Smart Structures and Systems

  • 제22권2호
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  • Pages.193-200
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  • 2018
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

Reliability analysis for fatigue damage of railway welded bogies using Bayesian update based inspection

  • Zuo, Fang-Jun (School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China) ;
  • Li, Yan-Feng (Center for System Reliability and Safety, University of Electronic Science and Technology of China) ;
  • Huang, Hong-Zhong (Center for System Reliability and Safety, University of Electronic Science and Technology of China)
  • 투고 : 2017.05.08
  • 심사 : 2018.03.19
  • 발행 : 2018.08.25
⟨ 이전 논문 다음 논문 ⟩

초록

From the viewpoint of engineering applications, the prediction of the failure of bogies plays an important role in preventing the occurrence of fatigue. Fatigue is a complex phenomenon affected by many uncertainties (such as load, environment, geometrical and material properties, and so on). The key to predict fatigue damage accurately is how to quantify these uncertainties. A Bayesian model is used to account for the uncertainty of various sources when predicting fatigue damage of structural components. In spite of improvements in the design of fatigue-sensitive structures, periodic non-destructive inspections are required for components. With the help of modern nondestructive inspection techniques, the fatigue flaws can be detected for bogie structures, and fatigue reliability can be updated by using Bayesian theorem with inspection data. A practical fatigue analysis of welded bogies is utilized to testify the effectiveness of the proposed methods.

키워드

과제정보

연구 과제 주관 기관 : National Natural Science Foundation of China

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피인용 문헌

  1. Fatigue Reliability Analysis of Motor Hanger for High-Speed Train Based on Bayesian Updating and Subset Simulation vol.2020, pp.None, 2018, https://doi.org/10.1155/2020/3012471