Performance evaluation of modified genetic and swarm-based optimization algorithms in damage identification problem

Minjoong Jeong, Jong Hun Choi, Bong Hwan Koh

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

An experimental verification of a damage detection process using novel optimization techniques such as modified real coded genetic algorithms and swarm-based algorithms is presented. Here, the objective function is defined as the sum of differences of the modal frequencies between intact and stiffness damaged state, which has to be minimized to identify the damage location and its severity in the process of model updating. In addition to the structural or damage variables such as the mass or stiffness of the numerical model, the profiles of modal frequency shifts are also damage-sensitive features. The iterative process that uses the proposed population-based optimization algorithms successfully identifies the local mass change of a test structure by updating the damage variables to fit the modal data of test structures such as a cantilevered beam and multibay truss frame.

Original languageEnglish
Pages (from-to)878-889
Number of pages12
JournalStructural Control and Health Monitoring
Volume20
Issue number6
DOIs
StatePublished - Jun 2013

Keywords

  • damage detection
  • genetic algorithm
  • optimization algorithm
  • structural health monitoring
  • swarm-based algorithm

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