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Structural modal parameter identification under ambient excitation has strong engineering value and theoretical significance.
Automated modal parameter identification of civil engineering structures has been analyzed in a previous paper.
Operational modal analysis is the primary tool for modal parameter identification in civil engineering.
In this paper, a modal parameter identification technique with multiple steady sinusoidal excitation is proposed.
This paper proposes a blind source separation (BSS) based modal parameter identification method.
The main modal testing procedures and modal parameter identification methods are reviewed, including both input/output and output-only approaches.
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To quantify and characterise the nonlinear dynamic behaviour of built-up structures, a novel experimental procedure is introduced based on the wavelet transform providing equivalent modal parameters identification.
As an alternative to Fourier techniques based on transfer function fitting, modal parameters identification methods derived from a state space formulation of the dynamic equation have been recently studied and developed.
To verify the ability of this recursive algorithm in spacecraft modal parameters identification, a spacecraft model with rapid rotational appendage, Soil Moisture Active/Passive (SMAP) satellite, is established, and the time-varying modal parameters of the satellite are identified recursively by designing the input and output signals.
Preliminary results of modal-parameter identification and vibration-based damage detection are then presented.
A numerical example is carried out based a spinning finite element (SFE) model, and verified using ANSYS® Ver. 12. Finally, comments and observations are provided on how this subspace realization technique can be extended to the problem of modal-parameter identification using only ambient vibration data.
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