Structural Engineering and Mechanics

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Flexural analysis of transverse joints of prefabricated T-girder bridge superstructure

  • Kye, Seungkyung (Applied Science Research Institute, Korean Advanced Institute for Science and Technology) ;
  • Jung, Hyung-Jo (Department of Civil and Environmental Engineering, Korean Advanced Institute for Science and Technology) ;
  • Park, Sun-Kyu (School of Civil, Architectural and Environmental Engineering, Sungkyunkwan University)
  • Received : 2020.06.01
  • Accepted : 2020.08.26
  • Published : 2021.01.10
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Abstract

Rapid construction of prefabricated bridges requires minimizing the field work of precast members and ensuring structural stability and constructability. In this study, we conducted experimental and analytical investigations of transverse joints of prefabricated T-girder bridge superstructures to verify the flexural performance and serviceability. In addition, we conducted parametric studies to identify the joint parameters. The results showed that both the segmented and continuous specimens satisfied the ultimate flexural strength criterion, and the segmented specimen exhibited unified behavior, with the flexural strength corresponding to that of the continuous specimen. The segmented specimens exhibited elastic behavior under service load conditions, and the maximum crack width satisfied the acceptance criteria. The reliability of the finite element model of the joint was verified, and parametric analysis of the convexity of the joint section and the compressive strength of the filler concrete showed that the minimum deflection and crack width occurred at a specific angle. As the strength of the filler concrete increased, the deflection and crack width decreased. However, we confirmed that the reduction in the crack width was hardly observed above a specific strength. Therefore, a design suitable for prefabricated bridges and accelerated construction can be achieved by improving the joint specifications based on the required criteria.

Keywords

Acknowledgement

This work was financially supported by the Korea Ministry of Land, Infrastructure and Transport (MOLIT) as 'Innovative Talent Education Program for Smart City', and the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. 2017R1A5A1014883).

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