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Three reliability methods for fatigue crack growth

โœ Scribed by Wing Kam Liu; Yijung Chen; Ted Belytschko; Yuan Jie Lua


Publisher
Elsevier Science
Year
1996
Tongue
English
Weight
973 KB
Volume
53
Category
Article
ISSN
0013-7944

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โœฆ Synopsis


in this paper, three reliability methods (1) a first order reliability method (FORM) based on the total derivative method (TDM), (2) FORM based on the Lagrange multiplier formulation (LMF) and (3) a Monte Carlo Simulation (MCS) with pseudo-exact sampling technique are applied to curvilinear fatigue crack growth problems. The crack can follow an arbitrary path which is determined by a crack direction law. A boundary integral element method is used to determine the mechanical response. With the help of the pseudo-exact sampling technique used in MCS, we are able to determine an extremely low probability of failure as low as 10-6 with high accuracy. A comparison of the three methods shows that the LMF is the most efficient method for the general fatigue crack growth reliability problems. For the class of problems we considered, LMF agrees very well with Monte Carlo simulation, indicating that it is quite accurate.


๐Ÿ“œ SIMILAR VOLUMES


Markov models for fatigue crack growth
โœ M.J. Newby ๐Ÿ“‚ Article ๐Ÿ“… 1987 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 413 KB

A review of several statistical and probabilistic approaches to the problem of fatigue crack growth shows that many Markov models are equivalent in that they express the probability density of the crack length at time t as solutions of the Kolmogorov, or Fokker-Plank, equations. Further, it is shown