Fatigue Life Prediction of the Rocket Engine’s Pipeline under Random Loads

Article Preview

Abstract:

Based on the random vibration theory and numerical analysis method, the paper presents a process of carrying out the fatigue life prediction for pipeline of a rocket engine under random excitation. The numerical analysis adopt the power spectrum density of acceleration as random loads. The material parameters of the simulation contains two straight lines in double logarithmic coordinate. The location of danger points is found and the root mean square stress, fatigue life of it is acquired in different excitation directions. The results show that the root of the ball head is the location of danger points, whose fatigue life is 3763 seconds. Furthermore, the location of danger points and its fatigue life obtained from numerical analysis are consistent with the test.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

126-132

Citation:

Online since:

March 2015

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2015 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Wang Lin etc, Estimation of fatigue life of pressure piping system under random excitations [J], J. Huazhong Univ. of Sci. &Tech (Nature Science Edition), 2003, 31(12): 100-10.

Google Scholar

[2] LI Chao etc, A approach based on power spectral density for fatigue life estimation [J]. Machine Design and Research, 2005, 4(21): 6-8.

Google Scholar

[3] D. Benasciutti, R. Tovo, Cycle distribution and fatigue damage assessment in broad-band non-Gaussian random processes [J], Probabilistic Engineering Mechanics, 2005, 20: 115-127.

DOI: 10.1016/j.probengmech.2004.11.001

Google Scholar

[4] Andrew Halfpenny. A frequency domain approach for fatigue life estimation from finite element analysis [J] In: International conference on damage assessment of structure, (1999).

Google Scholar

[5] Wang shuai , Li bailing, Jia liang, The fatigue damage research of space pipeline structures under uniaxial/multiaxial random vibration [J], Structure & environment engineering, 2012, 39(6): 36-41.

Google Scholar

[6] M. Paulus, A. Dasgupta and ED Habtour, Life estimation model of a cantilevered beam subjected to complex random vibration [J], fatigue fracture of engineering materials structure, 2012, 35: 1058-1070.

DOI: 10.1111/j.1460-2695.2012.01693.x

Google Scholar

[7] T. Dirlik, Application of computers in fatigue analysis. PhD thesis. UK: University of Warwick, (1985).

Google Scholar

[8] X. Pitoiset, A. Preumont, Spectral method for multiaxial random fatigue analysis of metallic structures [J], International Journal of Fatigue, 2002, 22: 541-550.

DOI: 10.1016/s0142-1123(00)00038-4

Google Scholar

[9] G. Petrucci , M. Di paola , B. Zuccarello, On the characterization of dynamic properties of random processes by spectral parameters [J], Journal of Applied Mechanics, 2000, 67: 519-526.

DOI: 10.1115/1.1312805

Google Scholar

[10] Zhen Gao, Torgeir Moan, Frequency-domain fatigue analysis of wide-band stationary Gaussian processes using a trimodal spectral formulation [J], International Journal of fatigue, 2008, 30: 1944-(1955).

DOI: 10.1016/j.ijfatigue.2008.01.008

Google Scholar

[11] C. Braccesi, F. Cianetti, G. Lori, D. Pioli, Evaluation of mechanical component fatigue behavior under random loads: Indirect frequency domain method [J], International Journal of Fatigue, 2014, 61: 141-150.

DOI: 10.1016/j.ijfatigue.2013.11.017

Google Scholar

[12] SH. Crandall, Random vibration. Cambridge, MA: MIT Press, (1958).

Google Scholar

[13] LD, Lutes, S. Sarkani, Stochastic analysis of structural and mechanical vibrations. Prentice-Hall, (1997).

Google Scholar

[14] SO. Rice, Mathematical analysis of random noise [J]. Bell Syst Tech, 1944, 23(3).

Google Scholar

[15] D. Benasciutti, R. Tovo, Comparison of spectral methods for fatigue analysis of broad-band Gaussian random processes [J], Probabilistic Engineering Mechanics, 2006, 21: 287-299.

DOI: 10.1016/j.probengmech.2005.10.003

Google Scholar