Identification of modal parameters from nonstationary ambient vibration data using the channel-expansion technique

Dar-Yun Chiang, Chang Sheng Lin

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

The identification of modal parameters from the response data only is studied for structural systems under nonstationary ambient vibration. In a previous paper by the authors, the modal parameters of a system were identified using the correlation method in conjunction with the curve-fitting technique. This was done by working within the assumption that the ambient excitation is a nonstationary white noise in the form of a product model. In the present paper, the Ibrahim time-domain method (ITD) is extended for modal-parameter identification from the nonstationary ambient response data without any additional treatment of converting the original data into the form of free vibration. The ambient responses corresponding to various nonstationary inputs can be approximately expressed as a sum of exponential functions. In effect, the ITD method can be used in conjunction with the channel-expansion technique to identify the major modes of a structural system. To distinguish the structural modes from the non-structural modes, the concept of mode -shape coherence and confidence factor is employed. Numerical simulations, including one example of using the practical excitation data, confirm the validity and robustness of the proposed method for identification of modal parameters from the nonstationary ambient response.

Original languageEnglish
Pages (from-to)1307-1315
Number of pages9
JournalJournal of Mechanical Science and Technology
Volume25
Issue number5
DOIs
Publication statusPublished - 2011 May 1

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Laser modes
Correlation methods
Exponential functions
Curve fitting
White noise
Identification (control systems)
Computer simulation

All Science Journal Classification (ASJC) codes

  • Mechanics of Materials
  • Mechanical Engineering

Cite this

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Identification of modal parameters from nonstationary ambient vibration data using the channel-expansion technique. / Chiang, Dar-Yun; Lin, Chang Sheng.

In: Journal of Mechanical Science and Technology, Vol. 25, No. 5, 01.05.2011, p. 1307-1315.

Research output: Contribution to journalArticle

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