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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 국제구조공학회 Smart Structures and Systems, An International Journal Smart Structures and Systems, An International Journal Vol.19 No.3
- 발행연도
- 2017.1
- 수록면
- 259 - 268 (10page)
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초록· 키워드
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System identification of structures is one of the important aspects of structural health monitoring. The accuracy and efficiency of identification results is affected severely by measurement noises, especially when the structure system is large, such as bridge structures, and when online system identification is required. In this paper, the least square estimation (LSE) method is used combined with the substructure approach for identifying structural parameters of a cable-stay bridge with large degree of freedoms online. Numerical analysis is carried out by first dividing the bridge structure into smaller substructures and then estimates the parameters of each substructure online using LSE method. Simulation results demonstrate that the proposed approach is capable of identifying structural parameters, however, the accuracy and efficiency of identification results depend highly on the noise sensitivities of loading region, loading pattern as well as element size.
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참고문헌 (20)
참고문헌 신청
Bernal, D. / 2004 / Special section : Phase I of the IASC-ASCE structural health monitoring benchmark / J. Eng. Mech., ASCE 130(1):1~127
Caravani, P. / 1977 / Recursive least-squares time domain identification of structural parameters / J. Appl. Mech 44(1):135~140
Dong, S. / 2010 / Extreme load identification and early warning research of cable-stayed bridge based on monitoring data
Hoshiya, M. / 1984 / Structural identification by extended Kalman Filter / J. Eng. Mech., ASCE 110(12):1757~1771
Hongwei Huang / 2015 / Parametric identification of a cable-stayed bridge using least square estimation with substructure approach / Smart Structures and Systems, An International Journal 15(2):425~445
Caravani, P. / 1977 / Recursive least-squares time domain identification of structural parameters / J. Appl. Mech 44(1):135~140
Dong, S. / 2010 / Extreme load identification and early warning research of cable-stayed bridge based on monitoring data
Hoshiya, M. / 1984 / Structural identification by extended Kalman Filter / J. Eng. Mech., ASCE 110(12):1757~1771
Hongwei Huang / 2015 / Parametric identification of a cable-stayed bridge using least square estimation with substructure approach / Smart Structures and Systems, An International Journal 15(2):425~445
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