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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 국제구조공학회 Smart Structures and Systems, An International Journal Smart Structures and Systems, An International Journal Vol.25 No.3
- 발행연도
- 2020.1
- 수록면
- 345 - 368 (24page)
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초록· 키워드
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The present work proposes a self-controlled multi-stage optimization method for damage identification of structures utilizing standard particle swarm optimization (PSO) algorithm. Damage identification problem is formulated as an inverse optimization problem where damage severity in each element of the structure is considered as optimization variables. An efficient objective function is formed using the first few frequencies and mode shapes of the structure. This objective function is minimized by a self-controlled multi-stage strategy to identify and quantify the damage extent of the structural members. In the first stage, standard PSO is utilized to get an initial solution to the problem. Subsequently, the algorithm identifies the most damage-prone elements of the structure using an adaptable threshold value of damage severity. These identified elements are included in the search space of the standard PSO at the next stage. Thus, the algorithm reduces the dimension of the search space and subsequently increases the accuracy of damage prediction with a considerable reduction in computational cost. The efficiency of the proposed method is investigated and compared with available results through three numerical examples considering both with and without noise. The obtained results demonstrate the accuracy of the present method can accurately estimate the location and severity of multi-damage cases in the structural systems with less computational cost.
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참고문헌 (54)
참고문헌 신청
F.T.K. AU / 2003 / STRUCTURAL DAMAGE DETECTION BASED ON A MICRO-GENETIC ALGORITHM USING INCOMPLETE AND NOISY MODAL TEST DATA / Journal of Sound and Vibration 259(5):1081~1094
M.T. Vakil Baghmisheh / 2012 / A hybrid particle swarm–Nelder–Mead optimization method for crack detection in cantilever beams / Applied Soft Computing 12(8):2217~2226
P Cawley / 1979 / The location of defects in structures from measurements of natural frequencies / The Journal of Strain Analysis for Engineering Design 14(2):49~57
Ze-Peng Chen / 2017 / A novel PSO-based algorithm for structural damage detection using Bayesian multi-sample objective function / Structural Engineering and Mechanics, An Int＇l Journal 63(6):825~835
Z.H. Ding / 2016 / Structural damage detection using artificial bee colony algorithm with hybrid search strategy / Swarm and Evolutionary Computation 28:1~13
M.T. Vakil Baghmisheh / 2012 / A hybrid particle swarm–Nelder–Mead optimization method for crack detection in cantilever beams / Applied Soft Computing 12(8):2217~2226
P Cawley / 1979 / The location of defects in structures from measurements of natural frequencies / The Journal of Strain Analysis for Engineering Design 14(2):49~57
Ze-Peng Chen / 2017 / A novel PSO-based algorithm for structural damage detection using Bayesian multi-sample objective function / Structural Engineering and Mechanics, An Int＇l Journal 63(6):825~835
Z.H. Ding / 2016 / Structural damage detection using artificial bee colony algorithm with hybrid search strategy / Swarm and Evolutionary Computation 28:1~13
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