Performance of Optical Structural Vibration Monitoring Systems in Experimental Modal Analysis.
Performance of Optical Structural Vibration Monitoring Systems in Experimental Modal Analysis.
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DOI：
10.3390/s21041239
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发表时间：
2021-02-10
期刊：
影响因子：
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通讯作者：
Nikitas N
中科院分区：
文献类型：
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作者：
Kalybek M;Bocian M;Nikitas N
基于图像的光学振动测量是一种有吸引力的替代传统的结构动力学测量主要依赖于加速度计。虽然各种光学振动监测系统现在是现成的，他们的性能目前还没有很好地定义，特别是在实验模态分析的背景下。为此，本研究提供了一些第一个证据的能力，光学振动监测系统的模态识别使用输入输出测量。在实验室环境中对三维建筑框架的比例模型进行了比较研究。该模型的动态响应的脉冲激励从仪表锤，和初始位移，测量通过五个光学运动捕捉系统。其中包括基于激光多普勒测速、基准标记和无标记模式识别的商业和开源系统。这些系统的性能进行了分析，对一组高精度的加速度计获得的数据。结果表明，从每个系统确定的模态参数并不总是相等的，每个系统有其固有的设计限制。通知这些调查结果，所考虑的光学运动捕捉系统的部署的指导，帮助他们的选择和实施结构振动监测。
Image-based optical vibration measurement is an attractive alternative to the conventional measurement of structural dynamics predominantly relying on accelerometry. Although various optical vibration monitoring systems are now readily available, their performance is currently not well defined, especially in the context of experimental modal analysis. To this end, this study provides some of the first evidence of the capability of optical vibration monitoring systems in modal identification using input–output measurements. A comparative study is conducted on a scaled model of a 3D building frame set in a laboratory environment. The dynamic response of the model to an impulse excitation from an instrumented hammer, and an initial displacement, is measured by means of five optical motion capture systems. These include commercial and open-source systems based on laser Doppler velocimetry, fiducial markers and marker-less pattern recognition. The performance of these systems is analysed against the data obtained with a set of high-precision accelerometers. It is shown that the modal parameters identified from each system are not always equivalent, and that each system has limitations inherent to its design. Informed by these findings, a guidance for the deployment of the considered optical motion capture systems is given, aiding in their choice and implementation for structural vibration monitoring.