Reliability Prediction of Variable Amplitude Corrosion Fatigue Life of TP140 Casing Steel

Abstract:

Based on the constant amplitude CF test of oil well tube material TP140small specimen, the procedures of predicting the variable amplitude corrosion fatigue (VACF) life of given reliability of TP140 were developed. Through the multi-sample sinusoidal loading constant amplitude CF life texts, the reliability distribution of CF life was analyzed. The CF life prediction of the specified reliability was obtained under 4 different stress levels, and the corresponding P-S-N curve expressions were obtained. Using VACF loading block spectrum and P-S-N curve expressions, the VACF life was calculated without considering the loading sequence effect. Furthermore, 5 VACF life tests were carried out using the same loading block spectrum. The VACF life with reliability was predicted by the principle of reliability and statistics. VACF life was calculated and compared with the predicted life. Test results and analysis show that the predicted results agree well with the experimental results, and CF life of TP140 casing steel follows a lognormal distribution at the given equivalent stress level, which has been substantiated.

• Periodical: Materials Science Forum (Volume 993)
• Pages: 559-567
• DOI: https://doi.org/10.4028/www.scientific.net/MSF.993.559
• Online since: May 2020
• Authors: Lu Cui, Kai Zhou Bian, Wen Quan Kang, Yu Feng Zhang, Zhen Li*
• Keywords: Corrosion Fatigue, Life Prediction, Lognormal Distribution, Reliability, Variable Amplitude

References

[1] N. O. Larrosa, R. Akid & R. A. Ainsworth, Corrosion-fatigue: a review ofdamage tolerance models, International Materials Reviews.63(2017)78-83.

DOI: 10.1080/09506608.2017.1375644

[2] Lihong Han, Ming Liu,Sheji Luo, et al,Fatigue and corrosion fatigue behaviors of G105 and S135 high-strength drill pipe steels in air and H2S environment, Process Safety and Environmental Protection 124 (2019)63-74.

DOI: 10.1016/j.psep.2019.01.023

[3] John A, Mullard and Mark G, Life-Cycle Cost Assessment of Maintenance Strategies for RC Structures in Chloride Environments, J Bridge Eng.17 (2012) 353-362.

DOI: 10.1061/(asce)be.1943-5592.0000248

[4] B.J. Wang D.K. Xu,S.D. Wang, et al,Influence of solution treatment on the corrosion fatigue behavior of an as-forged Mg-Zn-Y-Zr alloy, Int J Fatigue.120 (2019) 46-55.

DOI: 10.1016/j.ijfatigue.2018.10.019

[5] Lü Baotong, Zheng Xiulin, Lü Xiaoyan, Zheng X. Effects of Microstructure on Fatigue Crack Initiation and Propagation of 16Mn Steel[J]. Met. Trans. Vol.20A, 1989.413-419.

DOI: 10.1007/bf02653920

[6] Wei Jianfeng, Zheng Xiulin, Lu Baotong, P-S-N curve expression and life estimation of LY12CZ aluminum alloy incision parts. School of Materials Science and Engineering, Northwestern Polytechnical University, Xi'an, Shaanxi, China 1997.2.

[7] Wei Jianfeng, Lu Baotong, Zheng Xiulin, Curve expression and life estimation of the survival rate of normalized 45 steel incision parts. School of Materials Science and Engineering, Northwestern Polytechnical University, Xi'an, Shaanxi 1996.5.

[8] Xiulin Zheng, Zhen Li, Yongji Shi, et al, Fatigue performance of old bridge steel and the proceduresfor life prediction with given survivability, Eng Fract Mechanics. 53 (1996) 251-262.

DOI: 10.1016/0013-7944(95)00076-3

[9] Zheng Xiulin, Li Zhen, Lv Baotong, et al, Prediction of probability distribution of fatigue life of15MnVN steel notched elements under variable-amplitude loading, Int J Fatigue. 18 (1996) 81-86.

DOI: 10.1016/0142-1123(95)00081-x

[10] Gao Zhentong. Fatigue application statistics, Beijing, (1986).

[11] Wang Rong. Corrosion fatigue of metal materials, Xi'an, (2001).

[12] Rolfe S T, Barsom J M, Fracture and Fatigue Control in Structures, Prentice Hall, Englewood, Cliffs, U.S. (1975)205-231.

[13] Ishihara S, Saka S, Nan ZY, et al, Prediction of corrosion fatigue lives of aluminium alloy on the basis of corrosion pit growth law, Fatigue Fract Eng Mater Struct. 29 (2006) 472–480.

DOI: 10.1111/j.1460-2695.2006.01018.x

[14] Sriraman MR, Pidaparti RM, Life prediction of air craft Aluminium subjected to pitting corrosion under fatigue conditions, J Aircraft. 46 (2009) 1253–1259.

DOI: 10.2514/1.40481

[15] Hou NX, Wen ZX, Yu QM, Yue QM, Application of a combined high and low cycle fatigue life model on life prediction of SC blade, Int J Fatigue. 31 (2009) 616–9.

DOI: 10.1016/j.ijfatigue.2008.03.021

[16] Cui L, Scholz A, Von Hartrott P, Schlesinger M, Lebensdauervorhersage–Entwicklung von Modellen zur Lebensdauervorhersage von Kraftwerkbauteilen unter thermisch-mechanischer Kriechermüdungsbeanspruchung, vol. 888. Frankfurt/Main, Germany: Forschungsvereinigung Verbrennungskraftmaschinen (FVV); 2009, Final report of the project Nr. 895.

[17] Bernard Fedelich, Hans-Joachim Kühn, Birgit Rehmer, et al, Experimental and analytical investigation of the TMF-HCF lifetime behavior of two cast iron alloys, Int J Fatigue. 99 (2016) 266-278.

DOI: 10.1016/j.ijfatigue.2016.11.013

[18] Zheng Xiulin. Quantitative theory of metal fatigue, Xi'an, (1984).

[19] Zheng X L, Overload effect on fatigue crack initiation behavior and life prediction model of low carbon steels, Int J Fatigue, 17(1995) 331-337.

DOI: 10.1016/0142-1123(95)99733-q

[20] Zheng Xiulin, Wang Hong, Yan Junhui, et al, Material fatigue theory and engineering application, Beijing, (2013).

[21] International Forum for Physical Metallurgy of IF Steel. Tokyo, (1994).