Experimental Fatigue Crack Propagation Simulation by ANN of a Newly Developed Controlled Rolled Microalloyed Steel Plate

In this work, fatigue crack propagation life of a new micro alloyed steel plate under the influence of constant load ratio was simulated by using artificial neural network (ANN). Numerous methodologies such as cycle by cycle prediction, prediction by correlation and finite element methods have been proposed for simulating fatigue life [1]. However, few studies relate ANNs for modeling the fatigue crack growth propagation in materials particularly for micro alloyed steels technology. The applied ANNs simulation methodology showed great potential for simulating the experimental fatigue crack growth rate complex data set. In this case especially by interpolation within the trial tested range.