An Image-Based Algorithm for the Automatic Detection of Loosened Bolts †
1
Faculty of Civil Engineering, Duy Tan University, 03 Quang Trung, Hai Chau, Danang 550000, Vietnam
2
Institute of Research and Development, Duy Tan University, 03 Quang Trung, Hai Chau, Danang 550000, Vietnam
3
Faculty of Civil Engineering, Ho Chi Minh City University of Technology (HCMUT), 268 Ly Thuong Kiet, District 10, Ho Chi Minh City 700000, Vietnam
4
Vietnam National University Ho Chi Minh City (VNU-HCM), Linh Trung Ward, Thu Duc District, Ho Chi Minh City 700000, Vietnam
*
Author to whom correspondence should be addressed.
†
Presented at the 1st International Electronic Conference on Algorithms, 27 September–10 October 2021; Available online: https://ioca2021.sciforum.net/ .
Comput. Sci. Math. Forum 2022, 2(1), 1; https://doi.org/10.3390/IOCA2021-10893
Published: 23 September 2021
(This article belongs to the Proceedings of The 1st International Electronic Conference on Algorithms)
Abstract
:The bolted joint has been widely used to connect load-bearing elements in aerospace, civil, and mechanical engineering systems. During its service life, particularly under external dynamical loads, a bolted joint may undergo self-loosening. Bolt looseness causes a reduction in its load-bearing capacity and eventually leads to the failure of a bolted joint. This paper presents an automated image-based algorithm combining the Faster R-CNN model with image processing for the quick detection of loosened bolts in a structural connection. The algorithm is validated using a lab-scale bolted joint model for which various bolt-loosening events are simulated. The imagery data of the joint is captured and passed through the algorithm for bolt looseness detection. The obtained results show that the loosened bolts in the joint were well-detected and that their loosening degrees were precisely quantified; therefore, the image-based algorithm is promising for real-time structural health monitoring of realistic bolted joints.
Supplementary Materials
The conference presentation file is available at https://sciforum.net/manuscripts/10893/slides.pdf.
Author Contributions
Conceptualization, T.-C.H.; methodology, T.-C.H.; validation, T.-C.H.; T.-C.H.; writing—original draft preparation, T.-C.H.; writing—review and editing, T.-C.H., N.-D.H., D.-D.H. and X.-L.T.; supervision, T.-C.H. All authors have read and agreed to the published version of the manuscript.
Funding
This research is funded by Vietnam National Foundation for Science and Technology Development (NAFOSTED) under grant number 107.01-2019.332.
Conflicts of Interest
The authors declare no conflict of interest.
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MDPI and ACS Style
Huynh, T.-C.; Hoang, N.-D.; Ho, D.-D.; Tran, X.-L. An Image-Based Algorithm for the Automatic Detection of Loosened Bolts. Comput. Sci. Math. Forum 2022, 2, 1. https://doi.org/10.3390/IOCA2021-10893
AMA Style
Huynh T-C, Hoang N-D, Ho D-D, Tran X-L. An Image-Based Algorithm for the Automatic Detection of Loosened Bolts. Computer Sciences & Mathematics Forum. 2022; 2(1):1. https://doi.org/10.3390/IOCA2021-10893
Chicago/Turabian StyleHuynh, Thanh-Canh, Nhat-Duc Hoang, Duc-Duy Ho, and Xuan-Linh Tran. 2022. "An Image-Based Algorithm for the Automatic Detection of Loosened Bolts" Computer Sciences & Mathematics Forum 2, no. 1: 1. https://doi.org/10.3390/IOCA2021-10893
