Structural Monitoring and Maintenance

  • 제5권1호
  • /
  • Pages.79-92
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  • 2018
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  • 2288-6605(pISSN)
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  • 2288-6613(eISSN)
테크노프레스 (Techno-Press)
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RAMS evaluation for a steel-truss arch high-speed railway bridge based on SHM system

  • Zhao, Han-Wei (Key Laboratory of C&PC Structures of the Ministry of Education, School of Civil Engineering, Southeast University) ;
  • Ding, You-Liang (Key Laboratory of C&PC Structures of the Ministry of Education, School of Civil Engineering, Southeast University) ;
  • Geng, Fang-Fang (School of Architecture Engineering, Nanjing Institute of Technology) ;
  • Li, Ai-Qun (Beijing Advanced Innovation Center for Future Urban Design, Beijing University of Civil Engineering and Architecture)
  • 투고 : 2017.11.05
  • 심사 : 2018.02.19
  • 발행 : 2018.03.25
⟨ 이전 논문 다음 논문 ⟩

초록

The evaluation theory of reliability, availability, maintainability and safety (RAMS) as a mature theory of state evaluation in the railway engineering, can be well used to the evaluation, management, and maintenance of complicated structure like the long-span bridge structures on the high-speed railway. Taking a typical steel-truss arch bridge on the Beijing-Shanghai high-speed railway, the Nanjing Dashengguan Yangtze River Bridge, this paper developed a new method of state evaluation for the existing steel-truss arch high-speed railway bridge. The evaluation framework of serving state for the bridge structure is presented based on the RAMS theory. According to the failure-risk, safety/availability, maintenance of bridge members, the state evaluation method of each monitoring item is presented. The weights of the performance items and the monitoring items in all evaluation levels are obtained using the analytic hierarchy process. Finally, the comprehensive serving state of bridge structure is hierarchical evaluated.

키워드

과제정보

연구 과제 주관 기관 : National Natural Science Foundation of China, Scientific Research Foundation of Graduate School of Southeast University, Central Universities

참고문헌

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피인용 문헌

  1. Multi-variate Empirical Mode Decomposition (MEMD) for ambient modal identification of RC road bridge vol.7, pp.4, 2018, https://doi.org/10.12989/smm.2020.7.4.283
  2. Big data platform for health monitoring systems of multiple bridges vol.7, pp.4, 2020, https://doi.org/10.12989/smm.2020.7.4.345