Journal
STRUCTURAL CONTROL & HEALTH MONITORING
Volume 20, Issue 6, Pages 878-889Publisher
JOHN WILEY & SONS LTD
DOI: 10.1002/stc.507
Keywords
structural health monitoring; damage detection; optimization algorithm; genetic algorithm; swarm-based algorithm
Funding
- Korea Research Foundation
- Korean Government [KRF-331-2008-1-D00024]
- Energy Efficiency & Resources of the Korea Institute of Energy Technology Evaluation and Planning (KETEP)
- Ministry of Knowledge Economy, Republic of Korea [2010201010094A]
- Korea Evaluation Institute of Industrial Technology (KEIT) [2010201010094A] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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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. Copyright (c) 2011 John Wiley & Sons, Ltd.
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