浅谈渐开线花键的检测方法的应用

本文对渐开线花键的检测方法进行介绍分析,为渐开线花键的生产检验及零件验收提供理论依据和参考。     

桥梁上部结构水损害病害分析

针对目前我国桥梁上部结构水损害比较普遍这一现象，以历年来对河北省运营的多条高速桥梁定期检查资料为基础，对桥梁上部结构水损害进行较为详细的分析，对于优化桥面防水设计，改善桥面防水、排水系统具有参考价值。     

基于弹性波CT的大体积混凝土检测应用

现代土木工程时常涉及大体积混凝土,其施工及养护过程极易出现质量问题,因此项目实施过程中检测工作始终贯穿于各个环节。常规混凝土无损检测方法一般无法对混凝土内部大截面进行直观评判,而弹性波CT则一次性重构截面波速分布,经反演后直接推定剖面内缺陷存在与否以及缺陷的位置及规模。通过弹性波CT在大体积混凝土检测中的应用,并结合超声法等验证手段,验证了该方法分辨率高、可靠性好、图像直观等优点,为其他相关类型项目提供了有益的参考。     

声波 CT 技术在旧桥粘钢加固评价中的应用

在役桥梁运营维护中，粘钢加固技术由于其经济、便捷等特点是保证桥梁安全运营的重要手段。但由于现有检测手段的不足，旧桥粘钢加固后修复效果是未知的。为弥补检验修复效果这一空白，将CT技术引入旧桥粘钢加固评价当中，以安徽某大桥的工程为例，用声波CT技术可以检测加固区域混凝土整体质量，得到定性、定量的检测结果，为旧桥加固修复情况提供客观评价，且可增强后续处治的针对性，并节约维修成本。     

Adhesion estimation at the wheel–rail interface using advanced model-based filtering

The railway industry in the UK is currently expanding the use of condition monitoring of railway vehicles. These systems can be used to improve maintenance procedures or could potentially be used to monitor current vehicle running conditions without the use of cost prohibitive sensors. This paper looks at a novel method for the online detection of areas of low adhesion in the wheel/rail contact that cause significant disruption to the running of a network, particularly in the autumn season. The proposed method uses a Kalman–Bucy filter to estimate the creep forces in the wheel–rail contact area; post-processing is then applied to provide information indicative of the actual adhesion level. The algorithm uses data that, in practice, would be available from a set of modest cost inertial sensors mounted on the vehicle bogie and wheel-sets. The efficacy of the approach is demonstrated using simulation data from a nonlinear dynamic model of the vehicle and its track interface.     

Contents Index Volume 35 and 36

Active safety systems would benefit from tyre force and friction potential information. Different sensor concepts, including, among others, the EU–funded Apollo–project developed tyre sensor based on optical position detection, are being studied. The sensor can measure tyre carcass deflections with respect to the rim. The carcass deflections can be used to calculate tyre forces and they may be exploited in the estimation of friction potential. The waveforms of the sensor signal are illustrated. The vertical and lateral force estimations are presented with unavoidable compensation parts. The tyre sensor measurements were compared to the measurement–vehicle results and good correlations achieved. Continuing activities are concerned with the estimation of friction potential and the detection of aquaplaning.     

水泥混凝土路面翘曲脱空与面板破坏原因分析

文章针对广西近年来水泥混凝土路面翘曲脱空与面板破坏的情况，分析产生病害的原因，介绍采用有限元程序对翘曲脱空后的路面在荷载作用下的受力进行计算的方法，对翘曲脱空后的路面寿命进行预估，同时提出翘曲脱空的防治对策。     

From Twitter to detector: Real-time traffic incident detection using social media data

The effectiveness of traditional incident detection is often limited by sparse sensor coverage, and reporting incidents to emergency response systems is labor-intensive. We propose to mine tweet texts to extract incident information on both highways and arterials as an efficient and cost-effective alternative to existing data sources. This paper presents a methodology to crawl, process and filter tweets that are accessible by the public for free. Tweets are acquired from Twitter using the REST API in real time. The process of adaptive data acquisition establishes a dictionary of important keywords and their combinations that can imply traffic incidents (TI). A tweet is then mapped into a high dimensional binary vector in a feature space formed by the dictionary, and classified into either TI related or not. All the TI tweets are then geocoded to determine their locations, and further classified into one of the five incident categories.We apply the methodology in two regions, the Pittsburgh and Philadelphia Metropolitan Areas. Overall, mining tweets holds great potentials to complement existing traffic incident data in a very cheap way. A small sample of tweets acquired from the Twitter API cover most of the incidents reported in the existing data set, and additional incidents can be identified through analyzing tweets text. Twitter also provides ample additional information with a reasonable coverage on arterials. A tweet that is related to TI and geocodable accounts for approximately 5% of all the acquired tweets. Of those geocodable TI tweets, 60–70% are posted by influential users (IU), namely public Twitter accounts mostly owned by public agencies and media, while the rest is contributed by individual users. There is more incident information provided by Twitter on weekends than on weekdays. Within the same day, both individuals and IUs tend to report incidents more frequently during the day time than at night, especially during traffic peak hours. Individual tweets are more likely to report incidents near the center of a city, and the volume of information significantly decays outwards from the center.