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Peridynamic Modeling of Corrosion Fatigue in Metallic Materials
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Yusong Pan1, Xulong Peng2, Ziguang Chen1, 3, **
Chinese Journal of Solid Mechanics | 2024, 45(3) : 326 - 340
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Chinese Journal of Solid Mechanics | 2024, 45(3): 326-340
Research Paper
Peridynamic Modeling of Corrosion Fatigue in Metallic Materials
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Yusong Pan1, Xulong Peng2, Ziguang Chen1, 3, **
Affiliations
  • 1Department of Engineering Mechanics, School of Aerospace Engineering, Huazhong University of Science and Technology, Wuhan, 430074
  • 2School of Civil Engineering, Changsha University of Science & Technology, Changsha, 410114
  • 3Hubei Key Laboratory of Engineering Structural Analysis and Safety Assessment, 1037 Luoyu Road, Wuhan, 430074
Published: 2024-06-25 doi: 10.19636/j.cnki.cjsm42-1250/o3.2024.003
Outline
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Fatigue failure is the most common form of failure in engineering. Under the interaction betweenthe corrosive environment and fatigue load, the fatigue life of a structure is significantly reduced. It often consumes a lot of time and economic costs to evaluate the fatigue properties of materials or structures through corrosion fatigue experiments. Therefore, it is crucial to establish a reliable numerical prediction model for scientific research and engineering design. In this study, we develop a peridynamic corrosion fatigue model, which combines the peridynamic fatigue crack model and the peridynamic stress-corrosion model, according to the superposition model of corrosion fatigue. In this model, corrosion fatigue damage is a linear superposition of corrosion damage and fatigue damage, and the coupling between stress and corrosion is considered. Consequently, the effect of structural deformation on the corrosion rate, the heterogeneity of the products, and the geometry of the corrosion front can be considered simultaneously in the model. The new model is then applied to simulate the corrosion fatigue failure process (including crack initiation and crack growth phases) of stainless steel compact tensile specimens. The simulation results show that the model can accurately describe the complete corrosion fatigue failure process of the compact tensile specimen, with the corrosion fatigue crack initiating randomly but consistently around the expected high-stress region. The decrease in fatigue life due to the interaction between the corrosion environment and fatigue load is captured, and prolonged corrosion time exacerbates the reduction in fatigue life when a lower load is applied. The influence of loading frequency on corrosion fatigue behavior is investigated by calculating the crack initiation life and comparing crack length curves. The model can also capture the significant influence of loading frequency on the fatigue life in corrosion fatigue processes. Reducing the loading frequency extends the corrosion time between each cyclic load, intensifying corrosion damage and ultimately reducing the crack initiation life while accelerating crack growth. The numerical results demonstrate that the introduced mechano-chemical damage model can capture the loading frequency sensitivity.

peridynamics  /  corrosion fatigue  /  mechanical damage  /  corrosion damage  /  stress corrosion
Yusong Pan, Xulong Peng, Ziguang Chen. Peridynamic Modeling of Corrosion Fatigue in Metallic Materials[J]. Chinese Journal of Solid Mechanics, 2024 , 45 (3) : 326 -340 . DOI: 10.19636/j.cnki.cjsm42-1250/o3.2024.003
Year 2024 volume 45 Issue 3
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Article Info
doi: 10.19636/j.cnki.cjsm42-1250/o3.2024.003
  • Receive Date:2024-01-16
  • Online Date:2026-04-01
  • Published:2024-06-25
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  • Received:2024-01-16
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Affiliations
    1Department of Engineering Mechanics, School of Aerospace Engineering, Huazhong University of Science and Technology, Wuhan, 430074
    2School of Civil Engineering, Changsha University of Science & Technology, Changsha, 410114
    3Hubei Key Laboratory of Engineering Structural Analysis and Safety Assessment, 1037 Luoyu Road, Wuhan, 430074
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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