본 논문에서는 비접촉식 충격-반향 기법을 이용한 콘크리트 구조물의 손상 탐지에 있어서 비용 효율성을 높이기 위한 다이나믹 마이크로폰의 적용 가능성에 대하여 알아보았다. 박리 손상이 인공적으로 모사된 콘크리트 슬래브 실험체에 대하여 비접촉 충격-반향 실험을 다이나믹 마이크로폰을 이용하여 수행하였으며 저비용 센서 시스템의 손상 탐지 성능을 분석하였다. 실험 결과 다이나믹 마이크로폰으로 의미있는 신호의 측정이 가능하며, 또한 콘크리트의 박리 손상도 고성능 음압 센서만큼 명확하게 검출 가능하다는 것을 알 수 있었다.

Since cable members are the major structural components in cable bridges, they should be properly inspected for surface damage as well as inside defects such as corrosion and/or breakage of wires. Starting from August 2010, a new research project supported by Korea Ministry of Land, Transportation Maritime Affairs (MLTM) was initiated to develop the cable inspection robot. In this study, only the vision-based surface damage detection system based on image processing techniques is addressed. The damage detection algorithm combines some image enhancement techniques with principal component analysis (PCA) to detect damages on cable surface. The images from three cameras attached to the cable climbing robot are wirelessly transmitted to the server computer at the cable support. They are processed with image enhancement method together with noise removal technique to improve overall image quality. Then they are projected into PCA sub-space. Finally, the Mahalanobis square distances of the projected images to all sample patterns are calculated. The smallest distance is found to be the match for the input image. The proposed damage detection algorithm was verified through laboratory tests on three types of cables.