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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.3
- 발행연도
- 2019.1
- 수록면
- 339 - 350 (12page)
이용수
초록· 키워드
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This research focuses on finite element model updating and damage assessment of structures at element level based on global nondestructive test results. For this purpose, an optimization system is generated to minimize the structural dynamic parameters discrepancies between numerical and experimental models. Objective functions are selected based on the square of Euclidean norm error of vibration frequencies and modal assurance criterion of mode shapes. In order to update the finite element model and detect local damages within the structural members, modern optimization techniques is implemented according to the evolutionary algorithms to meet the global optimized solution. Using a simulated numerical example, application of genetic algorithm (GA), particle swarm (PSO) and artificial bee colony (ABC) algorithms are investigated in FE model updating and damage detection problems to consider their accuracy and convergence characteristics. Then, a hybrid multi stage optimization method is presented merging advantages of PSO and ABC methods in finding damage location and extent. The efficiency of the methods have been examined using two simulated numerical examples, a laboratory dynamic test and a high-rise building field ambient vibration test results. The implemented evolutionary updating methods show successful results in accuracy and speed considering the incomplete and noisy experimental measured data.
목차
등록된 정보가 없습니다.
참고문헌 (49)
참고문헌 신청
Allemang, R. J. / 2003 / The modal assurance criterion-twenty years of use and abuse / Sound Vibr 37(8):14~23
Aote, S. S. / 2013 / A brief review on particle swarm optimization : Limitations & future directions / Int. J. Comput. Sci. Eng 14(1):196~200
O. Begambre / 2009 / A hybrid Particle Swarm Optimization – Simplex algorithm (PSOS) for structural damage identification / Advances in Engineering Software 40(9):883~891
Dionisio Bernal / 2002 / Load Vectors for Damage Localization / Journal of Engineering Mechanics 128(1):7~14
Nenad Bicanic / 1997 / Damage identification in framed structures using natural frequencies / International Journal for Numerical Methods in Engineering 40(23):4451~4468
Aote, S. S. / 2013 / A brief review on particle swarm optimization : Limitations & future directions / Int. J. Comput. Sci. Eng 14(1):196~200
O. Begambre / 2009 / A hybrid Particle Swarm Optimization – Simplex algorithm (PSOS) for structural damage identification / Advances in Engineering Software 40(9):883~891
Dionisio Bernal / 2002 / Load Vectors for Damage Localization / Journal of Engineering Mechanics 128(1):7~14
Nenad Bicanic / 1997 / Damage identification in framed structures using natural frequencies / International Journal for Numerical Methods in Engineering 40(23):4451~4468
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