High cycle fatigue life prediction and reliability analysis of aeroengine blades

Junhong Zhang , Jiewei Lin , Guichang Zhang , Hai Liu

Transactions of Tianjin University ›› 2012, Vol. 18 ›› Issue (6) : 456 -464.

PDF
Transactions of Tianjin University ›› 2012, Vol. 18 ›› Issue (6) : 456 -464. DOI: 10.1007/s12209-012-1785-7
Article

High cycle fatigue life prediction and reliability analysis of aeroengine blades

Author information +
History +
PDF

Abstract

Based on the nonlinear continuum damage model (CDM) developed by Chaboche, a modified model for high cycle fatigue of TC4 alloy was proposed. Unsymmetrical cycle fatigue tests were conducted on rod specimens at room temperature. Then the material parameters needed in the CDM were obtained by the fatigue tests, and the stress distribution of the specimen was calculated by FE method. Compared with the linear damage model (LDM), the damage results and the life prediction of the CDM show a better agreement with the test and they are more precise than the LDM. By applying the CDM developed in this study to the life prediction of aeroengine blades, it is concluded that the root is the most dangerous region of the whole blade and the shortest life is 58 211 cycles. Finally, the Cox proportional hazard model of survival analysis was applied to the analysis of the fatigue reliability. The Cox model takes the covariates into consideration, which include diameter, weight, mean stress and tensile strength. The result shows that the mean stress is the only factor that accelerates the fracture process.

Keywords

life prediction / reliability / continuum damage model / survival analysis / Cox proportional hazard model / aeroengine blade

Cite this article

Download citation ▾
Junhong Zhang, Jiewei Lin, Guichang Zhang, Hai Liu. High cycle fatigue life prediction and reliability analysis of aeroengine blades. Transactions of Tianjin University, 2012, 18(6): 456-464 DOI:10.1007/s12209-012-1785-7

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Zhang D. Y., Hong J., Ma Y. H., et al. A probability method for prediction on high cycle fatigue of blades caused by aerodynamic loads[J]. Advances in Engineering Software, 2011, 42(12): 1059-1073.

[2]

Infante V., Silva J. M. Failures analysis of compressor blades of aeroengines due to service[J]. Engineering Failure Analysis, 2009, 16(4): 1118-1125.

[3]

Golden P. J., Calcaterra J. R. A fracture mechanics life prediction methodology applied to dovetail fretting[J]. Tribology International, 2006, 39(10): 1172-1180.

[4]

Kermanpur A., Sepehri A. H., Ziaei R. S., et al. Failure characterization of Ti6Al4V gas turbine compressor blades[C]. Proceedings of the Materials Characterization 2007 Conference, 2007, Bologna, Italy: Wessex Institute of Technology 383-392.

[5]

Miner M. A. Cumulative damage in fatigue[J]. Journal of Applied Mechanics, 1945, 67, A159-A164.

[6]

Fatemi A., Yang L. Cumulative fatigue damage and life prediction theories: A survey of the state of the art for homogeneous materials[J]. International Journal of Fatigue, 1998, 20(1): 9-34.

[7]

Kachanov L. M. Time of the rupture process under creep conditions[J]. Russian Chemical Bulletin, 1958, 8, 26-31.

[8]

Rabotnov Y. N. On the equations of state for creep[J]. Progress in Applied Mechanics, 1963, 178(1): 307-315.

[9]

Marco S. M., Starkey W. L. A concept of fatigue damage[J]. Trans ASME, 1954, 76, 627-632.

[10]

Chaboche J. L., Lesne P. M. A non-linear continuous fatigue damage model[J]. Fatigue & Fracture of Engineering Materials & Structures, 1988, 11(1): 1-17.

[11]

Shang D. G., Yao W. X. A non-linear damage cumulative model for uniaxial fatigue[J]. International Journal of Fatigue, 1999, 21(2): 187-194.

[12]

Lin J. W., Zhang J. H., Zhang G. C., et al. Aero-engine blade fatigue analysis based on nonlinear continuum damage model using neural networks[J]. Chinese Journal of Mechanical Engineering, 2012, 25(2): 338-345.

[13]

Cheng G., Plumtree A. A fatigue damage accumulation model based on continuum damage mechanics and ductility exhaustion[J]. International Journal of Fatigue, 1998, 20(7): 495-501.

[14]

Dattoma V., Giancane S., Nobile R., et al. Fatigue life prediction under variable loading based on a new non-linear continuum damage mechanics model[J]. International Journal of Fatigue, 2006, 28(2): 89-95.

[15]

Brown M. W., Miller K. J. A theory for fatigue failure under multiaxial stress-strain condition[J]. Proceedings of the Institution of Mechanical Engineers, 1973, 187(1): 745-755.

[16]

Shang D. G., Wang D. J. A new multiaxial fatigue damage model based on the critical plane approach[J]. International Journal of Fatigue, 1998, 20(3): 241 245

[17]

Xue X. F., Feng Y. W. Research on the plane multiple cracks stress intensity factors based on stochastic finite element method[J]. Chinese Journal of Aeronautics, 2009, 22(3): 257 261

[18]

Berto F., Lazzarion P. Fatigue strength of structural components under multi-axial loading in terms of local energy density averaged on a control volume[J]. International Journal of Fatigue, 2011, 33(8): 1055-1065.

[19]

Kermanpur A., Sepehri A. H., Ziaei R. S., et al. Failure analysis of Ti6Al4V gas turbine compressor blades[J]. Engineering Failure Analysis, 2008, 15(8): 1052-1064.

[20]

Oakley S. Y., Nowell D. Prediction of the combined highand low-cycle fatigue performance of gas turbine blades after foreign object damage[J]. International Journal of Fatigue, 2007, 29(1): 69-80.

[21]

Hou J. F., Wicks B. J., Antoniou R. A. An investigation of fatigue failures of turbine blades in a gas turbine engine by mechanical analysis[J]. Engineering Failure Analysis, 2002, 9(2): 201-211.

[22]

Marin J. Interpretation of fatigue strength for combined stresses. In: Proceedings of International Conference on Fatigue Metals. London, 1956. 184–192.

[23]

Helsen K., David C. S. Analyzing duration times in marketing: Evidence for the effectiveness of hazard rate models[J]. Marketing Science, 1993, 11(3): 395-414.

[24]

Li S. Survival analysis[J]. Marketing Research, 1995, 7(8): 17-23.

[25]

Cox D. R. Regression models and life-tables[J]. Journal of Royal Statistical Society(Series B), 1972, 34(2): 187-220.

[26]

Meneghetti G., Susmel R. High-cycle fatigue crack paths in specimens having different stress concentration features[J]. Engineering Failure Analysis, 2007, 14(4): 656-672.

[27]

Papadopoulos I. V. Critical plane approaches in high-cycle fatigue: On the definition of the amplitude and mean value of the shear stress acting on the critical plane[J]. Fatigue & Fracture of Engineering Materials & Structures, 1998, 21(3): 269-285.

[28]

Susmel L., Tovo R., Lazzarin P. The mean stress effect on the high-cycle fatigue strength from a multiaxial fatigue point of view[J]. International Journal of Fatigue, 2005, 27(8): 928-943.

[29]

Lin J. W., Zhang J. H., Zhang G. C., et al. Study on fatigue damage of aero-engine blade based on non-linear continuum damage model[J]. Journal of Mechanical Engineering, 2010, 46(18): 66-70.

[30]

Shang D. G., Yao W. X. Study on nonlinear continuous damage model for uniaxial fatigue[J]. Acta Aeronautica et Astronautica Sinica, 1998, 19(6): 8-17.

AI Summary AI Mindmap
PDF

110

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/