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공공누리This item is licensed Korea Open Government License

Title
Performance evaluation of modified genetic and swarm-based optimization algorithms in damage identification problem
Author(s)
정민중
Publication Year
2013-06-01
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.
Keyword
structural health monitoring; damage detection; optimization algorithm; genetic algorithm; swarm based
Journal Title
STRUCTURAL CONTROL AND HEALTH MONITORING
ISSN
1545-2255
DOI
10.1002/stc.507
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Appears in Collections:
7. KISTI 연구성과 > 학술지 발표논문
URI
https://repository.kisti.re.kr/handle/10580/14189
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