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Fatigue characterization analysis of a submerged fishing farm platform through spectral-based fracture mechanics

Lookup NU author(s): Professor Zhiqiang Hu

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


Abstract

This study proposes a general direct calculation approach for fatigue crack growth evaluation and life predictions through a spectral-based fracture mechanics method. First, equivalent damage accumulation rates are introduced to describe the crack propagation characteristics under short-term sea states, integrating wave spectrum and fracture mechanics. Subsequently, a general fatigue crack growth program is integrated to realize automatic crack growth, accurate stress intensity factor (SIF) calculation and reliable fatigue life prediction through coupling analysis of meter-scale structures and millimeter-scale cracks. Finally, a parameter study is implemented to explore the influence of wave direction and initial crack size/shape on the fatigue performance of the fishing farm platform. Results indicate that the remaining fatigue life is evidently longer under 90° wave direction than that under 0 and 45°, which can be well characterized through SIF transfer functions. Critical fatigue life decreases with the increase of crack size and aspect ratio with the shortest duration of 12.8 years, demonstrating that residual fatigue life is closely associated with initial crack state. Fatigue failure is more predominant at lower tubular joints with the critical fatigue life ranging from 15 to 30 years, indicating the self-developed program possesses good universality and applicability in dealing with fatigue issues.


Publication metadata

Author(s): He W, Xie L, Wang S, Wang C, Hu Z, Liu J

Publication type: Article

Publication status: Published

Journal: Ocean Engineering

Year: 2022

Volume: 264

Print publication date: 15/11/2022

Online publication date: 12/09/2022

Acceptance date: 18/08/2022

Date deposited: 13/09/2022

ISSN (electronic): 0029-8018

Publisher: Elsevier

URL: https://doi.org/10.1016/j.oceaneng.2022.112351

DOI: 10.1016/j.oceaneng.2022.112351

ePrints DOI: 10.57711/zgtv-ap74


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