A filtering-based bridge weigh-in-motion system on a continuous multi-girder bridge considering the influence lines of d
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RESEARCH ARTICLE
A filtering-based bridge weigh-in-motion system on a continuous multi-girder bridge considering the influence lines of different lanes Hanli WUa,b, Hua ZHAOa* , Jenny LIUb, Zhentao HUc a
Key Laboratory for Wind and Bridge Engineering of Hunan Province, College of Civil Engineering, Hunan University, Changsha 410082, China b Department of Civil, Architectural and Environmental Engineering, Missouri University of Science and Technology, Rolla, MO 65409, USA c Qingyuan Traffic and Transportation Bureau, Qingyuan 511500, China *
Corresponding author. E-mail: [email protected]
© Higher Education Press 2020
ABSTRACT A real-time vehicle monitoring is crucial for effective bridge maintenance and traffic management because overloaded vehicles can cause damage to bridges, and in some extreme cases, it will directly lead to a bridge failure. Bridge weigh-in-motion (BWIM) system as a high performance and cost-effective technology has been extensively used to monitor vehicle speed and weight on highways. However, the dynamic effect and data noise may have an adverse impact on the bridge responses during and immediately following the vehicles pass the bridge. The fast Fourier transform (FFT) method, which can significantly purify the collected structural responses (dynamic strains) received from sensors or transducers, was used in axle counting, detection, and axle weighing technology in this study. To further improve the accuracy of the BWIM system, the field-calibrated influence lines (ILs) of a continuous multi-girder bridge were regarded as a reference to identify the vehicle weight based on the modified Moses algorithm and the least squares method. In situ experimental results indicated that the signals treated with FFT filter were far better than the original ones, the efficiency and the accuracy of axle detection were significantly improved by introducing the FFT method to the BWIM system. Moreover, the lateral load distribution effect on bridges should be considered by using the calculated average ILs of the specific lane individually for vehicle weight calculation of this lane. KEYWORDS
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bridge weigh-in-motion, continuous bridge, fast Fourier transform, influence line, axle weight calculation
Introduction
Overloaded vehicles have a severe adverse impact on the service life of roads and bridges, which has raised extensive concerns worldwide [1–4]. As shown in previous studies, more often, the proportion of overloaded vehicles ranged from 10% to 30%. Nevertheless, in certain countries, the percentage of overloaded trucks reached an extremely high level of 80%, which would lead to more frequent repairs and increase maintenance costs [2]. Given those concerns, with the increasing demand for transportation, the efficient and economical management of transport Article history: Received Feb 23, 2019; Accepted Nov 11, 2019
networks become increasingly important [1,3]. Thus, a decision based on accurate vehicle information in the traffic flow is of vital importance for the protection and rehabilitation of the modern
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