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Prediction of fatigue failure of corrosion affected riveted connections in steel structures

journal contribution
posted on 2024-11-02, 12:06 authored by Le Li, Mojtaba MahmoodianMojtaba Mahmoodian, Chun Qing LiChun Qing Li
Corrosion of steel is now a worldwide issue, threatening the safety of steel structures. Literature suggests that little research has been conducted on the prediction of fatigue failures of connections subjected to simultaneous fatigue and corrosion. This paper proposes a new method to predict the failure of connections subjected to fatigue and corrosion. A model is developed to determine the effect of corrosion on S-N curve of corroded steel. The fatigue damage to corroded connections is modelled as a stochastic process which considers the corrosion effects on both stress range and S-N curve. The first-passage probability method is used to determine the time-dependent probability of fatigue failure of connections subjected to fatigue and corrosion. A case study is then provided to demonstrate the application of the proposed methodology. It is found in the paper that not considering the effect of corrosion on S-N curve can lead to 15.45% reduction of the probability of fatigue failure of corroded connections over 150 years, which can be catastrophic. It has also been found, through sensitivity analysis, that corrosion rate can considerably affect the probability of fatigue failure in longer term. The methodology proposed in this paper can help structural engineers and asset managers in making decisions regarding the repair and/or maintenance of connections subjected to the combined effects of corrosion and fatigue.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1080/15732479.2020.1713166
  2. 2.
    ISSN - Is published in 15732479

Journal

Structure and Infrastructure Engineering

Volume

16

Issue

11

Start page

1524

End page

1538

Total pages

15

Publisher

Taylor & Francis

Place published

United Kingdom

Language

English

Copyright

© 2020 Informa UK Limited, trading as Taylor & Francis Group

Former Identifier

2006097581

Esploro creation date

2021-05-07

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