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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 국제구조공학회 Structural Engineering and Mechanics, An Int'l Journal Structural Engineering and Mechanics, An Int'l Journal Vol.70 No.6
- 발행연도
- 2019.1
- 수록면
- 649 - 659 (11page)
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초록· 키워드
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Vibration-based structural damage detection through optimization algorithms and minimization of objective function has recently become an interesting research topic. Application of various objective functions as well as optimization algorithms may affect damage diagnosis quality. This paper proposes a new damage identification method using Moth-Flame Optimization (MFO). MFO is a nature-inspired algorithm based on moth’s ability to navigate in dark. Objective function consists of a term with modal assurance criterion flexibility and natural frequency. To show the performance of the said method, two numerical examples including truss and shear frame have been studied. Furthermore, Los Alamos National Laboratory test structure was used for validation purposes. Finite element model for both experimental and numerical examples was created by MATLAB software to extract modal properties of the structure. Mode shapes and natural frequencies were contaminated with noise in above mentioned numerical examples. In the meantime, one of the classical optimization algorithms called particle swarm optimization was compared with MFO. In short, results obtained from numerical and experimental examples showed that the presented method is efficient in damage identification.
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참고문헌 (53)
참고문헌 신청
Abdo, M. A. B. / 2002 / A numerical study of structural damage detection using changes in the rotation of mode shapes / J. Sound Vib 251(2):227~239
Sujin Bureerat / 2018 / Inverse problem based differential evolution for efficient structural health monitoring of trusses / Applied Soft Computing 66:462~472
Bozorg-Haddad, O. / 2018 / Advanced Optimization by Nature-Inspired Algorithms / Springer
D. Dinh-Cong / 2018 / Damage assessment in truss structures with limited sensors using a two-stage method and model reduction / Applied Soft Computing 66:264~277
Dinh-Cong, D. / 2018 / Efficiency of Jaya algorithm for solving the optimization-based structural damage identification problem based on a hybrid objective function / Eng. Opt 50(8):1233~1251
Sujin Bureerat / 2018 / Inverse problem based differential evolution for efficient structural health monitoring of trusses / Applied Soft Computing 66:462~472
Bozorg-Haddad, O. / 2018 / Advanced Optimization by Nature-Inspired Algorithms / Springer
D. Dinh-Cong / 2018 / Damage assessment in truss structures with limited sensors using a two-stage method and model reduction / Applied Soft Computing 66:264~277
Dinh-Cong, D. / 2018 / Efficiency of Jaya algorithm for solving the optimization-based structural damage identification problem based on a hybrid objective function / Eng. Opt 50(8):1233~1251
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