Condition assessment of corroded RC members by nonlinear vibration technique

Research output: Contribution to journalConference articlepeer-review

Abstract

Vibration-based inspection tests aim to monitor mostly the shifts in the modal parameters of a structure. As a complementary approach to improve the accuracy of diagnosis, the higher harmonics of the resonances caused by any damage/fault in the dynamic response of the structure can also be tracked and measured for the damage quantification. This paper presents a nonlinear-vibration based diagnostic technique to assess the condition of the corroded reinforced concrete (RC) members. The technique utilizes the higher order spectral (HOS) analysis to detect and quantify the nonlinearity in the dynamic response due to the deterioration induced by corrosion. The HOS analysis, which is used to measure the magnitude of phase-coupled harmonics due to damage, is herein adapted by implementing wavelet transform in order to suit the transit vibration response. The proposed diagnosis is demonstrated on two lab-scale RC poles, one intact and the other corroded up to 10% mass loss of the rebars, by conducting impact hammer tests. The recorded vibration signals are then examined with the HOS analysis to extract the diagnostic index which is a measure for the overall deterioration in the specimens. It is found that the developed feature successfully discriminates the corroded pole from the intact one. The pilot study presented herein is planned to be expended with additional specimens in order to investigate the sensitivity of the index with respect to the deterioration level.

Original languageEnglish
Pages (from-to)409-414
Number of pages6
JournalProceedings of the International Conference on Structural Health Monitoring of Intelligent Infrastructure.
Volume2021
Issue numberJune
Publication statusPublished - 2021
Externally publishedYes
Event10th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2021 - Porto, Portugal
Duration: 30 Jun 20212 Jul 2021

Bibliographical note

Funding Information:
The author thanks Professor Giovanni Cascante from the Department of Civil and Environmental Engineering at the University of Waterloo for providing the test equipment and the test specimens for this research paper.

Publisher Copyright:
© 2021 International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII. All rights reserved.

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