Optimization of concrete surface sensor arrangement for acoustic emission monitoring of prestressed steel strand damage in T-beams

Li, Shengli; Chang, Siyuan; Li, Panjie; Zhang, Xiaoyu; Jiang, Nan

doi:10.1016/j.apacoust.2024.110082

Applied Acoustics

2024

DOI: 10.1016/j.apacoust.2024.110082

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Optimization of concrete surface sensor arrangement for acoustic emission monitoring of prestressed steel strand damage in T-beams

Shengli Li,

Siyuan Chang,

Panjie Li

et al.

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A Proposed Algorithm Based on Variance to Effectively Estimate Crack Source Localization in Solids

Choi,

Chung,

Jung

2024

Sensors

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Acoustic emissions (AEs) are produced by elastic waves generated by damage in solid materials. AE sensors have been widely used in several fields as a promising tool to analyze damage mechanisms such as cracking, dislocation movement, etc. However, accurately determining the location of damage in solids in a non-destructive manner is still challenging. In this paper, we propose a crack wave arrival time determination algorithm that can identify crack waves with low SNRs (signal-to-noise ratios) generated in rocks. The basic idea is that the variances in the crack wave and noise have different characteristics, depending on the size of the moving window. The results can be used to accurately determine the crack source location. The source location is determined by observing where the variance in the crack wave velocities of the true and imaginary crack location reach a minimum. By performing a pencil lead break test using rock samples, it was confirmed that the proposed method could successfully find wave arrival time and crack localization. The proposed algorithm for source localization can be used for evaluating and monitoring damage in tunnels or other underground facilities in real time.

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A Proposed Algorithm Based on Variance to Effectively Estimate Crack Source Localization in Solids

Choi,

Chung,

Jung

2024

Sensors

View full text Add to dashboard Cite

show abstract

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Optimization of concrete surface sensor arrangement for acoustic emission monitoring of prestressed steel strand damage in T-beams

Cited by 1 publication

References 39 publications

A Proposed Algorithm Based on Variance to Effectively Estimate Crack Source Localization in Solids

A Proposed Algorithm Based on Variance to Effectively Estimate Crack Source Localization in Solids

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