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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2022.11
- 수록면
- 297 - 306 (10page)
이용수
초록· 키워드
오류제보하기
For the visualization of dominant vibration pattern or the separation of modal response from measurements, the mode shape is very useful parameter. In this research, a modal-based Kalman filter defined in the modal space was introduced to decompose modes from one sensor response and develop a process to identify the mode shape using the correlation between the separated modes and the measured responses. It was observed that the updated modal responses by the mode shape was more precise than the originally extracted modes by modal-based Kalman filter. Furthermore, it was shown that the process can be extended to estimate the mode shape of non-classically damped structure in the state space. To verify the mode shape estimation framework proposed in this study, numerical simulations and application for the site-situ measurements were carried out. From the simulation results, it was found that the proposed modal identification technique had noise immunity; it can be applied to estimate the state space mode shape of non-classically damped structure and utilized on a system with very closely distributed modes such as a structure-tuned mass damper system.
목차
Abstract
1. 서론
2. 모드공간 칼만필터
3. 모달특성 추정법 검증
4. 결론
REFERENCES
참고문헌 (21)
참고문헌 신청
Antoni, J., & Chauhan, S. (2013). A study and extension of second-order blind source separation to operational modal analysis, Journal of Sound and Vibration, 332, 1079-1106.
Belouchrani, A., Abed-Meraim, K., & Cardoso, J.-F. (1997). A Blind Source Separation Technique Using Second-Order Statistics, Transaction on Signal Processing, IEEE, 45(2), 434-444.
Brincker, R., Zhang, L., & Andersen, P. (2000). Modal Identification of Output-Only Systems using Frequency Domain Decomposition. In J. A. Güemes (Ed.), Proceedings of the European COST F3 Conference on System Identification & Structural Health Monitoring, 6-9 June, 2000, Universidad Politécnica de Madrid, Spain. 273-282.
Chauhan, S. (2013). Using the Unified Matrix Polynomial Approach (UMPA) for the development of the Stochastic Subspace Identification (SSI) algorithm, Journal of Vibration and Control, 19(13), 1950-1961.
Ghahari, S.F., Abazarsa, F, & Taciroglu, E. (2017). Blind modal identification of non-classically damped structures under non-stationary excitations, Structural Control and Health Monitoring, 24:e1925.
Belouchrani, A., Abed-Meraim, K., & Cardoso, J.-F. (1997). A Blind Source Separation Technique Using Second-Order Statistics, Transaction on Signal Processing, IEEE, 45(2), 434-444.
Brincker, R., Zhang, L., & Andersen, P. (2000). Modal Identification of Output-Only Systems using Frequency Domain Decomposition. In J. A. Güemes (Ed.), Proceedings of the European COST F3 Conference on System Identification & Structural Health Monitoring, 6-9 June, 2000, Universidad Politécnica de Madrid, Spain. 273-282.
Chauhan, S. (2013). Using the Unified Matrix Polynomial Approach (UMPA) for the development of the Stochastic Subspace Identification (SSI) algorithm, Journal of Vibration and Control, 19(13), 1950-1961.
Ghahari, S.F., Abazarsa, F, & Taciroglu, E. (2017). Blind modal identification of non-classically damped structures under non-stationary excitations, Structural Control and Health Monitoring, 24:e1925.
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