Steel and Composite Structures

  • 제52권4호
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  • Pages.435-450
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  • 2024
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  • 1229-9367(pISSN)
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  • 1598-6233(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

Mapping thermal deformations of long-span arch bridge to CRTS Type I double-block ballastless tracks in high-speed railways

  • Hongye Gou (Department of Bridge Engineering, School of Civil Engineering, Southwest Jiaotong University) ;
  • Hairong Ren (Department of Bridge Engineering, School of Civil Engineering, Southwest Jiaotong University) ;
  • Fei Hu (Department of Bridge Engineering, School of Civil Engineering, Southwest Jiaotong University) ;
  • Qianhui Pu (Department of Bridge Engineering, School of Civil Engineering, Southwest Jiaotong University) ;
  • Xuguang Wen (International Joint Key Laboratory of Guangxi China-ASEAN Comprehensive Transportation, Nanning College) ;
  • Yi Bao (Department of Civil, Environmental and Ocean Engineering, Stevens Institute of Technology)
  • 투고 : 2023.11.12
  • 심사 : 2024.08.12
  • 발행 : 2024.08.25
⟨ 이전 논문 다음 논문 ⟩

초록

The geometry change of railway tracks significantly influences the safety and ride comfort of high-speed trains. This paper presents an analytical method to map the thermal deformations of a long-span arch bridge to the geometry of CRTS Type I double-block ballastless tracks for high-speed railways. A mechanical model of the bridge-track coupled system was developed to derive analytical formulae of the deformations of the track. The analytical formulae explicitly consider the mechanical properties of the bridge-track coupled system and the temperature profile. A three-dimensional finite element model was established to evaluate the predictions obtained from the analytical formulae. The results show that the analytical formulae provide accurate predictions of the track deformations caused by the thermal deformations of bridges. This research will promote the design, evaluation, and operation of high-speed railway bridges for improved safety and ride comfort in engineering practices.

키워드

과제정보

The research was funded by the National Natural Science Foundation of China (Grant No. 52172374), the Sichuan Outstanding Youth Science and Technology Talent Project (Grant No. 2022JDJQ0016), the Project of Beijing-Shanghai High Speed Railway Company Limited (Grant No.2024-11), and the Guangxi Scientific and Technology Plan Project of China (Grant No. AA21077011).

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