Steel and Composite Structures

  • 제44권4호
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  • Pages.473-488
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  • 2022
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  • 1229-9367(pISSN)
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  • 1598-6233(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Analytical evaluation of the influence of vertical bridge deformation on HSR longitudinal continuous track geometry

  • Lai, Zhipeng (School of Civil Engineering, Central South University) ;
  • Jiang, Lizhong (School of Civil Engineering, Central South University) ;
  • Liu, Xiang (School of Civil Engineering, Central South University) ;
  • Zhang, Yuntai (School of Civil Engineering, Central South University) ;
  • Zhou, Tuo (School of Civil Engineering, Central South University)
  • 투고 : 2021.04.23
  • 심사 : 2022.08.02
  • 발행 : 2022.08.25
⟨ 이전 논문 다음 논문 ⟩

초록

A high-speed railway (HSR) bridge may undergo long-term deformation due to the degradation of material stiffness, or foundation settlement during its service cycle. In this study, an analytical model is set up to evaluate the influence of this long-term vertical bridge deformation on the track geometry. By analyzing the structural characteristics of the HSR track-bridge system, the energy variational principle is applied to build the energy functionals for major components of the track-bridge system. By further taking into account the interlayer's force balancing requirements, the mapping relationship between the deformation of the track and the one of the bridge is established. In order to consider the different behaviors of the interlayers in compression and tension, an iterative method is introduced to update the mapping relationship. As for the validation of the proposed mapping model, a finite element model is created to compare the numerical results with the analytical results, which show a good agreement. Thereafter, the effects of the interlayer's different properties of tension and compression on the mapping deformations are further evaluated and discussed.

키워드

과제정보

The research described in this paper was financially supported by the Natural Science Foundation of Hunan Province, China (2022JJ40587), the science and technology innovation Program of Hunan Province (2021RC2011), the China Postdoctoral Science Foundation (2021M703648), and the National Natural Science Foundation of China (U193420118). Any opinions, findings, and conclusions in this study are those of the authors.

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