Bolt Loosening Evaluation Methods
Structural bolts are essential elements to connect and stabilize structural components and systems. Bolt loosening at a certain level may result in catastrophic failure, leading to a significant casualty rate and financial loss. Besides, the energy dissipation potential of innovative devices such as friction dampers is strongly affected by bolt loosening. Therefore, the identification of bolt loosening is crucial to maintain structural performance and prevent catastrophic events. This project aims to develop and apply state-of-the-art deep learning, computer vision, and point cloud techniques to automatically localize bolts, monitor the loosening process, and quantify the loosening extent.
Bolt Loosening Evaluation Methods
[1]. Pan, X., Yang, T.Y. (2024). Bolt loosening assessment using ensemble vision models for automatic localization and feature extraction with target-free perspective adaptation. Computer-aided Civil and Infrastructure Engineering.
[2]. Pan, X., Tavasoli, S., Yang, T. Y. (2023). Autonomous 3D vision-based bolt loosening assessment using micro aerial vehicles. Computer-aided Civil and Infrastructure Engineering. 1-12.
[3]. Pan, X., Yang, T. Y. (2023). 3D vision-based bolt loosening quantification using photogrammetry, deep learning, and point-cloud processing. Journal of Building Engineering. 106326.
[4]. Pan, X., & Yang, T. Y. (2022). Image-based monitoring of bolt loosening through deep-learning-based integrated detection and tracking. Computer-aided Civil and Infrastructure Engineering, 37(10), 1207-1222.