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Dynamic monitoring of rail and bridge displacements using digital image correlation.

机译:使用数字图像相关性动态监视铁路和桥梁位移。

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摘要

Rail and bridge infrastructure assets are critical elements of Canada's transportation network and their continued efficient and safe operation is necessary to ensure the nation's economic livelihood. Monitoring technologies that can detect changes in performance as well as precursors to failure are an important element of ensuring this efficient and safe operation. Digital Image Correlation (DIC) is a monitoring technology that has the potential to provide critical data for infrastructure assessment and to replace various conventional sensors with one integrated monitoring solution.;The use of DIC was investigated for field monitoring of both horizontal and vertical railway displacements at sites with good and poor subgrade conditions under dynamic train loading. It is shown that there is a significant benefit to using an absolute displacement measurement system rather than a relative displacement measurement system as the former can capture irrecoverable rail displacements in both the vertical and horizontal directions.;Finally, DIC was also used for field monitoring of a very stiff reinforced concrete bridge during static and dynamic load tests. It is shown that when using DIC for deflection monitoring, corrections may have to be made to compensate for errors such as camera jitter and drift to acquire the most accurate results. Two potential correction methods were the use of a fixed reference point and generating composite images using average pixel intensity values from multiple images. It was found that using a fixed reference point was the optimal choice in this bridge test. It is concluded that DIC can be used as an effective displacement measurement tool for bridge assessment because it shows excellent correlation with linear potentiometer results and it can allow measurements to be taken without having to close the bridge.;In this research, the accuracy of DIC is evaluated using numerical, laboratory and field-based experiments. The sources of error of particular relevance to dynamic measurement using DIC are identified as (i) bias error in the sub-pixel interpolation scheme, (ii) the ratio of sample rate to the frequency of the signal being monitoring and (iii) the signal to noise ratio. It is also shown that the chosen sub-pixel interpolation scheme can greatly affect the accuracy of dynamic measurements.
机译:铁路和桥梁基础设施资产是加拿大交通网络的重要组成部分,其持续有效和安全的运营对于确保加拿大的经济生计至关重要。可以检测性能变化以及故障前兆的监视技术是确保这种高效和安全操作的重要元素。数字图像关联(DIC)是一种监视技术,它有可能为基础设施评估提供关键数据并用一个集成的监视解决方案代替各种常规传感器。;已研究将DIC用于水平和垂直铁路位移的现场监视在动态列车荷载下路基条件好坏的站点。结果表明,使用绝对位移测量系统而不是相对位移测量系统具有显着的优势,因为前者可以捕获垂直和水平方向上无法恢复的轨道位移。;最后,DIC还用于现场监测在静态和动态载荷测试中的非常坚固的钢筋混凝土桥梁。结果表明,当使用DIC进行偏转监控时,可能必须进行校正以补偿诸如照相机抖动和漂移之类的误差,以获得最准确的结果。两种潜在的校正方法是使用固定参考点,并使用来自多个图像的平均像素强度值生成合成图像。发现在此桥式测试中,使用固定参考点是最佳选择。结论是DIC可以用作桥梁评估的有效位移测量工具,因为它与线性电位计结果显示出极好的相关性,并且可以在不关闭桥梁的情况下进行测量。使用数值,实验室和野外实验评估。与使用DIC进行动态测量特别相关的误差源被标识为(i)亚像素内插方案中的偏置误差,(ii)采样率与被监视信号的频率之比和(iii)信号噪声比。还表明,选择的子像素内插方案会极大地影响动态测量的准确性。

著录项

  • 作者

    Murray, Christopher.;

  • 作者单位

    Queen's University (Canada).;

  • 授予单位 Queen's University (Canada).;
  • 学科 Engineering Civil.
  • 学位 M.S.
  • 年度 2013
  • 页码 107 p.
  • 总页数 107
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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