지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
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.72 No.6
- 발행연도
- 2019.1
- 수록면
- 689 - 712 (24page)
이용수
초록· 키워드
오류제보하기
Time-series models like AR-ARX and ARMAX, provide a robust way to capture the dynamic properties of structures, and their residuals can be effectively used as features for damage detection. Even though several research papers discuss the implementation of AR-ARX and ARMAX models for damage diagnosis, they are basically been exploited so far for detecting the time instant of damage and also the spatial location of the damage. However, the inverse problem associated with damage quantification i.e. extent of damage using time series models is not been reported in the literature. In this paper, an approach to detect the extent of damage by combining the ARMAX model by formulating the inverse problem as a multi-constrained optimization problem and solving using a newly developed hybrid adaptive differential search with dynamic interaction is presented. The proposed variant of the differential search technique employs small multiple populations which perform the search independently and exchange the information with the dynamic neighborhood. The adaptive features and local search ability features are built into the algorithm in order to improve the convergence characteristics and also the overall performance of the technique. The multi-constrained optimization formulations of the inverse problem, associated with damage quantification using time series models, attempted here for the first time, can considerably improve the robustness of the search process. Numerical simulation studies have been carried out by considering three numerical examples to demonstrate the effectiveness of the proposed technique in robustly identifying the extent of the damage. Issues related to modeling errors and also measurement noise are also addressed in this paper.
목차
등록된 정보가 없습니다.
참고문헌 (42)
참고문헌 신청
Akhras, G. / 2008 / Proceedings of the 4th European Workshop on Structural Health Monitoring
L. Balsamo / 2014 / A structural health monitoring strategy using cepstral features / Journal of Sound and Vibration 333(19):4526~4542
A. Bagheri / 2011 / Structural damage identification of plates based on modal data using 2D discrete wavelet transform / Structural Engineering and Mechanics, An Int＇l Journal 40(1):13~28
Chunxiao Bao / 2009 / Time-varying system identification using a newly improved HHT algorithm / Computers & Structures 87(23-24):1611~1623
Björck, Ȧ. / 1973 / Numerical methods for computing angles between linear subspaces / Mathematics of Computation 27(123):579~579
L. Balsamo / 2014 / A structural health monitoring strategy using cepstral features / Journal of Sound and Vibration 333(19):4526~4542
A. Bagheri / 2011 / Structural damage identification of plates based on modal data using 2D discrete wavelet transform / Structural Engineering and Mechanics, An Int＇l Journal 40(1):13~28
Chunxiao Bao / 2009 / Time-varying system identification using a newly improved HHT algorithm / Computers & Structures 87(23-24):1611~1623
Björck, Ȧ. / 1973 / Numerical methods for computing angles between linear subspaces / Mathematics of Computation 27(123):579~579
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