A vision-based nondestructive testing technology for structural deflections
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摘要: 挠度是大型结构安全的重要指标，对结构挠度的非接触动态监测技术研究具有重要的价值。开发了一种基于图像测量的桥梁挠度测试技术，建立了基于数字图像相关方法的挠度匹配算法，研发出基于单目视觉的挠度测量仪。通过室外精度验证，评估了该测量系统进行远距离挠度测量的可行性和可靠性。最后利用该系统对武汉鹦鹉洲长江大桥进行了实时挠度测量，测量结果和安装在桥上的全球定位系统（GPS）的读数高度一致。Abstract: Development of computer vision technology is important to structural health monitoring since deflection is a key factor to large structures. In this study, a monocular video deflectometer has been constructed by developing an efficient fast algorithm based on Digital Image Correlation. The precision of the video deflectometer has been verified in the outdoor experiment. This system has been adopted to dynamically measure the vertical deflection of the Yingwuzhou Yangtze River Bridge at given positions. It is found that the measurement is in good agreement with the readouts from the existing GPS sensors which are embedded in the bridge.
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