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A New Approach to the Combination of Load Interaction Effects and Damage Functions in Fatigue Life Prediction Based on Ductile Dissipation Energy

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Abstract

To address the failure of the toughness dissipation energy model to capture the effect of inter-load loading history factors on structural fatigue life under variable amplitude loading, in this paper, taking into account the interaction between loads, load order, and real-time damage, the ratio of stress amplitude between two adjacent levels and the real-time fatigue damage degree is introduced into the model calculation, and a new interaction factor related to the real-time fatigue damage function is established to obtain an improved nonlinear fatigue life prediction model. The predictive capability of the improved fatigue life prediction model is verified based on the test data of a variety of commonly used materials, such as 45 steel and aluminum alloy Al-2024-T42, under two-level and multi-level variable amplitude loading. According to the comparison analysis between the model-predicted data and the experimental data, it can be seen that the modified nonlinear fatigue life prediction model in this paper can effectively predict the remaining fatigue life for different materials under the multiple-level variable amplitude loading. Compared with other models, it is closer to the real experimental value. The data required in the model can be obtained from experiments without introducing additional parameters, which is more suitable for practical engineering.

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Funding

This study was supported by the Natural Science Foundation of Liaoning Province (no. 2019KF0204); and Liaoning Province 2020 College Innovation Talents Support Plan

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Correspondence to Yuan Liu or Qiwen Xue.

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Liu, Y., Xue, Q. A New Approach to the Combination of Load Interaction Effects and Damage Functions in Fatigue Life Prediction Based on Ductile Dissipation Energy. Mech. Solids 58, 1202–1213 (2023). https://doi.org/10.3103/S0025654423600113

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  • DOI: https://doi.org/10.3103/S0025654423600113

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