For separable problems, CR from the range (0, 0.2) is the best, while for multi-modal, parameter dependent problems, CR in the range (0.9,1) is suitable [45].
This paper investigates the problem of modal parameter estimation of time-varying structures under unknown excitation.
The TARMA 4, 5 p=3model is shown to achieve superior spectral and modal parameter accuracy, while avoiding the problem of estimated false modal modes of its TAR(12 p=3counterpart.
Therefore, to overcome these problems, a new combined method for modal parameter identification is proposed in this work.
This work shows that under certain conditions, the smooth orthogonal decomposition eigenvalue problem formulated from white-noise induced response data can be tied to the unforced structural eigenvalue problem, and thus can be used for modal parameter estimation.
Operational modal analysis is the primary tool for modal parameter identification in civil engineering.
The main modal testing procedures and modal parameter identification methods are reviewed, including both input/output and output-only approaches.
To solve this problem, continuous wavelet transform (CWT) was proposed in [12] to exploit the relationship between low-frequency oscillation features, and then the Morlet-based CWT of ringdown data was proposed to detect modal parameter changes and several guidelines were designed for selecting the center frequency, bandwidth parameters, scaling factor and the translation factor of CWT.
By applying asymptotic method to complex eigenvalue problem to obtain modal parameters, expressions of modal loss factor are derived approximately for the three-dimensional structures in coupling between elastic components, viscoelastic components, porous components and environmental gas.
In this paper the problem of using measured modal parameters to detect and locate damage in plate-like structures is investigated.
