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Improved Genetic Algorithm-Based Damage Detection Technique Using Natural Frequency and Modal Strain Energy  

Park Jae-Hyung (부경대학교 해양공학과)
Ryu Yeon-Sun (부경대학교 해양공학과)
Yi Jin-Hak (한국해양연구원 연안개발연구본부)
Kim Jeong-Tae (부경대학교 해양공학과)
Publication Information
Journal of the Computational Structural Engineering Institute of Korea / v.19, no.3, 2006 , pp. 313-322 More about this Journal
Abstract
In the genetic algoricm (GA) based damage detection methods using vibration of structures, the selection of modal properties is important to improve the accuracy of damage detection. The objective of this study is to improve the accuracy of damage detection using natural frequency and modal strain energy, The following approaches are used to achieve the goal. First, modal strain energy is formulated and a new GA-based damage detection technique using natural frequency and modal strain energy is proposed. Next, to verify the efficiency of proposed technique, damage scenarios for free-free beam are designed and vibration modal tests of the target structure are conducted. Finally, the feasibility of the proposed technique is verified in comparison with other GA-based damage detection technique using natural frequency and mode shape.
Keywords
system identification; vibration-based damage detection; modal strain energy; genetic algorithm;
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Times Cited By KSCI : 2  (Citation Analysis)
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