Skip to main content

Research Repository

Advanced Search

Analysis of the dynamic response of a long span bridge using GPS/accelerometer/anemometer under typhoon loading

Han, Houzeng; Wang, Jian; Meng, Xiaolin; Liu, Hua

Analysis of the dynamic response of a long span bridge using GPS/accelerometer/anemometer under typhoon loading Thumbnail


Houzeng Han

Jian Wang

Xiaolin Meng

Hua Liu


Large flexible engineering structures, such as long span bridges or tall buildings, are susceptible to quasistatic and dynamic deformations caused by different loadings, thus accurate displacement measurements are desirable to assess the integrity and reliability of the structure. In this study, an integrated system that includes Global Positioning System (GPS), accelerometer and anemometer was developed to obtain the responses of a long span bridge to the extreme wind loadings. Spectral analysis based on the Fast Fourier Transform (FFT) algorithm was first carried out to detect the dominant frequencies of the middle pylon. Then the noisy GPS displacement measurements and accelerometer data are de-noised using the Vondrak filter, and the low frequency disturbance was separated from GPS displacement time series. A least-squares based displacement reconstruction scheme using noise-mitigated accelerations was employed, and the Tikhonov regularization scheme with optimal selected regularization factor was used to alleviate the ill-posedness. At last, an adaptive recursive least squares (RLS) filter was adopted to separate the slow-varying movements, and the total displacement with enhanced measurement accuracy was obtained from the combined quasi-static and high-frequency dynamic displacements. A field monitoring data set collected on the Erqi Yangtze River Bridge, a three-tower cable-stayed bridge located in Wuhan, China, was used to validate the effectiveness of the proposed integration processing scheme. The GPS/accelerometer/anemometer installed on the center supporting tower was used to characterize the interaction between the responses and the ambient wind loadings. The results demonstrate the proposed technique can significantly improve the measurement accuracy of pylon displacement under strong winds. The deformation accuracy with the amplitude of several millimeters can be successfully detected,and the spectrum of the pylon response obtained from both GPS data and accelerometer data reveals the identified first dominant frequency of the middle pylon is 0.172 Hz.

Journal Article Type Article
Acceptance Date Apr 18, 2015
Online Publication Date May 26, 2016
Publication Date Sep 1, 2016
Deposit Date Jul 25, 2016
Publicly Available Date Jul 25, 2016
Journal Engineering Structures
Print ISSN 0141-0296
Electronic ISSN 0141-0296
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 122
Issue 2016
Keywords GPS; Accelerometer; Anemometer; Wind loadings; Bridge monitoring; Displacement reconstruction; Vondrak filter; Recursive least squares (RLS) filter
Public URL
Publisher URL


Downloadable Citations