Vibration-based damage detection of structures by genetic algorithm

Hong Hao, Yong Xia

Research output: Journal article publicationJournal articleAcademic researchpeer-review

218 Citations (Scopus)

Abstract

Vibration-based methods are being rapidly applied to detect structural damage. The usual approaches incorporate sensitivity analysis and the optimization algorithm to minimize the discrepancies between the measured vibration data and the analytical data. However, conventional optimization methods are gradient based and usually lead to a local minimum only. Genetic algorithms explore the region of the whole solution space and can obtain the global optimum. In this paper, a genetic algorithm with real number encoding is applied to identify the structural damage by minimizing the objective function, which directly compares the changes in the measurements before and after damage. Three different criteria are considered, namely, the frequency changes, the mode shape changes, and a combination of the two. A laboratory tested cantilever beam and a frame are used to demonstrate the proposed technique. Numerical results show that the damaged elements can be detected by genetic algorithm, even when the analytical model is not accurate.
Original languageEnglish
Pages (from-to)222-229
Number of pages8
JournalJournal of Computing in Civil Engineering
Volume16
Issue number3
DOIs
Publication statusPublished - 1 Jul 2002
Externally publishedYes

Keywords

  • Algorithms
  • Damage
  • Sensibility analysis
  • Vibration

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Computer Science Applications

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