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• W3088634102 endingPage "115741" @default.
• W3088634102 startingPage "115741" @default.
• W3088634102 abstract "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." @default.
• W3088634102 created "2020-10-01" @default.
• W3088634102 creator A5057900744 @default.
• W3088634102 creator A5073180390 @default.
• W3088634102 date "2021-01-01" @default.
• W3088634102 modified "2023-10-10" @default.
• W3088634102 title "Review on the new development of vibration-based damage identification for civil engineering structures: 2010–2019" @default.
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