DOI QR코드

DOI QR Code

Prediction of Crack Growth in 2124-7851 Al-Alloy Under Flight-Simulation Loading

비행하중하에서 2124-T851 알루미늄합금의 피로균열진전 예측

  • 심동석 (한양대학교 산업과학연구소) ;
  • 황돈영 (대한항공 한공기술연구원) ;
  • 김정규 (한양대학교 기계공학부)
  • Published : 2002.08.01

Abstract

In this study, to propose the prediction method of the crack growth under flight-simulation loading, crack growth tests are conducted on 2124-7851 aluminum alloy specimens. The prediction of crack growth under flight-simulation loading is performed by the stochastic crack growth model which was developed in previous study. First of all, to reduce the complex load history into a number of constant amplitude events, rainflow counting is applied to the flight-simulation loading wave. The crack growth, then, is predicted by the stochastic crack growth model that can describe the load interaction effect as well as the variability in crack growth process. The material constants required in this model are obtained from crack growth tests under constant amplitude loading and single tensile overload. The curves predicted by the proposed model well describe the crack growth behavior under flight-simulation loading and agree with experimental data. In addition, this model well predicts the variability of fatigue lives.

Keywords

References

  1. Elber, W., 1976, 'Equivalent Conatant-Amplitude Concept for Crack Growth under Spectrum Loading,' ASTM STP 595, pp. 236-250
  2. Hudson, C. M., 1981,'A Root-Mean-Square Approach for Predicting Fatigue Crack Growth under Random Loading,' ASTM STP 748, pp. 4152
  3. Elber, W., 1971, 'The Significance of Fatigue Crack Closure,' ASTM STP 486, pp. 230-242
  4. Schijve, Jaap, 1980, 'Prediction Methods for Fatigue Crack Growth in Aircraft Material,' ASTM STP 700, pp. 3 - 34
  5. Kim, C. Y. and Song, J. H., 1994, 'Fatigue Crack Closure and Growth Behavior under Random Loading,' Engineering Fracture Mechanics, Vol. 49, No. I, pp. 105-120 https://doi.org/10.1016/0013-7944(94)90115-5
  6. Newman, Jr., J. C., 1981, 'A Crack-Closure Model for Predicting Fatigue Crack Growth under Aircraft Spectrum Loading,' ASTM STP 748, pp. 54-84
  7. Kang, J. Y., Song, J. H. and Kim, C. Y., 2000, 'Automatic Determination of Crack Opening Loading under Random Loading by the Use of Neural Network,' Transaction of KSME(A), Vol. 24, No.9, pp. 2283-2291
  8. Johnson, W. S., 1981, 'Multi-Parameter Yield Zone Model for Predicting Spectrum Crack Growth,' ASTM STP 748, pp. 85-102
  9. Shim, D. S., Kim, K. B. and Kim, J. K., 2000, 'Fatigue Life Prediction for High Strength Al-alloy under Variable Amplitude Loading,' Transaction of KSME(A), Vol. 24, No.8, pp. 2074-2082
  10. Dominguez, J., Zapatero, J. and Pascual, J., 1997, 'Effect of Load Histories on Scatter of Fatigue Crack Growth in Aluminum Alloy 2024- T351 ,' Engineering Fracture Mechanics, Vol. 56 No. 1, pp. 65-76 https://doi.org/10.1016/S0013-7944(96)00074-4
  11. Standard Test Method for Measurement of Fatigue Crack Growth Rates,' ASTM E647-95
  12. 'Standard Practices for Cycle Counting In Fatigue Analysis,' ASTM E1049-85
  13. Ralph I. Stephens, Ali Fatemi, Robert R. Stephens, and Henry O. Fuchs, 2001, Metal Fatigue in Engineering, Willey-Interscience, 2nd edition, pp. 155-157
  14. Kim, J. K. and Shim, D. S., 1998, 'A Stochastic Analysis on Variation of Fatigue Crack Propagation due to Thickness Effect,' Transaction of KSME(A), Vol. 22, No.8, pp. 1523-1532
  15. Shim, D. S. and Kim, J. K., 1999, 'A Stochastic Analysis for Crack Growth Retardation Behavior and Prediction of Retardation Cycle Under Single Overload,' Transaction of KSME(A), Vol. 23, No.7, pp. 1164-1172

Cited by

  1. Fatigue Life and Stress Spectrum of Wing Structure of Aircraft vol.34, pp.9, 2010, https://doi.org/10.3795/KSME-A.2010.34.9.1185
  2. A Quantitative Analysis of ΔK Conversion Method for the Retardation Behavior of Fatigue Crack Growth in Varying Thickness of Al 2024-T3 Sheet Alloy vol.35, pp.11, 2011, https://doi.org/10.3795/KSME-A.2011.35.11.1415