍了变频恒压技术在大型医务船供水系统中的设置、应用及优点,以及生活污水处理系统的设计要点。     

基于数字信号处理实现VOX技术

介绍一种用数字方式实现VOX功能的方法。根据语音信号的特征及短时分析技术,利用语音信号能量和过零率相结合检测方法,可有效进行有声/无声判断。根据所述检测原理和实现方法,进行了不同信噪比条件下的仿真分析。经过实际应用测试,该系统易于实现,实时性好。     

未知参数的舰船辐射噪声线谱Duffing振子检测方法

当被动声呐探测舰船目标时,舰船辐射噪声中的线谱成分是舰船分类识别及航行状态监测的特征参量,通常情况下线谱的频率及数量是未知的。针对现有未知频率的Duffing振子检测方法存在系统结构复杂,判别时间长,需要人为参与等问题,本文构造了变参数单一Duffing振子检测模型,并提出了变频频率切片小波变换的Duffing振子检测方法。该方法通过设置合理的频率灵敏度参数自动地调整系统内置策动力频率值,利用频率切片小波变换提升系统抗噪性能,结合Poincare映射特征函数的系统相态定量判决方法,变频搜索待测信号中的线谱分量。在实测数据的分析处理中,对不同观测时间内的数据进行检测,实现了线谱成分的检测跟踪与频率估计,并根据时间轨迹上的频率识别信息确定存在的稳定线谱成分。数据处理结果表明,该方法能够实现低信噪比下参数未知线谱的检测与频率估计。