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<p>Modal Parameter Estimation of Tall Structures using HHT with Improved EMD</p>

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Title Statement <p>Modal Parameter Estimation of Tall Structures using HHT with Improved EMD</p>
 
Added Entry - Uncontrolled Name Lakshmi, K ; CSIR-Structural Engineering Research Centre, CSIR Campus, Taramani, Chennai 600 113, Tamilnadu, India
Reddy, Varun Kasi; Dept of Civil and Environmental Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, United States
Rama Mohan Rao, A ; CSIR-Structural Engineering Research Centre, CSIR Campus, Taramani, Chennai 600 113, Tamilnadu, India
NPMASS, ADA, Bangalore.
 
Uncontrolled Index Term GNTV tower, Modal identification, Non-stationary ambient response, Time-frequency analysis
 
Summary, etc. <p class="Abstract">In this paper, identification of the natural frequencies, damping ratios and mode shapes of the structures using the measured ambient responses are proposed using time-frequency analysis. The impulse responses are obtained from the measured acceleration time history data through cross-correlations. Empirical Mode Decomposition (EMD) is employed on these generated impulse responses to obtain Intrinsic Mode Functions (IMFs). Finally, modal identification of the structure is carried out by performing Hilbert Transform (HT) on these generated IMFs. To avoid the problem of mode mixing during EMD of the signal, an improved version with intermittency criteria along with treatment to end effects during sifting is proposed in this paper. Experimentally measured data of Guangzhou New TV (GNTV) Tower is used to test and verify the proposed algorithm. The studies indicate that the proposed HHT based algorithm can be applied quite effectively for the modal identification of practical engineering structures.</p>
 
Publication, Distribution, Etc. Journal of Scientific and Industrial Research (JSIR)
2022-07-25 10:12:01
 
Electronic Location and Access application/pdf
http://op.niscair.res.in/index.php/JSIR/article/view/40374
 
Data Source Entry Journal of Scientific and Industrial Research (JSIR); ##issue.vol## 81, ##issue.no## 06 (2022): Journal of Scientific and Industrial Research
 
Language Note en
 
Nonspecific Relationship Entry http://op.niscair.res.in/index.php/JSIR/article/download/40374/465525587