Abramov A.A. 1
Orekhova E. E. 1
Andreev V.V. 1
1 Nizhny Novgorod State Technical Universiry n.a. R.E. Alekseev
Fatigue of materials changes the mechanical and physical properties of the material under the action of long cycles of time-varying stresses and strains. Changing the state of the material in the process of fatigue affects its mechanical properties, macrostructure, microstructure and substructure. These changes occur in stages and depend on the initial properties of the stress state, loading history and influence of the environment , as well as many other factors. The study of this phenomenon , forecasting of fatigue process has an important task for decades. Building a model to predict such processes based on artificial neural networks (ANN) gave a big push in the task of finding the limits of endurance of metals and alloys, as well as other materials.