Abstract
According to the fatigue test statistical analysis method, the median S–N curve and the p-S–N curve with 99.9% survival rate of smooth specimens of high strength and toughness Al–Zn–Mg–Cu alloy are obtained. Based on these curves, the reliability analysis of test data under different stress amplitudes was analyzed. The finite element technique is used to simulate the stress intensity factor K, combined with fatigue crack growth rate test, using K criterion to predict and evaluate the safety and reliability of alloy materials and to serve for the service life design and fracture control of structural materials in fatigue service.
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References
A. Heinz, A. Haszler, C. Keidel et al., Recent development in aluminum alloys for aerospace applications. Mater. Sci. Eng. A 280(1), 102–107 (2000)
T. Dursun, C. Soutis, Recent developments in advanced aircraft aluminum alloys. Mater. Des. 56, 862–871 (2014)
J. Liu, Advanced aluminum and hybrid aerostructures for future aircraft. Mater. Sci. Forum 519–521, 1233–1238 (2006)
S. Dezecot, M. Brochu, Microstructural characterization and high cycle fatigue behavior of investment cast A357 aluminum alloy. Int. J. Fatigue 77, 154–159 (2015)
U. Zupanc, J. Grum, Effect of pitting corrosion on fatigue performance of shot-peened aluminum alloy 7075-T651. J. Mater. Process. Technol. 210, 1197–1202 (2010)
Y.Q. Wang, H.X. Yuan, Y.J. Shi, Mechanical and fatigue performance tests of cast aluminum alloy ZL111 adopted in structure. Adv. Mater. Res. 168(169/170), 1961–1969 (2010)
Shanqin Hou, Xu Jinquan, An approach to correlate fatigue crack growth rate with S-N for an aluminum alloy LY12CZ. Theoret. Appl. Fract. Mech. 95, 177–185 (2018)
Y. Shi, X. He, Y. Wang et al., Test studies on fatigue performance of aluminum alloys used in construction. J. Tsinghua Univ. Sci. Technol. 49(9), 1437–1440 (2009)
I. Marines, X. Bin, C. Bathias, An understanding of very high cycle fatigue of metals. Int. J. Fatigue 25(9), 1101–1107 (2003)
K.O. Ronold, I. Lotsberg, On the estimation of characteristic S-N curves with confidence. Mar. Struct. 27(1), 29–44 (2012)
Y. Murakami, K.J. Miller, What is fatigue damage? A view point from the observation of low cycle fatigue process. Int. J. Fatigue 27(8), 991–1005 (2005)
Y.Y. Jian, W. Ott, C. Baum, Fatigue life predictions by integrating EVICD fatigue damage model and an advanced cyclic plasticity theory. Int. J. Plast. 25(5), 780–801 (2009)
Acknowledgments
This work was financially supported by the Natural Science Foundation of Hunan Province (2018JJ4060), China Students’ Project for Innovation and Entrepreneurship Training (201811535021) and Hunan Province College Students’ Research Learning and Innovative Experiment Project (2018660).
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Jian, H., Yang, X., Wang, Y. et al. Research on Fatigue Life Prediction and Reliability of High Strength and Toughness Aluminum Alloys. J Fail. Anal. and Preven. 20, 1399–1407 (2020). https://doi.org/10.1007/s11668-020-00946-2
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DOI: https://doi.org/10.1007/s11668-020-00946-2