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Integration of a peridynamic fatigue model with two-parameter crack driving force

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Abstract

In this study, a new crack growth prediction modeling approach based on an ordinary state-based peridynamic formulation is developed to improve predictive modeling of R-ratio effects on fatigue crack growth behavior. The proposed modeling method integrates the recently developed analytical remaining-life solution of the peridynamic fatigue model and a generalized two-parameter crack driving force model to predict crack growth rates at various R-ratios. The two-parameter driving force model is formulated to combine two independent crack growth driving force parameters of \({K}_{\mathrm{max}}\) and \(\Delta K\) to incorporate R-ratio effects on crack growth behavior. Predicted crack growth rates are validated with crack growth data at various R-ratio effects for 2024-T3 and 7075-T6 aluminum alloys. Results show that very good agreements between experimental data and model predictions at four different R-ratios for both aluminum alloys. The proposed modeling approach shows efficient and accurate computations of crack growth rates by accounting different R-ratio loading conditions.

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  1. Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montreal, Canada

    D. J. Bang & A. Ince

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Bang, D.J., Ince, A. Integration of a peridynamic fatigue model with two-parameter crack driving force. Engineering with Computers 38, 2859–2877 (2022). https://doi.org/10.1007/s00366-022-01619-4

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