A genetic algorithm for structural damage detection based on vibration data

Yong Xia, H. Hao

Research output: Journal article publicationConference articleAcademic researchpeer-review

12 Citations (Scopus)

Abstract

In this paper genetic algorithm with real number encoding is applied to identify the structural damage with vibration data. The objective function is minimized by directly comparing the changes in the measurements before and after damage, rather than updating the finite element model in the undamaged and damaged states. Three different criteria are considered, namely the frequency changes, the mode shape changes and their combination. A laboratory tested cantilever beam and a frame are used to demonstrate the proposed technique. Numerical results show that all the damaged elements can be detected accurately by genetic algorithm, even when the analytical model is not accurate. The weights of frequency changes and mode shape changes are also investigated.
Original languageEnglish
Pages (from-to)1381-1387
Number of pages7
JournalProceedings of the International Modal Analysis Conference - IMAC
Volume2
Publication statusPublished - 1 Jan 2001
Externally publishedYes
EventProceedings of IMAC-XIX: A Conference on Structural Dynamics - Kissimmee, FL, United States
Duration: 5 Feb 20018 Feb 2001

ASJC Scopus subject areas

  • Engineering(all)

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