Probabilistic Fatigue Life Prediction and Structural Reliability Evaluation of Turbine Rotors Integrating an Automated Ultrasonic Inspection System
Source abstract
Abstract
The paper presents a general method and procedure for fatigue reliability assessment integrating automated ultrasonic non-destructive inspections. The basic structure of an automated ultrasonic inspection system is presented. Fatigue reliability assessment methodology is developed using uncertainty quantification models for detection, sizing, and fatigue model parameters. The probability of detection model is based on a classical log-linear model coupling the actual flaw size with the ultrasonic inspection reported size. Using probabilistic modeling, the distribution of the actual flaw size is derived. Reliability assessment procedure using ultrasonic inspection data is suggested. 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 given.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Non-Destructive Testing Techniques · Fatigue and fracture mechanics · Engineering Diagnostics and Reliability
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (36)
Show source-provided references
1. Leĭzerovich, A.: In: Steam Turbines for Modern Fossil-Fuel Power Plants, pp. 3–8. The Fairmont Press, Inc., Lilburn (2008)
2. US Energy Information Administration: Annual energy outlook 2012 (2012). http://www.eia.gov
3. World Nuclear Association: Nuclear power in China (2012). http://www.world-nuclear.org
4. International Energy Agency: World Energy Outlook 2012. International Energy Agency. France (2002)
5. US Energy Information Administration: Projected retirements of coal-fired power plants (2013). http://www.eia.gov . Accessed: 10/01/2013
6. Drinkwater, B., Wilcox, P.: Nondestruct. Test. Eval. Int. 39(7), 525 (2006)
7. Deng, W., Shark, L., Matuszewski, B., Smith, J., Cavaccini, G.: Insight 46(3), 157 (2004)10.1784/insi.46.3.157.55515 ↗
8. Sposito, G., Ward, C., Cawley, P., Nagy, P., Scruby, C.: Nondestruct. Test. Eval. Int. 43(7), 555 (2010)
9. Guan, X., Jha, R., Liu, Y.: Struct. Saf. 33(3), 242 (2011)10.1016/j.strusafe.2011.03.006 ↗
10. Abbasi, W., Metala, M.: In: 17th World Conference on Nondestructive Testing (2008)
11. Adams, R., Bischof, L.: IEEE Trans. Pattern Anal. Mach. Intell. 16(6), 641 (1994)10.1109/34.295913 ↗
12. Krautkrämer, J.: Br. J. Appl. Phys. 10(6), 240 (1959)10.1088/0508-3443/10/6/302 ↗
13. Kern, T., Ewald, J., Maile, K.: Mater. High Temp. 15(2), 107 (1998)10.1080/09603409.1998.11689587 ↗
14. Freudenthal, A.: J. Aircr. 14(2), 202 (1977)10.2514/3.44583 ↗
15. Berens, A.P., Hovey, P.W., Skinn, D.A.: Risk analysis for aging aircraft fleets. Volume 1: Analysis. Tech. rep., University of Dayton Research Institute (1991)10.1007/978-3-642-84364-8_3 ↗
16. Hovey, P., Meeker, W.Q., Li, M.: In: AIP Conference Proceedings, vol. 1096, pp. 1832–1839 (2009)10.1063/1.3114181 ↗
17. Li, M., Meeker, W.Q., Hovey, P.: Res. Nondestruct. Eval. 23(2), 104 (2012)10.1080/09349847.2011.654380 ↗
18. Leemans, D.V.: Mater. Eval. 62(8), 855 (2004)
19. Simola, K., Pulkkinen, U.: Reliab. Eng. Syst. Saf. 60(1), 1 (1998)10.1016/S0951-8320(97)00087-2 ↗
20. Achenbach, J.: Int. J. Solids Struct. 37(1), 13 (2000)10.1016/S0020-7683(99)00074-8 ↗
21. Berens, A.P.: In: ASM Handbook, 9th edn., vol. 17, pp. 689–701. ASM International, ACM International (1989)
22. Schneider, C., Rudlin, J.: Insight 46(2), 77 (2004)10.1784/insi.46.2.77.55549 ↗
23. Rosell, A., Persson, G.: In: 4th International Symposium on NDT in Aerospace, Augsburg, Germany (2012)
24. Gregory, P.: Bayesian Logical Data Analysis for the Physical Sciences: A Comparative Approach with Mathematica Support. Cambridge University Press. Cambridge (2005)10.1017/CBO9780511791277 ↗
25. Zheng, R., Ellingwood, B.: Struct. Saf. 20(4), 325 (1998)10.1016/S0167-4730(98)00021-6 ↗
26. Georgiou, G.: Probability of detection (POD) curves: derivation, applications and limitations. Tech. rep. 454, Jacobi Consulting Limited, London, UK (2006)
27. Tang, W.: J. Test. Eval. 1, 459 (1973)10.1520/JTE10051J ↗
28. Billinton, R., Allan, R.: Reliability Evaluation of Engineering Systems: Concepts and Techniques. Plenum, New York (1983)10.1007/978-1-4615-7728-7 ↗
29. Rubinstein, R., Kroese, D.: Simulation and the Monte Carlo Method, vol. 707. Wiley-Interscience, New York (2007)10.1002/9780470230381 ↗
30. Schwant, R., Timo, D.: In: Life Assessment and Improvement of Turbo-Generator Rotors for Fossil Plants, pp. 1–8. Pergamon, New York (1985)
31. Shih, T., Clarke, G.: In: Fracture Mechanics: Proceedings of the Eleventh National Symposium on Fracture Mechanics, vol. 700, p. 125. ASTM International, Material Park (1979)10.1520/STP34910S ↗
32. Guan, X., Zhang, J., Kadau, K., Zhou, S.K.: In: Thompson, D.O., Chimenti, D.E. (eds.) AIP Conference Proceedings, vol. 1511, pp. 620–627 (2013)
33. Guan, X., Liu, Y.: Bayesian Analysis for Fatigue Damage Prognostics and Remaining Useful Life Prediction. Taylor & Francis, New York (2011)
34. Norton, J.D.: Philos. Sci. 75(1), 45 (2008)10.1086/587822 ↗
35. Marshall, W.: An Assessment of the Integrity of PWR Pressure Vessels: Report by a Study Group Under the Chairmanship of W. Marshall. UK Atomic Energy Authority, London (1982)
36. Standard review plan for the review of safety analysis reports for nuclear power plants, LWR edn. US Nuclear Regulatory Commission, Office of Nuclear Reactor Regulation, Washington (1987)