Abstract
The study presents a probabilistic modeling of the fatigue crack growth prediction of the pipeline steel weldments in nuclear power plants in the context of an integrated structural health monitoring setting. Fatigue testing of the crack growth in the fusion line region of the steel weldments is made using compact-tension specimens. In particular, the uncertainty of the crack growth due to different crack plane orientations is investigated in details. A total of six orientations of the specimens are manufactured and tested according to the ASTM standards to obtain the fatigue crack growth data. The Bayesian method is used to identify the probability density function of the parameters of the Paris’ fatigue crack growth model. Using the concept of damage tolerance, the reliability model of the pipeline weldments given the minimal detectable internal flaws of the ultrasonic nondestructive evaluations can be established. The time-dependent reliability of the pipeline weldments is obtained using the efficient first-order reliability method. Results indicate the uncertainty of the orientations of the flaws plays an important role in the overall reliability of the pipeline weldments.
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References
Qiao, Q., Cheng, G., Li, Y., et al.: Corrosion failure analyses of an elbow and an elbow-to-pipe weld in a natural gas gathering pipeline. Eng. Fail. Anal. 82, 599–616 (2017)
Shalaby, H.M.: Failure investigation of 321 stainless steel pipe to flange weld joint. Eng. Fail. Anal. 80, 290–298 (2017)
Jaske, C.E.: Fatigue-strength-reduction factors for welds in pressure vessels and piping. J. Press. Vessel Technol. 122(3), 297–304 (2000)
Jia, X., An, J., Jing, J.: Transient characteristics of main feedwater line rupture accident for AP1000 nuclear power plant. Atomic Energy Sci. Technol. 50(8), 1422–1427 (2016)
Frangopol, D., Kim, S.: Prognosis and life-cycle assessment based on SHM information. In: Sensor Technologies for Civil Infrastructures, pp. 145–171. Elsevier (2014)
He, J., Guan, X., Peng, T., et al.: A multi-feature integration method for fatigue crack detection and crack length estimation in riveted lap joints using Lamb waves. Smart Mater. Struct. 22(10), 105007 (2013)
Kulkarni, S., Achenbach, J.D.: Structural health monitoring and damage prognosis in fatigue. Struct. Health Monit. 7(1), 37–49 (2008)
Friswell, M.I., Penny, J.E.: Crack modeling for structural health monitoring. Struct. health Monit. 1(2), 139–148 (2002)
Vanniamparambil, P.A., Bartoli, I., Hazeli, K., et al.: An integrated structural health monitoring approach for crack growth monitoring. J. Intell. Mater. Syst. Struct. 23(14), 1563–1573 (2012)
Ling, Y., Mahadevan, S.: Integration of structural health monitoring and fatigue damage prognosis. Mech. Syst. Sig. Process. 28, 89–104 (2012)
Bang, D.J., Ince, A., Noban, M.: Modeling approach for a unified crack growth model in short and long fatigue crack regimes. Int. J. Fatigue 128, 105182 (2019)
Wang, X.G., Ran, H.R., Jiang, C., et al.: An energy dissipation-based fatigue crack growth model. Int. J. Fatigue 114, 167–176 (2018)
Xie, X., Jiang, W., Luo, Y., et al.: A model to predict the relaxation of weld residual stress by cyclic load: experimental and finite element modeling. Int. J. Fatigue 95, 293–301 (2017)
Tang, L., Qian, C., Ince, A., et al.: Fatigue crack growth behavior of the MIG welded joint of 06Cr19Ni10 stainless steel. Materials 11(8), 1336 (2018)
Tagawa, T., Tahara, K., Abe, E., et al.: Fatigue properties of cast aluminium joints by FSW and MIG welding. Weld. Int. 28(1), 21–29 (2014)
Basak, S., Pal, T.K., Shome, M.: High-cycle fatigue behavior of MIG brazed galvanized DP600 steel sheet joint—Effect of process parameters. Int. J. Adv. Manuf. Technol. 82(5–8), 1197–1211 (2015)
Gaur, V., Enoki, M., Okada, T., et al.: A study on fatigue behavior of MIG-welded Al-Mg alloy with different filler-wire materials under mean stress. Int. J. Fatigue 107, 119–129 (2018)
D’Angelo, L., Nussbaumer, A.: Estimation of fatigue S-N curves of welded joints using advanced probabilistic approach. Int. J. Fatigue 97, 98–113 (2017)
Guan, X., Jha, R., Liu, Y.: Model selection, updating, and averaging for probabilistic fatigue damage prognosis. Struct. Saf. 33(3), 242–249 (2011)
Yang, J., He, J., Guan, X., et al.: A probabilistic crack size quantification method using in-situ Lamb wave test and Bayesian updating. Mech. Syst. Sig. Process. 78, 118–133 (2016)
He, J., Huo, H., Guan, X., et al.: A Lamb wave quantification model for inclined cracks with experimental validation. Chin. J. Aeronaut. (2020). https://doi.org/10.1016/j.cja.2020.02.010
Du, Y.-M., Ma, Y.-H., Wei, Y.-F., et al.: Maximum entropy approach to reliability. Phys. Rev. E 101(1), 012106 (2020)
He, J., Chen, J., Guan, X.: Lifetime distribution selection for complete and censored multi-level testing data and its influence on probability of failure estimates. Struct. Multidiscip. Optimiz. 62(1), 1–17 (2020)
Triay, M., Meister, E., Lefever, B., et al.: RCC-M code: recent evolutions and perspectives. In: Pressure Vessels and Piping Conference. American Society of Mechanical Engineers (2019)
Paris, P., Erdogan, F.: A critical analysis of crack propagation laws (1963)
Maier, H.R., Lence, B.J., Tolson, B.A., et al.: First-order reliability method for estimating reliability, vulnerability, and resilience. Water Resour. Res. 37(3), 779–790 (2001)
Xiang, Y., Liu, Y.: Application of inverse first-order reliability method for probabilistic fatigue life prediction. Probab. Eng. Mech. 26(2), 148–156 (2011)
Mazzoleni, M., Barontini, S., Ranzi, R., et al.: Innovative probabilistic methodology for evaluating the reliability of discrete levee reaches owing to piping. J. Hydrol. Eng. 20(5), 04014067 (2015)
U.S. Air Force, MIL-HDBK-1783B CHANGE 2: Engine Structural Integrity Program (ENSIP). Air Force Sustainment Center, Oklahoma City (2004)
Guan, X., Zhang, J., Zhou, S., et al.: Probabilistic modeling and sizing of embedded flaws in ultrasonic non-destructive inspections for fatigue damage prognostics and structural integrity assessment. NDT & E Int. 61, 1–9 (2014)
Guan, X., He, J., Rasselkorde, E.M., et al.: Probabilistic fatigue life prediction and structural reliability evaluation of turbine rotors integrating an automated ultrasonic inspection system. J. Nondestr. Eval. 33(1), 51–61 (2014)
Acknowledgement
The work in this study was supported by National Natural Science Foundation of China, Nos. 51975546, U1930403. The support is greatly acknowledged.
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Duan, X., Wang, X., Guan, X. (2021). Fatigue Reliability Assessment of Pipeline Weldments Subject to Minimal Detectable Flaws. In: Rizzo, P., Milazzo, A. (eds) European Workshop on Structural Health Monitoring. EWSHM 2020. Lecture Notes in Civil Engineering, vol 128. Springer, Cham. https://doi.org/10.1007/978-3-030-64908-1_59
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