Evolution of surface roughness of notched steel details under fatigue loading

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A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

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en

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21

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Structures, Volume 58

Abstract

A fatigue crack initiates on the surface of the steel members, which can be attributed to the extrusions and intrusions caused by cyclic loading. The surface roughness parameters, including the statistical surface roughness and maximum surface roughness parameters, can characterize the increase in extrusion and intrusion. Six notched specimens were loaded with cyclic loading, and the evolution of the surface roughness parameters was monitored during the test to explore the characteristics of the surface roughness during the fatigue loading procedure in the high-cycle fatigue regime and clarify the effects of the initial surface finish and load ratio on the surface roughness evolution. Based on the test results, it was found that the 3D average surface roughness Sa and 3D root-mean-square surface roughness Sq were preferable for detecting the onset of fatigue cracks compared with the 2D average surface roughness Ra and 2D root-mean-square surface roughness Rq. The 3D maximum valley depth, Sv, was an effective indicator of the fatigue crack initiation location, except for compression-dominant fatigue loading. The evolution patterns of the 3D average surface roughness, Sa, and 3D root-mean-square surface roughness Sq during fatigue loading can be classified into three phases: instant response, damage accumulation, and crack-induced response. In addition, surface polishing is recommended for evaluation using 2D surface roughness parameters. However, it is not mandatory for evaluations using 3D surface roughness parameters. The effects of typical load ratios (0.1, −1, and 10) on the evolution pattern of the 3D statistical surface roughness parameters, especially in the instant response phase, were also investigated.

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Funding Information: This research was partially sponsored by the Jane and Aatos Erkko Foundation in Finland (Grant No. 210018 ) and the Aalto research project funding in ENG 2022. The support provided by Dr Pauli Lehto and Mr Kim Widell in the guidance of the measurement equipment and Dr Youqi Zhang in guiding the Python coding is also appreciated. Publisher Copyright: © 2023 The Author(s)

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Citation

Hao, R & Lin, W 2023, 'Evolution of surface roughness of notched steel details under fatigue loading', Structures, vol. 58, 105441. https://doi.org/10.1016/j.istruc.2023.105441