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基于LabVIEW的桥梁健康监测数据采集系统
  • 期刊名称:暨南大学学报
  • 时间:0
  • 页码:465-468
  • 分类:O327[理学—一般力学与力学基础;理学—力学] TU311[建筑科学—结构工程]
  • 作者机构:[1]暨南大学力学与土木工程系,广东广州510632, [2]暨南大学重大工程灾害与控制教育部重点实验室,广东广州510632, [3]Faculty of Built Environment & Engineering, Queensland University of Technology, GPO Box 2434, Q4001, Australia
  • 相关基金:国家自然科学基金项目(50978123);教育部科学技术研究重点资助项目(208172);暨南大学引进优秀人才科研启动基金资助项目(51207052)本文部分工作是第一和第三作者在香港理工大学土木与结构工程系工作期间完成,现场试验还得到香港路政署的大力支持和帮助,在此一并致谢!
  • 相关项目:移动重车作用下桥梁性能劣化及其损伤精细识别
中文摘要:

桥梁健康监测的第一步是如何实现现场桥梁结构输入输出数据和环境音像资料的精确采集和存储.针对香港新界西青衣南桥的特点,基于LabVIEW软件平台,开发桥梁健康监测数据采集系统,采集并存储桥面运行重车车型、轴数、车速和车辆视频音像资料以及运行重车作用下桥梁的应变和加速度响应时程数据,为桥梁健康监测提供高精度实时原始数据.五昼夜的现场监测结果表明该系统运行正常、桥梁响应数据采集精度高、运行车辆音像资料全面,不失为大型桥梁健康监测采集系统的有益尝试.

英文摘要:

Higher accuracy of data acquisition should be the first step for the bridge health monitoring. According to the characteristics of Tsing Yi South bridge in the New Territories West in Hong Kong and based on the LabVIEW software platform, the data acquisition system for the particular bridge health monitoring is developed. It can acquire the responses of the bridge under the moving heavy trucks by using different kinds of sensors, namely strain gauges and accelerometers. Meanwhile, it can record the video information about the motion of vehicles on the bridge, such as vehicles types, axle numbers of vehicles, speeds of vehicles, and so on. The data recorded through five consecutive days and nights show that the bridge health monitoring system is effective, reliable and with a higher accuracy, which may be a useful try for designing large bridge health monitoring system in the future.

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