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Open AccessArticle
Advances in Structural Health Monitoring: Bio-Inspired Optimization Techniques and Vision-Based Monitoring System for Damage Detection Using Natural Frequency
by
Minkyu Jung
Minkyu Jung ,
Jiyeon Koo
Jiyeon Koo and
Andrew Jaeyong Choi
Andrew Jaeyong Choi *
School of Computing, Department of AI-SW, Gachon University, 1342 Seongnam-daero, Sujeong-gu, Seongnam 13306, Republic of Korea
*
Author to whom correspondence should be addressed.
Mathematics 2024, 12(17), 2633; https://doi.org/10.3390/math12172633 (registering DOI)
Submission received: 9 July 2024
/
Revised: 7 August 2024
/
Accepted: 23 August 2024
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Published: 24 August 2024
Abstract
This paper introduces the improvements in natural-frequency-based SHM by applying bio-inspired optimization methods and a vision-based monitoring system for effective damage detection. This paper proposes a natural frequency extraction method using a motion magnification-based vision monitoring system with bio-inspired optimization techniques to estimate the damage location and depth in a cantilever beam. The proposed optimization techniques are inspired by natural processes and biological evolution including genetic algorithms, particle swarm optimization, sea lion optimization, and coral reefs optimization. To verify the performance of each bio-inspired optimization method, the eigenvalues of a two-bay truss structure are used for estimating the damaged elements. Then, using the proposed video motion magnification method, the natural frequency for each undamaged and damaged cantilever beam is extracted and compared with the LDV sensor to verify the proposed vision-based monitoring system. The performance of each bio-inspired optimizer in damage detection is compared. As a result, coral reefs optimization shows the lowest average error, around 1%, in damage detection using the natural frequency.
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MDPI and ACS Style
Jung, M.; Koo, J.; Choi, A.J.
Advances in Structural Health Monitoring: Bio-Inspired Optimization Techniques and Vision-Based Monitoring System for Damage Detection Using Natural Frequency. Mathematics 2024, 12, 2633.
https://doi.org/10.3390/math12172633
AMA Style
Jung M, Koo J, Choi AJ.
Advances in Structural Health Monitoring: Bio-Inspired Optimization Techniques and Vision-Based Monitoring System for Damage Detection Using Natural Frequency. Mathematics. 2024; 12(17):2633.
https://doi.org/10.3390/math12172633
Chicago/Turabian Style
Jung, Minkyu, Jiyeon Koo, and Andrew Jaeyong Choi.
2024. "Advances in Structural Health Monitoring: Bio-Inspired Optimization Techniques and Vision-Based Monitoring System for Damage Detection Using Natural Frequency" Mathematics 12, no. 17: 2633.
https://doi.org/10.3390/math12172633
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