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 Smart Structures and Systems, An International Journal Smart Structures and Systems, An International Journal Vol.26 No.6
- 발행연도
- 2020.1
- 수록면
- 693 - 701 (9page)
이용수
초록· 키워드
오류제보하기
The conventional Kalman Filter (KF) provides a promising way for structural state estimation. However, the physical parameters of structural systems or models should be available for the estimation. Moreover, it is not applicable when the loadings applied to the structures are unknown. To circumvent the aforementioned limitations, a two-stage KF with unknown input approach is proposed for the simultaneous identification of structural parameters and unknown loadings. In stage 1, a modified observation equation is employed. The structural state vector is estimated by KF on the basis of structural parameters identified at the previous time-step. Then, the unknown input is identified by Least Squares Estimation (LSE). In stage 2, based on the concept of sensitivity matrix, the structural parameters are updated at the current time-step by using the estimated structural states obtained from stage 1. The effectiveness of the proposed approach is numerically validated via a five-story shearing model under random and earthquake excitations. Shaking table tests on a five-story structure are also employed to demonstrate the performance of the proposed approach. It is demonstrated from numerical and experimental results that the proposed approach can be used for the identification of parameters of structure and the external force applied to it with acceptable accuracy.
목차
등록된 정보가 없습니다.
참고문헌 (34)
참고문헌 신청
Eleni N. Chatzi / 2015 / Online correction of drift in structural identification using artificial white noise observations and an unscented Kalman Filter / Smart Structures and Systems, An International Journal 16(2):295~328
R. Cumbo / 2019 / Kalman-based load identification and full-field estimation analysis on industrial test case / Mechanical Systems and Signal Processing 117:771~785
Zhenghao Ding / 2019 / Structural damage identification using improved Jaya algorithm based on sparse regularization and Bayesian inference / Mechanical Systems and Signal Processing 132:211~231
Jia He / 2015 / Optimum control system for earthquake-excited building structures with minimal number of actuators and sensors / Smart Structures and Systems, An International Journal 16(6):981~1002
Jia He / 2019 / Identification of Structural Parameters and Unknown Inputs Based on Revised Observation Equation: Approach and Validation / International Journal of Structural Stability and Dynamics 19(12):1950156
R. Cumbo / 2019 / Kalman-based load identification and full-field estimation analysis on industrial test case / Mechanical Systems and Signal Processing 117:771~785
Zhenghao Ding / 2019 / Structural damage identification using improved Jaya algorithm based on sparse regularization and Bayesian inference / Mechanical Systems and Signal Processing 132:211~231
Jia He / 2015 / Optimum control system for earthquake-excited building structures with minimal number of actuators and sensors / Smart Structures and Systems, An International Journal 16(6):981~1002
Jia He / 2019 / Identification of Structural Parameters and Unknown Inputs Based on Revised Observation Equation: Approach and Validation / International Journal of Structural Stability and Dynamics 19(12):1950156
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