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author:

Ma, S. (Ma, S..) [1] | Jiang, S. (Jiang, S..) [2] | Chen, Z. (Chen, Z..) [3]

Indexed by:

Scopus PKU CSCD

Abstract:

In vibration-based structural system identification (SI) of a civil structure, the commonly used SI method, such as, the one based on Newmark-β algorithm usually needs the known excitation. In fact, it is difficult to measure the actual excitation and full output responses of a structure system. Here, a modified Newmark-β algorithm was proposed through introducing polynomial fitting into Newmark-β algorithm to effectively solve the drift phenomenon brought by the error of SI. Furthermore, combining the modified Newmark-β algorithm with the improved multi-particle swarm co-evolution optimization (IMPSCO), an identification approach of SI and excitation adopting responses of parts of a structure system was presented. Finally, numerical simulation for a seven-story steel frame and its model tests were conducted to verify the effectiveness and feasibility of the proposed method. The effects of noise and completeness of structural response were also discussed. The results showed that the proposed method can be used to effectively identify a structural system and its excitation only adopting responses of parts of the structure system; it has stronger noise tolerance and robustness. © 2017, Editorial Office of Journal of Vibration and Shock. All right reserved.

Keyword:

Modified Newmark-β algorithm; System identification; Unknown excitation

Community:

  • [ 1 ] [Ma, S.]College of Civil Engineering, Fuzhou University, Fuzhou, 350108, China
  • [ 2 ] [Jiang, S.]College of Civil Engineering, Fuzhou University, Fuzhou, 350108, China
  • [ 3 ] [Chen, Z.]College of Civil Engineering, Fuzhou University, Fuzhou, 350108, China

Reprint 's Address:

  • [Jiang, S.]College of Civil Engineering, Fuzhou UniversityChina

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Source :

Journal of Vibration and Shock

ISSN: 1000-3835

Year: 2017

Issue: 15

Volume: 36

Page: 22-28

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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