A study on Gabor frame for estimating instantaneous dynamic characteristics of structures

被引:0
|
作者
Su, Wei-Chih [1 ]
Huang, Chiung-Shiann [2 ]
机构
[1] Natl Appl Res Labs, Natl Ctr High Performance Comp, Hsinchu 30076, Taiwan
[2] Natl Chiao Tung Univ, Dept Civil Engn, Hsinchu 30076, Taiwan
关键词
time varying; Gabor transform; instantaneous dynamic characteristics; WAVELET NEURAL-NETWORK; SEISMIC RESPONSE DATA; AMBIENT VIBRATION; MODAL PARAMETERS; SYSTEM-IDENTIFICATION; ALGORITHM; MODEL;
D O I
10.21595/jve.2016.17894
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
A structure under damage normally exhibits nonlinear dynamic behaviors and time-dependent stiffness and damping. By estimating instantaneous dynamic characteristics of a structures is generally very useful when assessing structural damage in real application. This study presents a novel and effective approach that accurately estimating instantaneous dynamic characteristic of a structure using time-varying autoregressive exogenous (TVARX) model on Gabor frame. To evaluate the time-varying coefficient matrices of a time-series model, the proposed procedure applies Gaussian-based weighted function and Fourier transform on time series model, then the Gabor-transform-based time series formula could be obtained. The dynamic characteristics of a structure are determined from the coefficient matrices. Numerical analyses demonstrate that the proposed approach is superior to traditional time-frequency analysis in accurately estimating instantaneous dynamic characteristics of a structure. Finally, the proposed approach is applied to process measured data for a steel frame specimen subjected to a series of base excitations in shaking table tests.
引用
收藏
页码:447 / 457
页数:11
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