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Research Article | Open Access

Structural stiffness evaluation of suspension bridge based on monitoring data

Wencheng Xu1,2,3( )Shufeng Guo3Shiqian Yao2,3
Southwest Jiaotong University School of Civil Engineering, Chengdu 611756, China
CCCC Engineering Big Data Information Technology (Beijing) Co., Ltd., Beijing 100088, China
CCCC Highway Consultants Co., Ltd., Beijing 100088, China
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Abstract

For long-span suspension bridges, the structural deformation is significantly influenced by the environment. Therefore, evaluating the structural stiffness of suspension bridges is crucial. This paper takes a certain long-span suspension bridge over the sea as an example to discuss different methods for evaluating the structural stiffness of suspension bridges. A three-dimensional finite element model is established, and influential lines at key locations are extracted. The fitting accuracy of vertical deformation and environmental temperature data under different time windows is analyzed based on global positioning system (GPS) deformation monitoring data. Furthermore, the spatial distribution of the maximum and minimum values of bridge deformation caused by vehicle loads is statistically analyzed. The results indicate that the displacement extreme value coefficient at the mid-span of the suspension bridge is relatively large compared to those of other locations. The measured displacement envelope curves are within the theoretical envelope curves, demonstrating good overall stiffness performance of the bridge. The research methodology in this paper accurately evaluates the overall structural stiffness of the suspension bridge, providing strong support for ensuring the safe operation of the bridge.

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Journal of Intelligent Construction
Article number: 9180013
Cite this article:
Xu W, Guo S, Yao S. Structural stiffness evaluation of suspension bridge based on monitoring data. Journal of Intelligent Construction, 2023, 1(2): 9180013. https://doi.org/10.26599/JIC.2023.9180013

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Received: 06 June 2023
Revised: 15 June 2023
Accepted: 17 June 2023
Published: 18 July 2023
© The Author(s) 2023. Published by Tsinghua University Press.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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