Determining the Accuracy of the Life Determination Analysis for Low Carbon Steel

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The objective of this paper is to obtain fatigue properties of API X65 steel using the stress life (S-N) approached. In this method S-N curve was established by relating the applied load and the number of cycles to failure. The sets of data were successfully constructed within the range of high and low cycle domains. The fully reversed loading was employed to generate the most severe damage condition. The experiment data lies approximately within correlation boundaries of 1:2 and 2:1. The mean square error was performed to evaluate the goodness of experiment to the simulated data. Therefore, with a 21% of accuracy it was concluded the presented data taken from actual measurements can be used for life prediction of X65 steel.

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89-93

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August 2015

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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[1] T. Lassen, N. Recho, Proposal for a more accurate physically based S–N curve for welded steel joints, Int. J. of Fatigue. 31 (2009) 70-78.

DOI: 10.1016/j.ijfatigue.2008.03.032

Google Scholar

[2] X. Zhao, D. Wang, L. Huo, Analysis of the S–N curves of welded joints enhanced by ultrasonic peening treatment, Materials & Design. 32 (2011) 88-96.

DOI: 10.1016/j.matdes.2010.06.030

Google Scholar

[3] S. Rimkevicius, A. Kaliatka, M. Valincius, G. Dundulis, R. Janulionis, A. Grybenas, I. Zutautaite, Development of approach for reliability assessment of pipeline network systems. Appl. Energy 94 (2012) 22 - 33.

DOI: 10.1016/j.apenergy.2012.01.015

Google Scholar

[4] C.R.F. Azevedo, Failure analysis of a crude oil pipeline, Eng. Fail. Anal. 14 (2007) 978 - 994.

Google Scholar

[5] R. Fouchereau, G. Celeux, P. Pamphile, Probabilistic modeling of S-N curves, Int. J. of Fatigue. 68 (2014) 217 - 223.

DOI: 10.1016/j.ijfatigue.2014.04.015

Google Scholar

[6] S. Hai-Jun, G. Wan-Lin, M. Jun-Feng, Z. Bao-Tian, Relations between the S–N, ɛ–N and da/dN-DK curves of materials, Open Mech. Eng. J. 3 (2009) 35 - 42.

Google Scholar

[7] C.S. Bandara, S.C. Siriwardane, U.I. Dissanayake, R. Dissanayake, Fatigue failure predictions for steels in the very high cycle region – A review and recommendations, Eng. Fail. Anal. 45 (2014) 421 - 435.

DOI: 10.1016/j.engfailanal.2014.07.015

Google Scholar

[8] A. Pfennig, R. Wiegand , M. Wolf, C.P. Bork, Corrosion and corrosion fatigue of AISI 420C (X46Cr13) at 60 °C in CO2-saturated artificial geothermal brine. Corr. Sci. 68 (2013) 134 - 143.

DOI: 10.1016/j.corsci.2012.11.005

Google Scholar

[9] X. Zhao, D. Wang, L. Huo, Analysis of the S–N curves of welded joints enhanced by ultrasonic peening treatment, Materials & Design. 32 (2011) 88 - 96.

DOI: 10.1016/j.matdes.2010.06.030

Google Scholar

[10] K. Miková, S. Bagherifard, O. Bokuvka, M. Guagliano, L. Trško, Fatigue behavior of X70 microalloyed steel after severe shot peening, Int. J. of Fatigue 55 (2013) 33 - 42.

DOI: 10.1016/j.ijfatigue.2013.04.021

Google Scholar

[11] ASTM E466-07, Standard Practice for Conducting Force Controlled Constant Amplitude Axial Fatigue Test of Metallic Materials, ASTM International, (2013).

DOI: 10.1520/e0466-96

Google Scholar

[12] Elements of Metallurgy and Engineering Alloys, Chapter 14 Fatigue, ASM International, (2008).

Google Scholar

[13] P. Gallo, F. Berto, P. Lazzarin, P. Luisetto, High temperature fatigue tests of Cu-Be and 40CrMoV13. 9 alloys. Procedia Materials Science 3 (2014) 27 - 32.

DOI: 10.1016/j.mspro.2014.06.007

Google Scholar

[14] O. Fatoba, R. Akid, Low cycle fatigue behaviour of API 5LX65 pipeline steel at room temperature, Procedia Engineering. 74 (2014) 279 - 286.

DOI: 10.1016/j.proeng.2014.06.263

Google Scholar

[15] B. Boardman, Deere, ASM Handbook, Volume 1: Properties and Selection: Irons, Steels, and High-Performance Alloys, in: ASM International, 1990, pp.673-688.

DOI: 10.31399/asm.hb.v01.9781627081610

Google Scholar

[16] M. Mohammad, S. Abdullah, N. Jamaludin, O. Innayatullah, Predicting the fatigue life of the SAE 1045 steel using an empirical Weibull-based model associated to acoustic emission parameters, Materials & Design. 54 (2014) 1039 - 1048.

DOI: 10.1016/j.matdes.2013.09.021

Google Scholar