Reliability analysis method for aircraft structure corrosion fatigue based on Chaboche model

•Proposed a corrosion fatigue reliability method for aircraft structures.•Introduce corrosion damage into the fatigue cumulative damage model.•Conducted SO2 salt spray corrosion fatigue test on A100 steel.•Use Monte Carlo method to reconstruct the corrosion fatigue life distribution of the structure...

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Bibliographic Details
Published inInternational journal of fatigue Vol. 199; p. 109070
Main Authors Zhuzhu, Zhang, Haitao, Mao, Hailiang, Huang, Xingjun, Wu, Pei, Shen, Yulin, Liu
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.10.2025
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Summary:•Proposed a corrosion fatigue reliability method for aircraft structures.•Introduce corrosion damage into the fatigue cumulative damage model.•Conducted SO2 salt spray corrosion fatigue test on A100 steel.•Use Monte Carlo method to reconstruct the corrosion fatigue life distribution of the structure. A reliability analysis method for predicting the service life of aircraft structures considering corrosion damage has been proposed. This method introduces corrosion damage as the initial damage into the Chaboche fatigue cumulative damage model, and uses Monte Carlo method to simulate and reconstruct the corrosion fatigue damage process of the structure, achieving reliability analysis of the corrosion fatigue life of aircraft structures. To verify the effectiveness of the proposed method, SO2 salt spray accelerated corrosion test and corrosion fatigue test were conducted on A100 steel as a case study, revealing the damage law and mechanism of A100 steel under corrosive environment and fatigue load. By establishing a Chaboche fatigue cumulative damage model for A100 steel and completing model parameter calibration, the reliability of structural corrosion fatigue life was evaluated using the proposed reliability method. This method can improve the maintainability and reliability requirements of aircraft structures in corrosive environments, providing a new approach for aircraft structure safety assessment, life monitoring, and life extension.
ISSN:0142-1123
DOI:10.1016/j.ijfatigue.2025.109070