Damage identification of Chi River bridge based on vehicle excitation and WPEVCR

Zhuoxi Liang , Zhihua Xiong , Tuotuo Cong , Jingxuan Peng , Gengwang Yan

Advances in Bridge Engineering ›› 2023, Vol. 4 ›› Issue (1)

PDF
Advances in Bridge Engineering ›› 2023, Vol. 4 ›› Issue (1) DOI: 10.1186/s43251-023-00098-x
Original Innovation

Damage identification of Chi River bridge based on vehicle excitation and WPEVCR

Author information +
History +
PDF

Abstract

In order to identify damage of Chi River bridge’s superstructure, a damage identification indicator is implemented in the field test, which involves the wavelet packet energy analysis with the feature of dynamic response signals caused by vehicle excitation. On the basis of the field test, a series of numeric models with varied service conditions were developed. The wavelet packet analysis method was utilized to decompose the bridge’s acceleration signals at both healthy and damaged status, and the values of Wavelet Packet Energy Variance Change Rate (WPEVCR) were obtained. Then, according to the acceleration signal data measured from the field test, the damage assessment of the condition of Chi River bridge was performed by means of the obtained WPEVCR. The results demonstrate the capability of WPEVCR in localizing and quantifying the bridge damage status. Moreover, another damage indicator based on the Hilbert-Huang Transform (HHT) has been also employed to verify the assessment of WPEVCR, and both damage identification approaches indicate that the Chi River bridge is in a healthy service condition.

Cite this article

Download citation ▾
Zhuoxi Liang, Zhihua Xiong, Tuotuo Cong, Jingxuan Peng, Gengwang Yan. Damage identification of Chi River bridge based on vehicle excitation and WPEVCR. Advances in Bridge Engineering, 2023, 4(1): DOI:10.1186/s43251-023-00098-x

登录浏览全文

4963

注册一个新账户 忘记密码

References

Funding

Science and Technology Project of Department of Transport of Shaanxi Province(22-23K)

AI Summary AI Mindmap
PDF

166

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/