伦敦的公交优先政策及启示

通过对比分析的方法,将伦敦曾经面临过的与国内大中城市正面临的城市交通问题进行对比,研究了英国交通发展的历史,伦敦公交发展现状,着重研究了伦敦公交优先政策实施的主要措施.提出,公交优先是多种公共交通模式并存的优先发展,实现公交优先,需要整合各种交通基础设施,并将城市用地、交通需求管理和可持续性的公共交通三者结合起来共同考虑.最后,对提升现有常规公交的服务水平提出了5点具体建议.     

路面结构水损坏的研究

无论水泥混凝土路面还是沥青路面,水损坏是目前国内外普遍存在的路面破坏形式,成为困扰公路工程质量的世界性难题。分析了路面水损坏的主要现象及其发生机理,阐述了产生水损坏的相关因素,提出了预防路面水损坏的相关对策。     

破冰型大型航标船线型开发设计及破冰阻力评估研究

结合北海航海保障中心大型航标船的破冰功能需求,为本船选取合理的推进功率,对本船具有破冰功能特点的线型设计进行分析论述,同时运用破冰阻力经验公式对本船在一定冰厚和航速下的破冰阻力进行估算,结合冰池试验结果对破冰阻力数据进行对比分析,并进行冰区航行的快速性评估。     

地铁暗挖隧道二次衬砌施工质量控制浅析

文章根据深圳轨道交通二期工程安托山站—侨香站暗挖区间的二次衬砌施工经验,分析了地铁暗挖隧道二次衬砌施工质量的影响因素以及二次衬砌施工过程中容易发生的质量问题,并提出了具体的控制措施。通过经验总结,使地铁施工的管理、质量控制、施工通病防治上升一个台阶。     

光面爆破技术在城市地铁隧道施工中的应用

文章从光面爆破机理、光面爆破技术中各主要参数的确定,以及光面爆破在实际工程中的应用几个方面出发,以深圳地铁安-侨区间隧道硬岩段施工为例,研究分析了如何利用光面爆破技术来提高城市地铁浅埋暗挖法的光爆效果,特别是近距离穿越重要建(构)筑物时如何有效进行光面爆破。     

箱形拱桥结构检测及加固处理

文章以梧州西江大桥箱形拱桥为例,在对桥梁结构进行外观检测的基础上,利用Midas Civil 2010建立模型,通过静载和动载试验分析了该桥的承载能力及结构力学特性,提出了相应的维修加固措施,并探讨了维修加固处理的工程效果。     

工程总承包模式下项目业主风险防范探讨

文章结合工程总承包的特点,分析了工程总承包模式下项目业主在项目实施过程中所面临的风险,提出了相应的防范风险的措施。     

LNG储罐罐壁工程质量缺陷及控制措施

LNG储罐是LNG接收站中关键的设备之一,其工程质量非常重要。为使罐壁施工质量达到良好状态,可事先采用施工用的混凝土、钢筋和DOKA模板等施工材料建造小段试验墙,根据这段试验墙可以提前发现工程可能出现的缺陷,这些缺陷包括模板错缝、预埋件凹陷、混凝土表面局部气孔麻面、墙体裂缝、漏浆及混凝土表面色差等,对这些缺陷产生的原因进行分析并采取相应的控制措施,以确保罐壁施工顺利且高质量进行。     

X80管线钢管的屈强比对其失效评估曲线的影响

X80及以上级别管线钢管的高屈强比是工程应用中的一个突出问题,失效评估曲线是其安全评定的重要依据。文中通过单轴拉伸和断裂韧性试验建立了高屈强比X80管线钢管的特征失效评估图及拟合方程。结果表明：随着钢管屈强比升高,失效评估曲线的截至线（最大载荷比）降低;高、低屈强比钢管的评估曲线在载荷比大于某一临界值时发生分离,且高屈强比钢管的评估曲线处于低屈强比钢管的评估曲线之下;高屈强比钢管的选择3评估曲线比选择1和选择2曲线更偏于安全。     

Assessing the impact of reduced visibility on traffic crash risk using microscopic data and surrogate safety measures

Due to the difficulty of obtaining accurate real-time visibility and vehicle based traffic data at the same time, there are only few research studies that addressed the impact of reduced visibility on traffic crash risk. This research was conducted based on a new visibility detection system by mounting visibility sensor arrays combined with adaptive learning modules to provide more accurate visibility detections. The vehicle-based detector, Wavetronix SmartSensor HD, was installed at the same place to collect traffic data. Reduced visibility due to fog were selected and analyzed by comparing them with clear cases to identify the differences based on several surrogate measures of safety under different visibility classes. Moreover, vehicles were divided into different types and the vehicles in different lanes were compared in order to identify whether the impact of reduced visibility due to fog on traffic crash risk varies depending on vehicle types and lanes. Log-Inverse Gaussian regression modeling was then applied to explore the relationship between time to collision and visibility together with other traffic parameters. Based on the accurate visibility and traffic data collected by the new visibility and traffic detection system, it was concluded that reduced visibility would significantly increase the traffic crash risk especially rear-end crashes and the impact on crash risk was different for different vehicle types and for different lanes. The results would be helpful to understand the change in traffic crash risk and crash contributing factors under fog conditions. We suggest implementing the algorithms in real-time and augmenting it with ITS measures such as VSL and DMS to reduce crash risk.