Transactions of the Korean Society of Mechanical Engineers A (대한기계학회논문집A)

The Korean Society of Mechanical Engineers (대한기계학회)
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A Stochastic Analysis in Steam Turbine Blade Steel Using Monte Carlo Simulation

몬테카를로 시뮬레이션을 이용한 증기 터빈블레이드재의 확률론적 해석

  • Published : 2002.11.01
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Abstract

In this study, the failure probability of the degraded LP turbine blade steel was performed using the Monte Carlo simulation to apply variation of applied stress and strength. For this purpose, applied stress under the service condition of steady state was obtained by theoretical stress analysis and the maximum Von-Mises stress was 219MPa. The fatigue strength under rotating-bending load was evaluated by the staircase method. Furthermore, 3-parameter Weibull distribution was found to be most appropriate among assumed distributions when the probabilistic distributions of tensile and fatigue strength were determined by the proposed analysis. The failure probability with various loading conditions was derived from the strength-stress interference model and the characteristic factor of safety was also estimated.

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References

  1. KEPCO Power Reseach Institude, 1997, ' The Techanical Report of Reliability in Turbine Blade (in KOREA),' pp. 11 -19
  2. Hyo-Jin Kim, 1998,' Technique of Life Assessment for Extending Design Life of Turbine,' Proceedings of the KSME 1998 Material & Fracture Part I Meeting(in KOREA), pp. 5 -10
  3. Congleton J. and Chen W., 1990,' The Fatigue Life of a 13%Cr Turbine Blade Steel,' Int. J. of Fatigue, Vol. 12, pp. 91-98 https://doi.org/10.1016/0142-1123(90)90678-8
  4. Vyas N. S. and Sidharth, Rao J. S., 1997, 'Dynamic Stress Analysis and a Fracture Mechanics approach to Life Prediction of Turbine Blades,' Mech. Mach. Theory, Vol. 32, No.4, pp. 511-527 https://doi.org/10.1016/S0094-114X(96)00067-5
  5. Thauvin G. and Vittement B., 1996,' Improvement of Fatigue Limit in Steam Turbine Blade,' Proceedings of the Sixth International Fatigue Congress, Fatigue 96, Vol. 2, pp. 1171-1176
  6. John R., et al.. 1996, Metals Handbook Ninth Edition Vol. 8 Mechanical Testing, American Society for Metals, pp. 701-706
  7. Kerrebrock J. L., 1989, Aircraft Engines and Gas Turbines, The Massachusetts Institute of Technology, pp. 189-195
  8. Grant J., Hopkinson D., et al. 1988, Titanium Steam Turbine Blading, Workshop Proceedings Palo Alto, California 9 - 10 November, EPRI ER - 6538 prepared for the Electric Power Research Institute, pp. 149-168
  9. Japan Society of Mechanical Engineers, 1994, 統計的疲勞試驗方法, JSME S 002, pp. 8-45
  10. Zhao Y.-X. and Gao Q., Wang J-N., 2000, 'An Approach for Determining an Appropriate assumed Distribution of Fatigue Life under Limited DATA,' Reliability Engineering and System Safety, Vol. 12, pp. 1-7 https://doi.org/10.1016/S0951-8320(99)00036-8
  11. Zhao Y. X., Gao Q. and Sun X. F., 1998,' A Statistical Investigation of The Fatigue Lives of Q235 Steel-Welded Joints,' Fatigue & Fracture of Engineering Materials & Structures, Vol. 27, pp. 781-790
  12. Freudenthal, A. M., 1947,' The Safety of Structures,' Transactions of ASCE Vol. 112, pp. 125 -180
  13. Abernethy, R. B., 1996, The New Weibull Handbook, 2nd Edition, SAE Professional Development, pp. 2-7
  14. Shu H. D. and Ming O. W., 1992, Reliability Analysis in Engineering Applications, Van Nostrand Reinhold, pp. 22 - 24
  15. Haldar A. and Mahadevan S., 2000, Probability, Reliability, and Statistical Methods in Engineering Design, John Wiley & Sons, Inc., pp. 250-261
  16. Dowling, N. E., 1993, Mechanical Behavior of Materials, Prentice-Hall International Editions, pp. 444-450
  17. Kececioglu D., 1993, Reliability and Life Testing Handbook, Vol. 1, Prentice-Hall International Editions, pp. 373-463

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