Research progress in monitoring hydraulic concrete damage based on acoustic emission
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 a...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Tsinghua University Press
2023-12-01
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| Series: | Journal of Intelligent Construction |
| Subjects: | |
| Online Access: | https://www.sciopen.com/article/10.26599/JIC.2023.9180024 |
| _version_ | 1797354903060873216 |
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| author | Huaizhi Su Xiaoyang Xu Shenglong Zuo Shuai Zhang Xiaoqun Yan |
| author_facet | Huaizhi Su Xiaoyang Xu Shenglong Zuo Shuai Zhang Xiaoqun Yan |
| author_sort | Huaizhi Su |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T13:56:31Z |
| format | Article |
| id | doaj.art-d8f9ca8785a94724b0f331724b73ff0c |
| institution | Directory Open Access Journal |
| issn | 2958-3861 2958-2652 |
| language | English |
| last_indexed | 2024-03-08T13:56:31Z |
| publishDate | 2023-12-01 |
| publisher | Tsinghua University Press |
| record_format | Article |
| series | Journal of Intelligent Construction |
| spelling | doaj.art-d8f9ca8785a94724b0f331724b73ff0c2024-01-15T14:38:23ZengTsinghua University PressJournal of Intelligent Construction2958-38612958-26522023-12-01149180024918002410.26599/JIC.2023.9180024Research progress in monitoring hydraulic concrete damage based on acoustic emissionHuaizhi Su0Xiaoyang Xu1Shenglong Zuo2Shuai Zhang3Xiaoqun Yan4The National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing 210098, ChinaThe National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing 210098, ChinaPowerChina International Group Limited, Beijing 100048, ChinaPowerChina Kunming Engineering Corporation Limited, Kunming 650051, ChinaCollege of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, ChinaThe 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.https://www.sciopen.com/article/10.26599/JIC.2023.9180024hydraulic concretedamage evaluationacoustic emission (ae)intelligent algorithmintelligent evaluation framework |
| spellingShingle | Huaizhi Su Xiaoyang Xu Shenglong Zuo Shuai Zhang Xiaoqun Yan Research progress in monitoring hydraulic concrete damage based on acoustic emission Journal of Intelligent Construction hydraulic concrete damage evaluation acoustic emission (ae) intelligent algorithm intelligent evaluation framework |
| title | Research progress in monitoring hydraulic concrete damage based on acoustic emission |
| title_full | Research progress in monitoring hydraulic concrete damage based on acoustic emission |
| title_fullStr | Research progress in monitoring hydraulic concrete damage based on acoustic emission |
| title_full_unstemmed | Research progress in monitoring hydraulic concrete damage based on acoustic emission |
| title_short | Research progress in monitoring hydraulic concrete damage based on acoustic emission |
| title_sort | research progress in monitoring hydraulic concrete damage based on acoustic emission |
| topic | hydraulic concrete damage evaluation acoustic emission (ae) intelligent algorithm intelligent evaluation framework |
| url | https://www.sciopen.com/article/10.26599/JIC.2023.9180024 |
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