0
RESEARCH PAPERS

Probabilistic Analysis of Fatigue Crack Propagation Under Random Loading

[+] Author and Article Information
W.-F. Wu, C. S. Shin, J.-J. Shen

Department of Mechanical Engineering, National Taiwan University, Taipei, Taiwan 10764, R.O.C.

J. Pressure Vessel Technol 116(2), 216-225 (May 01, 1994) (10 pages) doi:10.1115/1.2929579 History: Received April 10, 1992; Revised October 13, 1993; Online June 17, 2008

Abstract

In order to predict the fatigue crack growth curve under random loading, an analytical model is proposed in this paper. In addition to the mean crack growth curve, the model also considers the statistical variation of the crack growth curves under the same nature of random loading, as well as the material reliability after certain loading cycles are applied. To check the applicability of the prediction model, several fatigue experiments are performed. After comparing the analytical result with the experimental result, the following conclusions are drawn. (i) Under the same mean value and standard deviation for the stress amplitudes, the fatigue crack growth curves are influenced by the probability density function of the stresses. (ii) An “equivalent constant loading” and a crack closure model lead to better prediction than any other model. (iii) The variation of the crack growth curves can be predicted accurately for shorter crack lengths and conservatively for longer crack lengths. (iv) The prediction of the statistical variation can be improved by modifying the definition of the equivalent constant loading. (v) Fatigue reliability can be reasonably estimated. The foregoing conclusions can be taken into consideration in the design of pressure vessels which are frequently subjected to transients of random nature.

Copyright © 1994 by The American Society of Mechanical Engineers
Your Session has timed out. Please sign back in to continue.

References

Figures

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In