Investigation on vibration behavior of a high-speed railway bridge based on monitoring data

Qingxin Zhu, Hao Wang, Billie F. Spencer

Research output: Contribution to journalArticlepeer-review


Field monitoring techniques offer an attractive approach for understanding bridge behavior under in-service loads. However, the investigations on bridge behavior under high-speed train load using field monitoring data are limited. The focus of this study is to explore the structural behavior of an in-service long-span steel truss arch bridge based on field monitoring data. First, the natural frequencies of the structure, as well as the train driving frequencies, are extracted. Then, the train-induced bearing displacement and structural strain are explored to identify the effects of train loads and bearings. Subsequently, a sensitivity analysis is performed for the impact factor of strain responses with respect to the train speed, train weight, and temperature to identify the fundamental issues affecting these responses. Additionally, a similar sensitivity analysis is conducted for the peak acceleration. The results indicate that the friction force in bearings provides residual deformations when two consecutive trains are in opposite directions. In addition, the impact factor and peak acceleration are primarily affected by train speed, particularly near train speeds that result in the resonance of the bridge response. The results can provide additional insight into the behavior of the long-span steel truss bridges under in-service high-speed train loads.

Original languageEnglish (US)
Pages (from-to)585-599
Number of pages15
JournalSmart Structures and Systems
Issue number6
StatePublished - Jun 2023
Externally publishedYes


  • displacement
  • field monitoring data
  • high-speed train
  • impact factor
  • long-span steel truss arch bridge
  • peak acceleration
  • strain

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering


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