Akademik Veri Yönetim Sistemi
Second International Symposium on Innovations in Civil Engineering and Technology, Isparta, Türkiye, 30 Ekim - 01 Kasım 2024, cilt.1, ss.29, (Özet Bildiri)
In structural health monitoring, vibration displacement response is commonly used to monitor the health status of engineering structures. Traditionally, the vibration displacement response of structures has been used to measure accelerations using physical sensors such as linear variable differential transformers (LVDT) and laser displacement sensors (LDS), or more commonly accelerometers. Traditional methods measure accelerations instead of directly measuring displacement due to some difficulties in the installation and implementation phase. Advances in engineering and technology have made it possible to overcome the challenges of traditional methods. Difficulties in direct displacement measurement have become overcome, with methods based on computer vision. However, sensitive image processing methods are needed to measure the vibration measurements of existing structures. In this study, the vibrations of a scaled model of a historical masonry minaret produced in a laboratory environment were obtained by camera-based monitoring and small movements in video recordings were detected by using optical flow algorithms. The scaled model was examined with simultaneous recording from four different points with camera-based monitoring. The results obtained in the videos were compared with the results obtained from accelerometers mounted in the same areas as the tracking points. With both methods, it is aimed to obtain the modal frequencies of the structure. Meaningful vibration signals could be obtained from this structure, which has movements that are too small to be seen with the naked eye. The peaks of these signals in the frequency domain correspond to the other data with which they are compared.
Keywords: Structural health monitoring; multi-camera-based monitoring; computer vision; optical flow; Lucas-Kanade method; historical masonry minaret.