Abstract
A general method and procedure of fatigue reliability and life assessment of steam turbines using ultrasonic inspections is presented in this chapter. The basic structure of an automated ultrasonic inspection system using in turbine surface engineering is briefly introduced. Using the inspection information, a probabilistic model is developed to quantify uncertainties from flaw sizing and model parameters. The uncertainty from flaw sizing is described using a probability of detection model which is based on a classical log-linear model coupling the actual flaw size with the ultrasonic inspection reported size. The uncertainty from model parameters is characterized using Bayesian parameter estimation from fatigue testing data. A steam turbine rotor example with realistic ultrasonic inspection data is presented to demonstrate the overall method. Calculations and interpretations of assessment results based on risk recommendations for industrial applications are also discussed.
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References
Abbasi, W., & Metala, M. (2008). Recent advances in NDE technologies for turbines and generators. In 17th World Conference on Nondestructive Testing.
Achenbach, J. (2000). Quantitative nondestructive evaluation. International Journal of Solids and Structures, 37(1), 13–27.
Adams, R., & Bischof, L. (1994). Seeded region growing. IEEE Transactions on Pattern Analysis and Machine Intelligence, 16(6), 641–647.
Berens, A. P. (1989). NDE reliability data analysis. In: ASM Handbook (vol. 17, 9th edn., pp. 689–701). ASM International.
Billinton, R., & Allan, R. (1983). Reliability evaluation of engineering systems: concepts and techniques. New York: Plenum Press.
Deng, W., Shark, L., Matuszewski, B., Smith, J., & Cavaccini, G. (2004). CAD model-based inspection and visualisation for 3D non-destructive testing of complex aerostructures. Insight-Non-Destructive Testing and Condition Monitoring, 46(3), 157–161.
Drinkwater, B., & Wilcox, P. (2006). Ultrasonic arrays for non-destructive evaluation: a review. NDT and E International, 39(7), 525–541.
Freudenthal, A. (1977). The scatter factor in the reliability assessment of aircraft structures. Journal of aircraft, 14(2), 202–208.
Geng, R. (2006). Modern acoustic emission technique and its application in aviation industry. Ultrasonics, 44, e1025–e1029.
Georgiou, G. (2006). Probability of Detection (POD) curves: derivation, applications and limitations. Technical Report 454, Jacobi Consulting Limited, London, UK.
Guan, X., Zhang, J., Kadau, K., & Zhou, S. K. (2013). Probabilistic fatigue life prediction using ultrasonic inspection data considering equivalent initial flaw size uncertainty. In D. O. Thompson, & D. E. Chimenti (Eds.), AIP Conference Proceedings (vol. 1511, pp. 620–627). AIP.
Guan, X., Zhang, J., Rasselkorde, E. M., Abbasi, W. A., & Kevin Zhou, S. (2014). Material damage diagnosis and characterization for turbine rotors using three-dimensional adaptive ultrasonic NDE data reconstruction techniques. Ultrasonics, 54(2), 516–525.
Kern, T., Ewald, J., & Maile, K. (1998). Evaluation of NDT-signals for use in the fracture mechanics safety analysis. Materials at High Temperatures, 15(2), 107–110.
Krautkrämer, J. (1959). Determination of the size of defects by the ultrasonic impulse echo method. British Journal of Applied Physics, 10(6), 240–245.
Rubinstein, R., & Kroese, D. (2007). Simulation and the Monte Carlo method (vol. 707). Wiley-interscience.
Schneider, C., & Rudlin, J. (2004). Review of statistical methods used in quantifying NDT reliability. Insight-Non-Destructive Testing and Condition Monitoring, 46(2), 77–79.
Schwant, R., & Timo, D. (1985). Life assessment of general electric large steam turbine rotors. In Life assessment and improvement of turbo-generator rotors for fossil plants (pp. 1–8). New York: Pergamon Press.
Shih, T., & Clarke, G. (1979). Effects of temperature and frequency on the fatigue crack growth rate properties of a 1950 vintage CrMoV rotor material. In Fracture Mechanics: Proceedings of the Eleventh National Symposium on Fracture Mechanics (vol. 700, p. 125). ASTM International.
Simola, K., & Pulkkinen, U. (1998). Models for non-destructive inspection data. Reliability Engineering & System Safety, 60(1), 1–12.
Sposito, G., Ward, C., Cawley, P., Nagy, P., & Scruby, C. (2010). A review of non-destructive techniques for the detection of creep damage in power plant steels. NDT and E International, 43(7), 555–567.
Tang, W. (1973). Probabilistic updating of flaw information(flaw prediction and control in welds). Journal of Testing and Evaluation, 1, 459–467.
U.S. Energy Information Administration. (2013). Annual energy outlook 2013. Retrieved from http://www.eia.gov.
U.S. Nuclear Regulatory Commission. (1987). Standard review plan for the review of safety analysis reports for nuclear power plants, LWR edn. Washington, D.C.: US Nuclear Regulatory Commission, Office of Nuclear Reactor Regulation.
Zheng, R., & Ellingwood, B. (1998). Role of non-destructive evaluation in time-dependent reliability analysis. Structural Safety, 20(4), 325–339.
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Guan, X., Rasselkorde, E.M., Abbasi, W.A., Zhou, S.K. (2016). Turbine Fatigue Reliability and Life Assessment Using Ultrasonic Inspection: Data Acquisition, Interpretation, and Probabilistic Modeling. In: Pham, H. (eds) Quality and Reliability Management and Its Applications. Springer Series in Reliability Engineering. Springer, London. https://doi.org/10.1007/978-1-4471-6778-5_14
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DOI: https://doi.org/10.1007/978-1-4471-6778-5_14
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