桥梁自调式检修平台的设计与施工

桥梁检修施工中,要求不中断或尽量缩短交通中断时间,以满足交通运输畅通的需要,并且要保证施工质量和工作效率,结合工程特点和要求,迫切需要设计出一种安全、适用、轻便、舒适的自调式检修平台。根据桥梁结构特点,采用型钢形成U形抱箍固定于盖梁,抱箍上连接挂架平台,同时抱箍两角形成钢丝绳连接点,连接钢丝绳,继而逐榀拼接并挂设挂架平台,平台采用型钢焊接与自平衡系统连接成一榀,施工人员利用自锁式安全笼爬梯搭设和到达检修平台。运用MIDAS建模进行受力计算。结果显示:自调式检修平台的强度、刚度、抗风等均符合规范要求,同时实现了梁底全面施工不受桥下环境限制、不影响通航、不中断交通、不占用车道、不造成结构锚固破坏,以及灵活、轻便、可循环重复使用等优点。本设计可以为高速公路或地方道路桥梁检修施工提供理论基础及技术支撑。     

强噪声背景下舰船信号混沌检测方法研究

给出了舰船信号混沌检测原理,在分析Duffing方程混沌行为的基础上,给出了强噪声背景下舰船信号混沌检测模型,并分析了噪声对该混沌检测方法的影响。最后运用该混沌检测方法对舰船信号进行了数值实验,结果显示了此种方法的有效性和优越性。     

电脑智能检测系统在船舶主机上的应用

该文介绍一种智能型船舶主机电脑检测系统,该系统可以对船舶主机的性能测试中的转速、油耗、油压、水温、油温、扭矩、排温等多种物理参数进行自动采集显示.一次可同时测试多个工况.为轮机管理人员提供了检测精度高、速度快且劳动强度低的智能化设备.     

总装车间继电器安装自动化的应用

文章介绍了一种车载线束继电器安装的自动化设备,设备采用Dalta并联机器人抓取继电器进行安装,继电器上料由另一台Dalta并联机器人和视觉引导完成。继电器安装过程中,力和位移的数据被实时监控和保存,单颗继电器安装节拍满足≤1.1s,单条线束作业节拍≤45s,满足汽车总装生产线节拍要求。     

求解瞬时温度场的边界层函数法

本文介绍了求解奇异摄动问题的一种有效方法——边界层函数法,并用此方法研究了在薄矩形板中的热传导问题。     

地质雷达在上三高速公路护面墙检测中的应用

上三高速公路K224+720 ～ K225+020左山体自2008年以来,每逢大雨,该山体第二级坡面的长约20m范围内有局部泥沙从泄水孔带出,在对护面墙及碎落台的跟踪检查中,由于局限于目前管理单位的检测设备,未发现空洞、变形.为确保高速公路的安全畅通,此次采用地质雷达对该山体的护面墙进行检测,可快速了解护面墙的厚度、密实度等质量情况.     

公路黄土隧道洞口段施工技术要点

由于黄土隧道自身稳定性差,在开挖过程中,特别是刚进洞时的洞口（浅埋）段,容易出现不稳定的问题,所以需认清洞口段常见的灾害类型及成因,加强施工中各个环节的控制,以保证施工的正常、安全进行。     

改进的锤击法测量原点阻抗

机械阻抗是机械系统特性的集中参数表示, 是解决机械系统耦合问题的一个重要工具。现有的机械阻抗方法有激振器激振传感器,冲击锤敲击实验结构等方法,但都有各自的局限性。本文提出了改进的锤击法测量原点阻抗。通过实验对比,对其可行性进行了研究,证明了此种方法可以快速并较为准确的获得结构的原点阻抗,具有工程实用性。     

基于相关性模型的舰船系统测试性建模与分析

本文提出一种基于相关性模型的舰船系统级产品的测试性建模与分析方法.该方法通过建立产品任务模型、相关性图示模型等,利用一阶相关性列矢量法求解产品的相关性数学模型,进而建立产品诊断树和进行测试性预计,并为优化产品诊断策略提供建议.同时,根据舰用燃气轮机滑油系统组成和任务特征,建立其典型任务模型并进行精简,并在此基础上进行测试性建模、诊断树建立、测试性预计以及诊断策略优化等工作,为舰船系统级产品的测试性建模、分析和诊断策略研究提供新思路和手段.     

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.