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논문 기본 정보

자료유형
학술저널
저자정보
Hung, Chen-Far (Department of Engineering Science and Ocean Engineering, National Taiwan University) Ko, Wen-Jiunn (Department of Engineering Science and Ocean Engineering, National Taiwan University) Peng, Yen-Tun (Department of Engineering Science and Ocean Engineering, National Taiwan University)
저널정보
테크노프레스 Structural engineering and mechanics : An international journal Structural engineering and mechanics : An international journal 제15권 제3호
발행연도
2003.1
수록면
299 - 314 (16page)

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This investigation presents an efficient method for identifying modal characteristics from the measured displacement, velocity and acceleration signals of multiple channels on structural systems. A Vector Backward Auto-Regressive model (VBAR) that describes the relationship between the output information in different time steps is used to establish a backward state equation. Generally, the accuracy of the identified dynamic characteristics can be improved by increasing the order of the Auto-Regressive model (AR) in cases of measurement of data under noisy circumstances. However, a higher-order AR model also induces more numerical modes, only some of which are the system modes. The proposed VBAR model provides a clear characteristic boundary to separate the system modes from the spurious modes. A numerical example of a lumped-mass model with three DOFs was established to verify the applicability and effectiveness of the proposed method. Finally, an offshore platform model was experimentally employed as an application case to confirm the proposed VBAR method can be applied to real-world structures.

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