| 英文摘要 |
Understanding the dynamic behavior of as-built structures is important because structural condition can often be inferred from dynamic response changes. To this end, modal properties such as natural frequencies, damping ratios, and mode shapes can be extracted from acceleration measurements. Associated installations require sensors, cabling, and data acquisition systems that can be expensive and time-consuming. Alternatively, proposed computer vision-based approaches offer non-contact measurements and substantial cost savings. However, such approaches usually only focus on the structural responses within the plane of the image. For complex structures that possess asymmetries, out-of-plane behavior is critical to understanding their dynamic responses. Determining the dynamic response of the entire structure requires multiple cameras and can be computationally demanding. In this study, imagery from a commercially available stereo camera is combined with a multi-level image pyramid approach and frequency-domain stochastic subspace identification (SSI) to extract out-of-plane modal properties. The advantages and limitations of the proposed approach are illustrated numerically for a continuous beam. Experimental validation is then performed with a three-story model building using an Intel RealSenseTM D415 depth camera. The results demonstrate that the proposed approach can give an accurate picture of the dynamic characteristics of a structure, offering the potential for effective long-term structural health monitoring. |
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