지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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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.62 No.6
- 발행연도
- 2017.1
- 수록면
- 709 - 717 (9page)
이용수
초록· 키워드
오류제보하기
This paper develops a two-stage method for structural damage identification by using modal data. First, the Residual Force Vector (RFV) is introduced to detect any potentially damaged elements of structures. Second, data of the frequency domain are used to build up the objective function, and then the Imperialist Competitive Algorithm (ICA) is utilized to estimate damaged extents. ICA is a heuristic algorithm with simple structure, which is easy to be implemented and it is effective to deal with high-dimension nonlinear optimization problem. The advantages of this present method are: (1) Calculation complexity can be decreased greatly after eliminating many intact elements in the first step. (2) Robustness, ICA ensures the robustness of the proposed method. Various damaged cases and different structures are investigated in numerical simulations. From these results, anyone can point out that the present algorithm is effective and robust for structural damage identification and is also better than many other heuristic algorithms.
목차
등록된 정보가 없습니다.
참고문헌 (26)
참고문헌 신청
Atashpaz-Gargari, E. / 2007 / Imperialist competitive algorithm : An algorithm for optimization inspired by imperialistic competition / IEEE Congress on Evolutionary Computation :4661~4667
Au, F. T. K. / 2003 / Structural damage detection based on a micro-genetic algorithm using incomplete and noisy modal test data / J. Sound Vib 259(5):1081~1094
Dackermann, U. I. / 2014 / Damage identification based on response-only measurements using cepstrum analysis and artificial neural network / Struct. Hlth. Monit 13(4):430~444
Ding, Z. H. / 2016 / Structural damage detection using artificial bee colony algorithm with hybrid search strategy / Swarm Evolut. Comput 28:1~13
Friswell, M. I. / 1998 / A combined genetic and eigensensitivity algorithm for the location of damage in structures / Comput. Struct 6(9):547~556
Au, F. T. K. / 2003 / Structural damage detection based on a micro-genetic algorithm using incomplete and noisy modal test data / J. Sound Vib 259(5):1081~1094
Dackermann, U. I. / 2014 / Damage identification based on response-only measurements using cepstrum analysis and artificial neural network / Struct. Hlth. Monit 13(4):430~444
Ding, Z. H. / 2016 / Structural damage detection using artificial bee colony algorithm with hybrid search strategy / Swarm Evolut. Comput 28:1~13
Friswell, M. I. / 1998 / A combined genetic and eigensensitivity algorithm for the location of damage in structures / Comput. Struct 6(9):547~556
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