Residual stress fatigue state evaluation driven by the fusion of physical model and Gaussian process

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Journal of Vibration and Shock ›› 2022, Vol. 41 ›› Issue (2) : 224-228.

LIANG Tianyou,YIN Aijun,CHEN Ping,FANG Jie

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Abstract

Vibration is an important factor in the fatigue failure of metal components, and residual stress can characterize the fatigue state of metal components. Residual stress is an important factor affecting the fatigue life of metal components. The introduction of residual compressive stress through surface strengthening techniques such as shot peening can improve the life of components. However, the evolution behavior of residual stress in the process of fatigue is complex. The traditional life model is usually suitable for the slow relaxation process of residual stress, and less consideration is given to the effects of initial residual stress, cold work hardening, material difference and so on. These models has large evaluation error. In this paper, the thesis fuses the physical model and the data-driven method based on Gaussian process, and establishes the component cycle prediction model driven by the fusion of Kodama physical model and Gaussian process (K-GP). The fatigue test of 2024 aluminum alloy shot peening specimens proves that the model proposed in this paper can reduce the influence of differences in specimen materials and surface strengthening processes on the evaluation results and improve the accuracy of the residual stress evolution model.

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metal component / residual stress / fatigue state assessment / Gaussian process / fusion-driven

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LIANG Tianyou,YIN Aijun,CHEN Ping,FANG Jie. Residual stress fatigue state evaluation driven by the fusion of physical model and Gaussian process[J]. Journal of Vibration and Shock, 2022, 41(2): 224-228

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