Modal parameter identification in civil structures via Hilbert transform ensemble with improved empirical wavelet transform

被引：12

作者：

Qin, Shiqiang ^{[1
]}

Tang, Jian ^{[1
]}

Feng, Jiacheng ^{[1
]}

Zhou, Yunlai ^{[2
]}

Yang, Fei ^{[3
]}

Wahab, Magd Abdel ^{[4
]}

机构：

[1] Wuhan Univ Technol, Sch Civil Engn & Architecture, Hubei, Peoples R China

[2] Xi An Jiao Tong Univ, Sch Aerosp Engn, State Key Lab Strength & Vibrat Mech Struct, Xian 710049, Peoples R China

[3] China Acad Railway Sci Corp Ltd, Infrastruct Inspect Res Inst, Beijing, Peoples R China

[4] Univ Ghent, Fac Engn & Architecture, Ghent, Belgium

来源：

JOURNAL OF VIBRATION AND CONTROL | 2024年 / 30卷 / 7-8期

关键词：

Operational modal analysis; empirical wavelet transform; spectrum segmentation; synchroextracting transform; Hilbert transform;

D O I：

10.1177/10775463231166428

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

To overcome the inaccurate frequency band division in empirical wavelet transform (EWT) induced by high noise and modulation edge band, this study proposes an improved EWT (IEWT) and applies it to operational modal analysis (OMA) in civil structures. The IEWT segments the frequency band using spectral trend determined with removing the high-frequency components of the Fourier spectrum. The synchroextracting transform is employed to denoise the frequency components obtained from IEWT combined with the random decrement technique and Hilbert transform to identify modal parameters. The effectiveness of IEWT and the proposed modal analysis method is comprehensively verified by a full-scale cable-stayed footbridge. The results demonstrate that the proposed IEWT, random decrement technique, and Hilbert transform can accurately identify the modal parameters from multi-setup ambient vibration measurements.

引用

页码：1621 / 1634

页数：14

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