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The acoustic emission (AE) technique is suitable for monitoring and evaluating hydraulic concrete damage due to its good response to material damage. While continuously advancing conventional AE analysis methods, various advanced digital processing technologies and intelligent algorithms have been applied to deeply explore the damage information and evaluate hydraulic concrete damage. An intelligent framework for evaluating hydraulic concrete damage based on AE has been established, according to the working principle of the AE monitoring system for hydraulic concrete damage. Based on the content involved in this framework, a review is conducted on the current research status of hot topics such as conventional analysis methods, signal processing methods, acoustic source localization (ASL) methods, AE source recognition methods, and deep learning technique applications. The complex characteristics of AE signals of hydraulic concrete damage and the research needs of how to overcome the adverse effects have been summarized, aiming to continuously improve the framework and achieve the construction of an intelligent platform for evaluating hydraulic concrete damage based on AE.


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Research progress in monitoring hydraulic concrete damage based on acoustic emission

Show Author's information Huaizhi Su1,2( )Xiaoyang Xu1,2Shenglong Zuo3Shuai Zhang4,5Xiaoqun Yan2
The National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing 210098, China
College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China
PowerChina International Group Limited, Beijing 100048, China
PowerChina Kunming Engineering Corporation Limited, Kunming 650051, China
Yunnan Provincial Key Laboratory of Water Resources and Hydropower Engineering Safety, Kunming 650051, China

Abstract

The acoustic emission (AE) technique is suitable for monitoring and evaluating hydraulic concrete damage due to its good response to material damage. While continuously advancing conventional AE analysis methods, various advanced digital processing technologies and intelligent algorithms have been applied to deeply explore the damage information and evaluate hydraulic concrete damage. An intelligent framework for evaluating hydraulic concrete damage based on AE has been established, according to the working principle of the AE monitoring system for hydraulic concrete damage. Based on the content involved in this framework, a review is conducted on the current research status of hot topics such as conventional analysis methods, signal processing methods, acoustic source localization (ASL) methods, AE source recognition methods, and deep learning technique applications. The complex characteristics of AE signals of hydraulic concrete damage and the research needs of how to overcome the adverse effects have been summarized, aiming to continuously improve the framework and achieve the construction of an intelligent platform for evaluating hydraulic concrete damage based on AE.

Keywords: damage evaluation, hydraulic concrete, acoustic emission (AE), intelligent algorithm, intelligent evaluation framework

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Publication history

Received: 14 September 2023
Revised: 25 September 2023
Accepted: 26 September 2023
Published: 08 November 2023
Issue date: December 2023

Copyright

© The Author(s) 2023. Published by Tsinghua University Press.

Acknowledgements

This research has been partially supported by the National Natural Science Foundation of China (Nos. 52239009, 51979093), the National Key R&D Program of China (No. 2019YFC1510801), Open Foundation of the National Key Laboratory of Water Disaster Prevention (No. 523024852), Fundamental Research Funds for the Central Universities (No. 2019B69814).

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