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Load rating of box girder bridges based on rapid testing using moving loads

  • Hong Zhou (School of Civil Engineering, Dalian University of Technology) ;
  • Dong-Hui Yang (School of Civil Engineering, Dalian University of Technology) ;
  • Ting-Hua Yi (School of Civil Engineering, Dalian University of Technology) ;
  • Hong-Nan Li (School of Civil Engineering, Dalian University of Technology)
  • Received : 2023.02.20
  • Accepted : 2023.11.16
  • Published : 2023.12.25
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Abstract

Box girder bridges are now widely used in bridge construction, and it is necessary to perform load rating regularly to evaluate the load capacity of box girder bridges. Load testing is a common measure for load rating. However, the bridge must be loaded by many trucks under different loading conditions, which is time-consuming and laborious. To solve this problem, this paper proposes a load rating method for box girder bridges based on rapid moving loads testing. The method includes three steps. First, the quasi-influence factors of the bridge are obtained by crossing the bridge with rapidly moving loads, and the structural modal parameters are simultaneously obtained from the dynamic data to supplement. Second, an objective function is constructed, consisting of the quasi-influence factors at several measurement points and structural modal parameters. The finite element model for load rating is then updated based on the Rosenbrock method. Third, on this basis, a load rating method is proposed using the updated model. The load rating method proposed in this paper can considerably reduce the time duration of traditional static load testing and effectively utilize the dynamic and static properties of box girder bridges to obtain an accurate finite element model. The load capacity obtained based on the updated model can avoid the inconsistency of the evaluation results for the different structural members using the adjustment factors specified in codes.

Keywords

Acknowledgement

This research work was jointly supported by the National Natural Science Foundation of China (Grant Nos. 52078102, 52322807 and 51978128), the Fundamental Research Funds for the Central Universities (Grant Nos. DUT21JC38 and DUT22ZD213), and the Key Laboratory of Performance Evolution and Control for Engineering Structures in Tongji University, Ministry of Education (Grant No. 2022KF-1).

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