Steel and Composite Structures

  • 제53권2호
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  • Pages.145-153
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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

System reliability assessment of hanger structure considering corrosion-fatigue coupling effect

  • Yang Ding (Key Laboratory of Transport Industry of Bridge Detection Reinforcement Technology, Chang'an University) ;
  • Chao-Dong Guan (Department of Civil Engineering, Hangzhou City University) ;
  • Jian Zhou (Department of Civil Engineering, Hangzhou City University) ;
  • Tian-Yun Chu (Jiaxing Tiankun Construction Engineering Design Co., Ltd.) ;
  • Xue-Song Zhang (State Key Laboratory of Mountain Bridge and Tunnel Engineering, Chongqing Jiaotong University)
  • 투고 : 2023.11.23
  • 심사 : 2024.08.15
  • 발행 : 2024.10.25
⟨ 이전 논문 다음 논문 ⟩

초록

The bridge hanger is exposed to cyclic loads, such as wind and vehicle loads, which can induce fatigue failure, significantly reducing its operational lifespan. Additionally, the hanger is prone to corrosion throughout transportation, construction, and operation. Although corrosion fatigue curves are typically derived from individual steel wire experiments, the bridge hanger comprises multiple parallel steel wires. Consequently, a corrosion fatigue curve based on a single wire may not accurately portray the hanger's longevity, and data solely at the component level may not encompass the overall system-level condition. To tackle this challenge, this paper introduces a series system-level reliability assessment framework based on dynamic Bayesian Networks, accounting for the interdependence between variables. Specifically, the framework encompasses a time-varying reliability model featuring three random parameters (corroded number, equivalent structural stress, and the total cycles number of wires) and leverages seven numerical simulation studies to investigate the impacts of these random parameters on system reliability.

키워드

과제정보

The work described in this paper was jointly supported by the Fundamental Research Funds for the Central Universities, CHD (Grant No. JQJJ202404), the Ministry of education of Humanities and Social Science Project (Grant No. 23YJCZH037), the Key Laboratory of C&PC Structures, Ministry of Education (Grant No. CPCSME2024-01), the State Key Laboratory of Mountain Bridge and Tunnel Engineering (Grant No. SKLBT-2210), the National Statistical Research Program (Grant No. 2024LZ001), the Educational Science Planning Project of Zhejiang Province (Grant No. 2023SCG222), and the Scientific Research Project of Zhejiang Provincial Department of Education (Grant No. Y202248682).

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