In Situ Experimental Study of FFT-Based Bridge Weigh-In-Motion System on a Continuous Box Girder Bridge


The safety of roads, bridges and other transport infrastructures subjected to heavy traffic and overloaded vehicles has been widely concerned throughout the world. Accurate vehicle information collection is of vital importance to the road service and structural health monitoring. The newly developed Bridge Weigh-in-motion (BWIM) system is an efficient and economical technology to obtain vehicle information. BWIM system uses an instrumented bridge as a large scale to accurately identify vehicle information such as vehicle speed, axle numbers, axle spacing, and vehicle weights without interrupting traffic. In this study, the field tests were conducted on a continuous box girder bridge in Qingyuan, Guangdong, China. The fast Fourier transform (FFT) method, which can significantly purify the original data from transducers, has been employed to improve the accuracy of axle detection, weighing, and counting. The averaged influence lines from different lanes in the field tests were selected for axle weight identification, and the accuracy of identified axle weights was compared and evaluated.

Meeting Name

9th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII-9 (2019: Aug. 4-7, St. Louis, MO)


Civil, Architectural and Environmental Engineering


National Natural Science Foundation of China, Grant 2010-02-013

Keywords and Phrases

Bridge weigh-in-motion; Continuous bridge; Fast Fourier transform; Influence line; Moses algorithm, axle weight identification

International Standard Book Number (ISBN)


Document Type

Article - Conference proceedings

Document Version


File Type




Publication Date

07 Aug 2019

This document is currently not available here.