Acoustic Emission‐Based Evaluation and Mechanistic Analysis of Instability Failure in Concrete Materials.
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| Title: | Acoustic Emission‐Based Evaluation and Mechanistic Analysis of Instability Failure in Concrete Materials. |
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| Authors: | Wang, Zonglian1 (AUTHOR), Zhou, Xiaoqiang1 (AUTHOR), Hou, Qingsen1 (AUTHOR), Li, Dan2 (AUTHOR) lidan@seu.edu.cn, Hu, Jianhong1 (AUTHOR), Chen, Dijian1 (AUTHOR), Tan, Xiao (AUTHOR) xiaotan@hhu.edu.cn |
| Source: | Advances in Civil Engineering. 6/29/2026, Vol. 2026, p1-11. 11p. |
| Subjects: | Acoustic emission, Wavelet transforms, Structural health monitoring, Compression loads, Structural failures, Frequency-domain analysis, Entropy (Information theory), Deterioration of concrete |
| Abstract: | This study presents a quantitative method for assessing concrete damage based on acoustic emission (AE) signal analysis. Employing AE to monitor damage evolution under uniaxial compressive loading in real time. The collected signals were subjected to two‐layer wavelet packet decomposition (WPD) to obtain four frequency bands. Subsequently, the corresponding wavelet packet energy spectrum coefficients were calculated, from which the wavelet packet energy entropy was derived to characterize the energy distribution features of the AE signals. The evolution of wavelet packet energy spectrum coefficients and wavelet packet energy entropy during the concrete damage process was analyzed, showing that in the unstable failure stage the number of AE signals with energy highly concentrated in the low‐frequency band rises sharply, and the corresponding entropy decreases markedly compared with the stable damage stage. The physical mechanism of this phenomenon was further investigated. The results show that the abrupt variation of wavelet packet energy entropy can effectively characterize the critical transition of concrete from stable damage evolution to unstable failure, providing a quantitative indicator for structural health monitoring and early warning of concrete structures. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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| Abstract: | This study presents a quantitative method for assessing concrete damage based on acoustic emission (AE) signal analysis. Employing AE to monitor damage evolution under uniaxial compressive loading in real time. The collected signals were subjected to two‐layer wavelet packet decomposition (WPD) to obtain four frequency bands. Subsequently, the corresponding wavelet packet energy spectrum coefficients were calculated, from which the wavelet packet energy entropy was derived to characterize the energy distribution features of the AE signals. The evolution of wavelet packet energy spectrum coefficients and wavelet packet energy entropy during the concrete damage process was analyzed, showing that in the unstable failure stage the number of AE signals with energy highly concentrated in the low‐frequency band rises sharply, and the corresponding entropy decreases markedly compared with the stable damage stage. The physical mechanism of this phenomenon was further investigated. The results show that the abrupt variation of wavelet packet energy entropy can effectively characterize the critical transition of concrete from stable damage evolution to unstable failure, providing a quantitative indicator for structural health monitoring and early warning of concrete structures. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 16878086 |
| DOI: | 10.1155/adce/2379699 |
