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Alignment control for a long span urban rail-transit cable-stayed bridge considering dynamic train loads

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Abstract

In this paper, bridge alignment control with considering dynamic train loads was experimentally and theoretically investigated. Analytical process of bridge dynamics and the self-adaptive Kalman filter bridge alignment control method with considering the dynamic train loads were briefly introduced. The static measurement, the dynamic test, the field alignment measurement as well as the finite element analysis (FEA) of the second longest rail transit cable-stayed bridge in the world were carried out. Based on the results, the train dynamic load effect on the bridge alignment was obtained quantitatively. Subsequently, alignment control of the rail transit bridge with considering this effect using a self-adaptive Kalman filter method was analyzed. The results show that: (a) the dynamic train loads have effects on alignment control of the bridge and therefore cannot be neglected; (b) the self-adaptive Kalman filter method is applicable and reliable for alignment control of bridges during construction. The analytical method and whole process contribute to develop a related specification and further engineering applications.

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Authors and Affiliations

  1. State Key Laboratory Breeding Base of Mountain Bridge and Tunnel Engineering and Engineering Research Center of Bridge Structure and Material in the Mountainous Area, Chongqing Jiaotong University, Chongqing, 400074, China

    ZengShun Chen, JianTing Zhou & Xu Wang

  2. Department of Civil and Environmental Engineering, Hong Kong University of Science and Technology, Hong Kong, China

    ZengShun Chen, Kim Tim Tse & Gang Hu

  3. Shenzhen Bridge Design & Research Institute Co., Ltd., Shenzhen, 518052, China

    Yong Li

Authors
  1. ZengShun Chen
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  2. JianTing Zhou
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  3. Kim Tim Tse
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  4. Gang Hu
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  5. Yong Li
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  6. Xu Wang
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Correspondence to Yong Li.

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Chen, Z., Zhou, J., Tse, K.T. et al. Alignment control for a long span urban rail-transit cable-stayed bridge considering dynamic train loads. Sci. China Technol. Sci. 59, 1759–1770 (2016). https://doi.org/10.1007/s11431-016-0330-1

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  • DOI: https://doi.org/10.1007/s11431-016-0330-1

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