Fatigue crack growth of a railway wheel steel and fatigue life prediction under spectrum loading conditions

Author(s):  
Reza Masoudi Nejad ◽  
Filippo Berto
2016 ◽  
Vol 69 ◽  
pp. 15-28 ◽  
Author(s):  
J.A.F.O. Correia ◽  
S. Blasón ◽  
A.M.P. De Jesus ◽  
A.F. Canteli ◽  
P.M.G.P. Moreira ◽  
...  

Author(s):  
Weicheng Cui ◽  
Fang Wang ◽  
Xiaoping Wang

Marine structures such as ships and offshore platforms are mostly made of metals and designed with damage tolerance. This design philosophy requires accurate prediction of fatigue crack growth under service conditions. Now more and more people have realized that only a fatigue life prediction method based on fatigue crack propagation (FCP) theory has the potential to explain various fatigue phenomena observed. However, it is not the case that any type of FCP theory can work. As a matter of fact, from the very fundamental question of fatigue crack driving forces to the more complicated fatigue crack growth rate expressions all are needed critical examination. In the past several years, the group led by the authors have made some efforts in developing a unified fatigue life prediction (UFLP) method for marine structures. By unified method the authors mean that the method should be able to explain all the observed fatigue phenomena. In this paper, an overview of these researches is carried out and our main research results are presented.


1989 ◽  
Vol 111 (4) ◽  
pp. 338-344 ◽  
Author(s):  
H. Alawi

Fatigue crack growth under random amplitude and sequence loading with peaks following the Rayleigh probability density function is simulated using the probabilistic model. Another attempt at fatigue life prediction under the above loads is made by converting random loads in to equivalent constant amplitude. Prediction results are compared with experimental findings. Empirical data for fatigue crack growth under random loads at different frequencies are compared with the results of prediction using the above techniques. Experimental results of three steels are used in this study to compare with the findings of the above prediction techniques. These steels are AISI 1018, AISI 4340 and stainless pH 17-7. It is seen that the probabilistic model produces reliable results. It conservatively predicts fatigue crack growth when no delay mechanism to retard crack growth is introduced.


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