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Experimental validation of cost-effective vision-based structural health monitoring

机译：具有成本效益的基于视觉的结构健康监测的实验验证

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Monitoring structural displacement responses can provide quantitative information for both structural safety evaluations and maintenance purposes. To overcome the limitations of conventional displacement sensors, advanced noncontact vision-based systems offer a promising alternative. This study validates the potentials of the vision displacement sensor for cost-effective structural health monitoring. The results of laboratory experiments on simply-supported beam structures demonstrate the high accuracy of the vision sensor for dense full-field displacement measurements. The identified natural frequencies and mode shapes from measurements by using one camera match well with those from an array of accelerometers. Moreover, the smoother mode shapes make possible the noncontact damage detection based on the conventional mode shape curvature index. This study also discusses the issues concerning the practical applications of the vision displacement sensors, such as the scaling factor determination, measurement with small camera tilt angles, tradeoffs between the measurement resolution and measurement points or field of view, etc. Furthermore, the remote, real-time and multi-point measurement capacities of the vision sensor are confirmed through field tests of Manhattan Bridge during train passing.
机译：监视结构位移响应可以为结构安全评估和维护目的提供定量信息。为了克服常规位移传感器的局限性，先进的基于非接触式视觉的系统提供了有希望的替代方案。这项研究验证了视觉位移传感器在经济有效的结构健康监测中的潜力。在简单支撑的梁结构上进行的实验室实验结果表明，视觉传感器具有很高的精度，可用于密集的全视场位移测量。通过使用一台摄像机进行的测量确定的固有频率和模式形状与一系列加速度计的固有频率和模式形状非常匹配。此外，更平滑的模式形状使得基于常规模式形状曲率指数的非接触损伤检测成为可能。这项研究还讨论了与视觉位移传感器的实际应用有关的问题，例如缩放比例确定，使用较小的相机倾斜角进行测量，在测量分辨率与测量点或视场之间进行权衡等。视觉传感器的实时和多点测量能力通过曼哈顿大桥在火车通过期间的现场测试得到确认。

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