Damage detection on a 3D structure using phase-based motion processing

Seungpyo Jo; Yeseul Kong; Yinan Miao; Jun Young Jeon; Gyuhae Park

doi:10.1117/12.2614148

18 April 2022 Damage detection on a 3D structure using phase-based motion processing

Seungpyo Jo, Yeseul Kong, Yinan Miao, Jun Young Jeon, Gyuhae Park

Proceedings Volume PC12049, NDE 4.0, Predictive Maintenance, and Communication and Energy Systems in a Globally Networked World; (2022) https://doi.org/10.1117/12.2614148
Event: SPIE Smart Structures + Nondestructive Evaluation, 2022, Long Beach, California, United States

Abstract

The computer vision-based measurements offer the superior capabilities over traditional sensing systems, including high spatial resolutions, no mass-loading effects, and low cost. This capability allows the vision-based technique to be widely applied to the damage detection practice as a more efficient way compared to conventional methods. The recently developed phase-based motion processing technique can measure the displacement signals with high accuracy and noise robustness. In this study, an automated damage identification and localization technique based on the phase-based motion processing is proposed. The local phase of the object is extracted using a optimal steerable filter. The modal parameters are then obtained after performing the morphological operation on the edge image in conjunction with the phase signals. Damage is finally localized and assessed by the features extracted by the identified modal parameters. Several experiments are carried out to validate the proposed technique on a 5-story structure under different bolt losing conditions. The experimental results show that the proposed technique can automatically detect and evaluate the damage with high accuracy.

Conference Presentation

Citation Download Citation

Seungpyo Jo, Yeseul Kong, Yinan Miao, Jun Young Jeon, and Gyuhae Park "Damage detection on a 3D structure using phase-based motion processing", Proc. SPIE PC12049, NDE 4.0, Predictive Maintenance, and Communication and Energy Systems in a Globally Networked World, (18 April 2022); https://doi.org/10.1117/12.2614148

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