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Smart Structures and Systems Volume 27, Number 3, March 2021 , pages 407-419 DOI: https://doi.org/10.12989/sss.2021.27.3.407 |
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Cluster analysis and damage identification for FRP/steel-confined RC column using AE technique |
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Fangzhu Du, Dongsheng Li and Dapeng Qiu
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| Abstract | ||
| This article presents the damage evaluation and pattern recognition for the newly proposed fiber reinforced polymer (FRP)/steel-confined reinforced concrete columns. The interaction of FRP material, steel tube, and reinforced concrete lead to complex damage mechanisms and invisible damage modes. The prevailing acoustic emission (AE) technique was applied to monitor the damage process and detect the sheltered damages under cyclic loading. Characteristic AE parameters, such as energy and duration, were extracted to disclose the damage evolution and evaluate the damage state. Three typical damage stages were identified. The fuzzy C.means (FCM) algorithm and particle swarm optimization (PSO) algorithm were applied as efficient clustering tools to discriminate different damage signals of FRP/steel-confined RC columns. Five types of damage mechanisms were identified and illustrated based on the statistical analysis of typical AE features. Furthermore, typical damage waveforms were extracted, the frequency content of each damage signal was discussed on the basis of wavelet transform. | ||
| Key Words | ||
| FRP/steel-confined RC column; acoustic emission; pattern recognition; cluster analysis; wavelet analysis | ||
| Address | ||
| (1) Fangzhu Du, Dapeng Qiu: School of Civil Engineering, Shandong Jianzhu University, Jinan, Shandong 250101, China; (2) Dongsheng Li: School of Civil Engineering, Dalian University of Technology, Dalian, Liaoning 116024, China. | ||