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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2020.8
- 수록면
- 161 - 172 (12page)
이용수
초록· 키워드
오류제보하기
Structural health monitoring (SHM) technology has been developed and applied to ensure the safety of building structures. For the safety assessment through SHM, it is necessary to identify the modal parameters of the structure through the structural responses obtained using various sensors. System identification (SI) techniques for identifying modal parameters of building structures have been developed in various ways. Although various SI techniques have been developed, The study comparing the accuracy and stability of estimation results for modal damping ratio from currently representative SI techniques has not been conducted. However, It is important to assess the accuracy and stability of SI techniques, because the exact solution of the modal damping ratio cannot be known. In this study, The accuracy and stability for modal damping ratio of SI techniques have been identified using enhanced frequency domain decomposition (EFDD), stochastic subspace identification covariance-driven (SSI-COV), SSI data-driven (SSI-DATA), and numerical algorithms for subspace state-space system identification (N4SID) methods, which are currently representative SI methods for high-rise buildings in the field. The accuracy and stability of each method were compared and analyzed through the results of the probability density function of the identified modal damping ratio. As a result, there was a difference in accuracy and stability identified in each method. Furthermore, it was confirmed that each method"s difference also occurred in the computational time required for analysis.
목차
Abstract
1. 서론
2. 2자유도 모델을 통한 모달 감쇠비 식별
3. 2자유도 모델의 모달 감쇠비 정확도 및 안정성 평가
4. 실 건물의 모달 감쇠비 식별 및 해석 시간 비교
5. 결론
REFERENCES
참고문헌 (38)
참고문헌 신청
Brincker, R., Zhang, L., & Andersen, P. (2000, February). Modal identification from ambient responses using frequency domain decomposition. In Proc. of the 18*‘International Modal Analysis Conference (IMAC), San Antonio, Texas.
Brincker, R., Ventura, C., & Andersen, P. (2001, February). Damping estimation by frequency domain decomposition. In Proceedings of the 19th international modal analysis conference (IMAC), 5-8.
Brincker, R., Ventura, C., & Andersen, P. (2003). Why output only modal analysis is a desirable tool for a wide range of practical applications. In Proceedings of IMAC-21: A Conference on Structural Dynamics, February 3-6.
Brincker, R., & Zhang, L. (2009, May). Frequency domain decomposition revisited. In Proc. 3rd Int. Operational Modal Analysis Conf.(IOMAC’09), 615-626.
Cho, S. (2004). Modal Identification Using FDD and SSI for Dynamic Properties of Buildings. Proceeding of Annual Conference of the Architectural Institute of Korea, 24(2), 293-296.
Brincker, R., Ventura, C., & Andersen, P. (2001, February). Damping estimation by frequency domain decomposition. In Proceedings of the 19th international modal analysis conference (IMAC), 5-8.
Brincker, R., Ventura, C., & Andersen, P. (2003). Why output only modal analysis is a desirable tool for a wide range of practical applications. In Proceedings of IMAC-21: A Conference on Structural Dynamics, February 3-6.
Brincker, R., & Zhang, L. (2009, May). Frequency domain decomposition revisited. In Proc. 3rd Int. Operational Modal Analysis Conf.(IOMAC’09), 615-626.
Cho, S. (2004). Modal Identification Using FDD and SSI for Dynamic Properties of Buildings. Proceeding of Annual Conference of the Architectural Institute of Korea, 24(2), 293-296.
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