Comparative Study of Neural Network–Based Models for Fatigue Crack Growth Predictions of Short Cracks

2021 ◽  
Author(s):  
S. Himmiche ◽  
S. N. S. Mortazavi ◽  
A. Ince
Keyword(s):  
Neural Network ◽  
Fatigue Crack ◽  
Fatigue Crack Growth ◽  
Comparative Study ◽  
Crack Growth ◽  
Short Cracks

A Method for the Analysis of the Growth of Short Fatigue Cracks

1995 ◽  
Vol 117 (4) ◽  
pp. 408-411 ◽  
Author(s):  
A. J. McEvily ◽  
Y.-S. Shin
Keyword(s):  
Experimental Data ◽  
Fatigue Crack ◽  
Fatigue Crack Growth ◽  
Crack Growth ◽  
Fatigue Cracks ◽  
Material Constant ◽  
Plastic Zone Size ◽  
Surface Cracks ◽  
Zone Size ◽  
Short Cracks

A method for the analysis of the fatigue crack growth rate for short cracks has been developed and is applied to the case of fatigue crack growth of short surface cracks in a 1045 carbon steel. The method entails three modifications to standard LEFM procedures. These modifications include the use of a material constant to bridge between smooth and cracked specimen behavior, consideration of the plastic zone size to crack length ratio, and incorporation of the development of crack closure. Comparisons are made between calculations based upon this approach and experimental data.

Sign in / Sign up

Export Citation Format

Share Document