Smart Structures and Systems

  • 제17권6호
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  • Pages.1107-1127
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  • 2016
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
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Field monitoring of the train-induced hanger vibration in a high-speed railway steel arch bridge

  • Ding, Youliang (School of Civil Engineering, Key Laboratory of C&PC Structures of the Ministry of Education, Southeast University) ;
  • An, Yonghui (Department of Civil Engineering, State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology) ;
  • Wang, Chao (School of Civil Engineering, Key Laboratory of C&PC Structures of the Ministry of Education, Southeast University)
  • 투고 : 2015.11.23
  • 심사 : 2016.04.19
  • 발행 : 2016.06.25
⟨ 이전 논문 다음 논문 ⟩

초록

Studies on dynamic characteristics of the hanger vibration using field monitoring data are important for the design and evaluation of high-speed railway truss arch bridges. This paper presents an analysis of the hanger's dynamic displacement responses based on field monitoring of Dashengguan Yangtze River Bridge, which is a high-speed railway truss arch bridge with the longest span throughout the world. The three vibration parameters, i.e., dynamic displacement amplitude, dynamic load factor and vibration amplitude, are selected to investigate the hanger's vibration characteristics in each railway load case including the probability statistical characteristics and coupled vibration characteristics. The influences of carriageway and carriage number on the hanger's vibration characteristics are further investigated. The results indicate that: (1) All the eight railway load cases can be successfully identified according to the relationship of responses from strain sensors and accelerometers in the structural health monitoring system. (2) The hanger's three vibration parameters in each load case in the longitudinal and transverse directions have obvious probabilistic characteristics. However, they fall into different distribution functions. (3) There is good correlation between the hanger's longitudinal/transverse dynamic displacement and the main girder's transverse dynamic displacement in each load case, and their relationships are shown in the hysteresis curves. (4) Influences of the carriageway and carriage number on the hanger's three parameters are different in both longitudinal and transverse directions; while the influence on any of the three parameters presents an obvious statistical trend. The present paper lays a good foundation for the further analysis of train-induced hanger vibration and control.

키워드

과제정보

연구 과제 주관 기관 : National Natural Science Foundation

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피인용 문헌

  1. Fast Warning Method for Rigid Hangers in a High-Speed Railway Arch Bridge Using Long-Term Monitoring Data vol.31, pp.6, 2017, https://doi.org/10.1061/(ASCE)CF.1943-5509.0001097
  2. Deployment of a Smart Structural Health Monitoring System for Long-Span Arch Bridges: A Review and a Case Study vol.17, pp.9, 2017, https://doi.org/10.3390/s17092151
  3. Fatigue Behavior Evaluation of Full-Field Hangers in a Rigid Tied Arch High-Speed Railway Bridge: Case Study vol.23, pp.5, 2018, https://doi.org/10.1061/(ASCE)BE.1943-5592.0001235
  4. Finite element model calibration of a steel railway bridge via ambient vibration test vol.27, pp.3, 2016, https://doi.org/10.12989/scs.2018.27.3.327
  5. Wheel tread defect detection for high-speed trains using FBG-based online monitoring techniques vol.21, pp.5, 2016, https://doi.org/10.12989/sss.2018.21.5.687
  6. Structural health monitoring of a high-speed railway bridge: five years review and lessons learned vol.21, pp.5, 2016, https://doi.org/10.12989/sss.2018.21.5.695
  7. CNN-based damage identification method of tied-arch bridge using spatial-spectral information vol.23, pp.5, 2019, https://doi.org/10.12989/sss.2019.23.5.507
  8. Digital Twin Aided Vulnerability Assessment and Risk-Based Maintenance Planning of Bridge Infrastructures Exposed to Extreme Conditions vol.13, pp.4, 2016, https://doi.org/10.3390/su13042051