Abstract
Unmanned aerial vehicles (UAVs), commonly known as drones, are a rising topic in remote sensing technologies for structural health monitoring. With technology advancement in cameras, the visual inspection method using drones is gaining much attention in the field of civil engineering. However, although visual inspection methods are feasible for finding cracks in structures, the limitations of image processing for finding internal damage or small defects cannot be ignored. To overcome this problem, a possible application concept of UAV, combined with a vibration-based non-destructive health monitoring method, is proposed. The idea is for the drone to temporarily attach the piezoelectric transducer onto a specific region where excitation and data acquisition occurs simultaneously. This eliminates the need for a structure to be covered with hundreds of sensors for monitoring, as this concept uses a single piezoelectric transducer for monitoring a structure. The proposed work offers new areas of research by converging UAV with a vibration-based method, as associated problems are required to be solved.
Highlights
Unmanned aerial vehicles (UAVs), commonly known as drones, are gaining a considerable amount of attention in the field of structural health monitoring (SHM)
There are only a few studies available where drones are utilized to monitor structures which are focused on image processing [1,2,3]
An algorithm was developed in MATLAB for image post-processing where a field test was conducted on a pedestrian bridge in order to evaluate the performance of the UAV
Summary
Unmanned aerial vehicles (UAVs), commonly known as drones, are gaining a considerable amount of attention in the field of structural health monitoring (SHM). The visual inspection method with image processing is a common concept when using drones to find cracks, rusts, or other damage types that can be visually identified. An algorithm was developed in MATLAB for image post-processing where a field test was conducted on a pedestrian bridge in order to evaluate the performance of the UAV. A new concept of converging a drone with a vibration-based non-destructive evaluation (NDE) method is proposed. Such a concept will allow one to potentially identify damage at an earlier stage, reducing the overall maintenance cost of a structure. With the new concept of equipping a drone with a vibration-based NDE method, possibilities are created for new research areas in the field of remote sensing-based structural health monitoring
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