Review on the new development of vibration-based damage identification for civil engineering structures: 2010–2019

Rongrong Hou, Yong Xia

Research output: Journal article publicationReview articleAcademic researchpeer-review

4 Citations (Scopus)

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.

Original languageEnglish
Article number115741
JournalJournal of Sound and Vibration
Volume491
DOIs
Publication statusPublished - 20 Jan 2021

Keywords

  • Damage identification
  • Model updating
  • Review
  • Vibration method

ASJC Scopus subject areas

  • Condensed Matter Physics
  • Mechanics of Materials
  • Acoustics and Ultrasonics
  • Mechanical Engineering

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