共和乌江特大桥预应力施工质量控制方法

文章结合渝湘高速公路共和乌江特大桥工程实例,从管道定位、穿束、预应力张拉、灌浆及封锚等方面入手详细介绍了大跨度连续刚构桥箱梁预应力施工的技术要点及质量控制措施,为今后类似桥梁工程的预应力施工提供借鉴。     

Urban cycling mobility: management and urban institutional arrangements to support bicycle tourism activities—case study from Curitiba,Brazil

Transportation - Simultaneously addressing micro-mobility and urban tourism has been a challenge for urban managers formulating cycle-inclusive urban policies in different countries. In this...     

AEB与可逆预紧安全带联合作用下乘员保护效果研究

针对自动紧急制动系统(AEB)导致乘员在碰撞前出现身体前倾和离位的现象,提出了使用可逆预紧安全带可以改善该现象,并且研究了在AEB和可逆预紧的联合作用下对不同坐姿乘员的保护效果.建立了某车型驾驶员侧包括正常坐姿和四种离位坐姿的约束系统仿真模型,并进行了验证.以五种坐姿乘员为研究对象,分别对比无AEB无可逆预紧,有AEB...     

CO2 air–sea disequilibrium and preformed alkalinity in the Pacific and Indian oceans calculated from subsurface layer data

This work estimates new regionalized empirical parameterizations for preformed alkalinity (A_T^o) and the CO₂ air–sea disequilibrium (?C_dis). Both are key terms for the computation of anthropogenic CO₂ in the back-calculation methods. Data from the subsurface layer (75–180 m depth range) covering an area from North to South and from 19°E to 67.5°W (Pacific and Indian oceans) were taken from GLODAP (The Global Ocean Data Analysis Project) database. The subsurface layer is proved as a reliable reference for representing the main characteristics of the different water masses of the oceans. Besides, handing data from the two ocean basins altogether makes the new parameterizations of A_T^o and ?C_dis to be more globally consistent. Nevertheless, each ocean basin, at least in some regions, has different oceanographic characteristics based on its proper dynamical processes and water masses formation. In order to maintain each ocean basin ‘identity’ the whole domain was divided in six different regions (two of them sharing waters from Pacific and Indian oceans) and parameterizations in each region for both terms were obtained. Previously, data were transformed into a grid of 4°lat. × 5°lon. and the results obtained from the parameterizations were visualized and compare with pCO₂ climatologies. From the comparisons with previous ?C_dis estimations good results are obtained showing the reliability and robustness of the new regionalized empiric parameterizations.     

沿视平面任意方向上运动模糊图像的几何变换

运动所产生的图像模糊在生活中是常见的,对其进行处理的方法有很多种.常见的一种方法是将这个过程用矩阵的方程表示出来,但是这种方法只适合于求解水平方向上的直线运动模型.对非水平方向上的运动来说,就要对运动图像进行预处理,将其转换到水平方向上,介绍如何对运动方向进行识别及利用几何变换对图像进行处理的过程.     

边坡自保护/自协调锚拉结构体系

介绍一种边坡支护方法"自保护、自协调锚拉结构体系"的基本原理。这种结构体系由锚拉结构自保护技术和"单元结构体系"组成,是一套完整的边坡支护新技术。该技术采用一个塑性变形装置来保护结构超载破坏而不是增加材料用量,能够在超载情况下进行结构自保护和自协调,适用于复杂环境和地震区域的边坡支护。     

可调长度高速三体船的概念及水动力研究

文章提出了一种新型高速三体船,阐述了它的优点及其应用前景。以DTMB5415为基础,构造了高速三体船型,并设计了8种布置情况,然后利用CFD对高速三体船的八种布置情况和单体船匀速航行时候的水动力性能进行了计算,并分析了不同布置情况下的兴波干扰情况和阻力性能,得出高速三体船的最佳布置方案,单位排水量的阻力下降约32%。     

多事之秋信心是金

诚如<东方时评>所述,尽管2008年受国际金融海啸的影响,国内经济发展未能幸免,汽车产销量11月出现负增长,年产销止步于1000万辆大关的门槛之外.但这也是因为汽车工业的发展已经到了一个相当规模的阶段,诸多因汽车大发展而引发的矛盾到了一个必须解决的时候.     

Detection and Classification of Vehicles by Measurement of Road-Pavement Vibration and by Means of Supervised Machine Learning

Road vehicle detection and, to a lesser extent, classification have received considerable attention, in particular for the purpose of traffic monitoring by transportation authorities. A multitude of sensors and systems have been developed to assist people in traffic monitoring. Camera-based systems have enjoyed wide adoption over the last decade, partially substituting for more traditional techniques. Methods based on road-pavement vibration are not as common as camera-based systems. However, vibration sensors may be of interest when sensors must be out of sight and insensitive to environmental conditions, such as fog. We present and discuss our work on detection and classification of vehicles by measurement of road-pavement vibration and by means of supervised machine learning. We describe the entire processing chain from sensor data acquisition to vehicle classification and discuss our results for the task of vehicle detection and the task of vehicle classification separately. Using data for a single vibration sensor, our results show a performance ranging between 94% and near 100% for the detection task (1340 samples) and between 43% and 86% for the classification task (experiment specific, between 454 and 1243 samples).