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Partial safety factor calibration from stochastic finite element computation of welded joint with random geometries

Author

Listed:
  • Schoefs, Franck
  • Chevreuil, Mathilde
  • Pasqualini, Olivier
  • Cazuguel, Mikaël

Abstract

Welded joints are used in various structures and infrastructures like bridges, ships and offshore structures, and are submitted to cyclic stresses. Their fatigue behaviour is an industrial key issue to deal with and still offers original research subjects. One of the available methods relies on the computing of the stress concentration factor. Even if some studies were previously driven to evaluate this factor onto some cases of welded structures, the shape of the weld joint is generally idealized through a deterministic parametric geometry. Previous experimental works however have shown that this shape plays a key role in the lifetime assessment. We propose in this paper a methodology for computing the stress concentration factor in presence of random geometries of welded joints. In view to make the results available by engineers, this method merges stochastic computation and semi-probabilistic analysis by computing partial safety factors with a dedicated method.

Suggested Citation

  • Schoefs, Franck & Chevreuil, Mathilde & Pasqualini, Olivier & Cazuguel, Mikaël, 2016. "Partial safety factor calibration from stochastic finite element computation of welded joint with random geometries," Reliability Engineering and System Safety, Elsevier, vol. 155(C), pages 44-54.
    • Handle: RePEc:eee:reensy:v:155:y:2016:i:c:p:44-54
    DOI: 10.1016/j.ress.2016.05.016
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    Cited by:

    1. Wang, Run-Zi & Gu, Hang-Hang & Zhu, Shun-Peng & Li, Kai-Shang & Wang, Ji & Wang, Xiao-Wei & Hideo, Miura & Zhang, Xian-Cheng & Tu, Shan-Tung, 2022. "A data-driven roadmap for creep-fatigue reliability assessment and its implementation in low-pressure turbine disk at elevated temperatures," Reliability Engineering and System Safety, Elsevier, vol. 225(C).

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