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Effect of Pre-Cyclic Stress on Fatigue Crack Propagation Behavior of Key Structural Al Alloy Materials Used in High Speed Trains |
ZHANG Xiaochen,MENG Weiying( ),ZOU Defang,ZHOU Peng,SHI Huaitao |
School of Mechanical Engineering, Shenyang Jianzhu University, Shenyang 110168, China |
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Cite this article:
ZHANG Xiaochen, MENG Weiying, ZOU Defang, ZHOU Peng, SHI Huaitao. Effect of Pre-Cyclic Stress on Fatigue Crack Propagation Behavior of Key Structural Al Alloy Materials Used in High Speed Trains. Acta Metall Sin, 2019, 55(10): 1243-1250.
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Abstract The complex cyclic loading is a "potential killer" affecting the service security of high speed trains. It is necessary to investigate the influence of cyclic loading on vehicle structures and explore potential methods to improve the service strength and life of structural materials. In this work, the mechanical property tests for key structural materials (Al alloy) that experienced years of service were described, the fatigue crack propagation (FCP) behavior at different stages were analyzed, and the changing pattern of mechanical behavior of material was demonstrated over time. Since the specimens showed turning characters on FCP behavior, the mechanical property tests for materials that subjected to different levels of pre-cyclic stress (PCS) were further carried out to analyses the "coaxing" effects of PCS and establish a more reasonable life prediction model for materials. It is found that a turning phenomenon or "turning" point is clearly shown in the early stage of the fitted curves for the specimens with service experience, which is mainly due to the delayed extension behavior in the region near the threshold; the curves of crack propagation rates and stress intensity factor (da/dN-ΔK) of specimens subjected to PCS show a similar turning phenomenon at the initial stage of steady-state crack growth to that of specimens with service experience; the "coaxing" effect of PCS on material is different for different PCS levels, and there is an optimal PCS for the "coaxing" effect; the model proposed in this study has higher accuracy in FCP life prediction for the da/dN-ΔK curves with "turning" character.
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Received: 01 November 2018
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Fund: National Natural Science Foundation of China(51705341);National Natural Science Foundation of China(51675353);Natural Science Foundation of Liaoning Province(20180540137);Natural Science Foundation of Liaoning Province(2019-BS-198) |
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