Image Registration-Based Bolt Loosening Detection of Steel Joints
Open Access
- 27 March 2018
- Vol. 18 (4), 1000
- https://doi.org/10.3390/s18041000
Abstract
Self-loosening of bolts caused by repetitive loads and vibrations is one of the common defects that can weaken the structural integrity of bolted steel joints in civil structures. Many existing approaches for detecting loosening bolts are based on physical sensors and, hence, require extensive sensor deployment, which limit their abilities to cost-effectively detect loosened bolts in a large number of steel joints. Recently, computer vision-based structural health monitoring (SHM) technologies have demonstrated great potential for damage detection due to the benefits of being low cost, easy to deploy, and contactless. In this study, we propose a vision-based non-contact bolt loosening detection method that uses a consumer-grade digital camera. Two images of the monitored steel joint are first collected during different inspection periods and then aligned through two image registration processes. If the bolt experiences rotation between inspections, it will introduce differential features in the registration errors, serving as a good indicator for bolt loosening detection. The performance and robustness of this approach have been validated through a series of experimental investigations using three laboratory setups including a gusset plate on a cross frame, a column flange, and a girder web. The bolt loosening detection results are presented for easy interpretation such that informed decisions can be made about the detected loosened bolts.Keywords
Funding Information
- University of Kansas (One University Open Access Author Fund)
This publication has 41 references indexed in Scilit:
- Dynamic displacement measurement of large-scale structures based on the Lucas–Kanade template tracking algorithmMechanical Systems and Signal Processing, 2016
- Vision-Based Automated Crack Detection for Bridge InspectionComputer-Aided Civil and Infrastructure Engineering, 2015
- Modal identification of simple structures with high-speed video using motion magnificationJournal of Sound and Vibration, 2015
- elastix: A Toolbox for Intensity-Based Medical Image RegistrationIEEE Transactions on Medical Imaging, 2009
- Active health monitoring of an aircraft wing with embedded piezoelectric sensor/actuator network: I. Defect detection, localization and growth monitoringSmart Materials and Structures, 2007
- Detection of bolt loosening in C–C composite thermal protection panels: I. Diagnostic principleSmart Materials and Structures, 2006
- Non-rigid image registration: theory and practiceThe British Journal of Radiology, 2004
- A Study of Early Stage Self-Loosening of Bolted JointsJournal of Mechanical Design, 2003
- Mutual information-based image registration for remote sensing dataInternational Journal of Remote Sensing, 2003
- MLESAC: A New Robust Estimator with Application to Estimating Image GeometryComputer Vision and Image Understanding, 2000