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Reliability analysis of steel pipe with longitudinal corrosion damage considering elastoplastic fracture behaviour

journal contribution
posted on 2024-11-02, 21:08 authored by Yanlin Wang, Weigang Wang, Bohua Zhang, Yueru Li, Chun Qing LiChun Qing Li
Reliability assessment on fracture failure of pipes due to corrosion has recently stimulated great interest in academia. However, a review of the literature suggests that little research has been conducted on prediction of steel pipe failure considering the ductile fracture characteristics. In this paper, a methodology is presented for predicting the time to corrosion-induced fracture failure of steel pipes with longitudinal damage based on elastoplastic fracture mechanics and the first passage method. The concept of J-integral and a generic form of stochastic model are employed to establish the load effect for the pipe with longitudinal corrosion damage. To facilitate practical application of the proposed methodology, a worked example is presented with sensitivity analysis to identify the most influential factors for fracture failure. It is found in the paper that fracture failure contributes to the probability of pipe failure more than leakage failure mode. It is also found that reference stress in the J-integral model, the diameter of the pipe, the fracture resistance of steel and the corrosion growth rate are the dominant factors for fracture failure. The methodology presented in this paper can serve as a rational tool for pipeline engineers to develop rehabilitation or maintenance strategies.

Funding

Prediction of mixed mode fracture failures of metal pipelines

Australian Research Council

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preventing reoccurrence of catastrophic failures of stormwater pipelines

Australian Research Council

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History

Related Materials

  1. 1.
    DOI - Is published in 10.1016/j.ijpvp.2022.104676
  2. 2.
    ISSN - Is published in 03080161

Journal

International Journal of Pressure Vessels and Piping

Volume

198

Number

104676

Start page

1

End page

12

Total pages

12

Publisher

Elsevier

Place published

United Kingdom

Language

English

Copyright

© 2022 Elsevier Ltd. All rights reserved.

Former Identifier

2006116160

Esploro creation date

2023-04-28

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