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Prediction of the static load test results of bridges based on the dynamic load test and the Kriging model

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Abstract

Faced with the structural performance evaluation of a large number of bridges, bridge management and maintenance departments have urgently sought a quick method for evaluating bridge performance. The load test is currently a direct and effective method for assessing the conditions of bridge structures. However, this method is costly, time-consuming, inefficient, requires closed traffic, and can cause damage to the structure itself. In response to this problem, this paper proposes a new low-cost method combined with the Kriging proxy model for fast and accurate prediction of bridge static behavior based on fast bridge dynamic load test data. To verify the correctness and feasibility of the method in this study, a three-span continuous reinforced concrete oblique-leg rigid frame bridge is considered as the engineering application test object. The research results reveal that the finite element model of the bridge can be updated based on the dynamic load test data of the bridge combined with the Kriging proxy model, and the static load test results can be accurately predicted. And the predicted results are consistent with the measured results in the field. The method proposed in this study is not associated with the negative impacts of the bridge static load test and uses more efficient, fast, and accurate means to comprehensively analyze and predict the static behavior of a large number of existing bridges. It could inform approaches for rapid evaluation of the structural performance of existing bridges and the decision-making of reinforcement and maintenance.

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Acknowledgements

The authors gratefully acknowledge the financial support provided by the Science Foundation of China Postdoctor

Funding

This study was supported by the Science Foundation of China Postdoctor (Grant No. 2016M600352), the Science and Technology Agency of Zhejiang Province (Grant No. 2015C33222, LGF19E080012), the Science and Technology Project of Zhejiang Provincial Department of Transportation (Grant No. 2019H14 and 2018010), Jiaxing Science and Technology Bureau of China under Grant (2021AY10043).

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Authors and Affiliations

  1. College of Civil Engineering, Zhejiang University of Technology, Hangzhou, 310014, Zhejiang Province, China

    Pengzhen Lu

  2. College of Civil Engineering, Zhejiang University of Technology, Hangzhou, 310014, Zhejiang Province, China

    Dengguo Li & Yangrui Chen

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  1. Pengzhen Lu
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  2. Dengguo Li
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Correspondence to Dengguo Li.

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Lu, P., Li, D. & Chen, Y. Prediction of the static load test results of bridges based on the dynamic load test and the Kriging model. Artif Intell Rev 56, 7613–7632 (2023). https://doi.org/10.1007/s10462-022-10369-0

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