The growth characteristics of short fatigue cracks under axial loading were
investigated using specimens of the ferritic-martensitic steel F82H-mod. I
nterest focused on crack propagation due to coalescence, which proved to be
the dominant mechanism of crack growth. Crack propagation due to coalescen
ce under a certain loading state is strongly influenced by the microstructu
re of the material on the one hand and by the interaction of cracks on the
other. This study deals with an elasto-plastic fracture mechanics analysis
of two interacting cracks neglecting the microstructural influence. Finite
element calculations based on a Ramberg-Osgood model for the material prope
rties were performed to quantify the interaction of two cracks in terms of
an interaction function Y depending on the material and crack configuration
. Finally, a neural network was trained to determine the interaction functi
on for two cracks within the range of interest.