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http://hdl.handle.net/10397/98045
| Title: | Review on the new development of vibration-based damage identification for civil engineering structures : 2010–2019 | Authors: | Hou, R Xia, Y |
Issue Date: | 20-Jan-2021 | Source: | Journal of sound and vibration, 20 Jan. 2021, v. 491, 115741 | Abstract: | Structural damage identification has received considerable attention during the past decades. Although several reviews have been presented, some new developments have emerged in this area, particularly machine learning and artificial intelligence techniques. This article reviews the progress in the area of vibration-based damage identification methods over the past 10 years. These methods are classified in terms of different damage indices and analytical/numerical techniques used with discussions of their advantages and disadvantages. The challenges and future research for vibration-based damage identification are summarised. This review aims to help researchers and practitioners in implementing existing damage detection algorithms effectively and developing more reliable and practical methods for civil engineering structures in the future. | Keywords: | Damage identification Model updating Review Vibration method |
Publisher: | Academic Press | Journal: | Journal of sound and vibration | ISSN: | 0022-460X | EISSN: | 1095-8568 | DOI: | 10.1016/j.jsv.2020.115741 | Rights: | © 2020 Elsevier Ltd. All rights reserved. © 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/. The following publication Hou, R., & Xia, Y. (2021). Review on the new development of vibration-based damage identification for civil engineering structures: 2010–2019. Journal of Sound and Vibration, 491, 115741 is available at https://doi.org/10.1016/j.jsv.2020.115741. |
| Appears in Collections: | Journal/Magazine Article |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Xia_Review_New_Development.pdf | Pre-Published version | 1.34 MB | Adobe PDF | View/Open |
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