A theoretical and experimental approach to prognosis of fatigue crack growth behavior and determination of the remaining resource of elements of constructions under the influence of temperature and hydrogen is discussed in the paper. Kinetic fatigue fracture diagrams of austenitic steel of 10Kh15N27T3V2MR were experimentally built and analytically described at different temperatures in a neutral environment and in hydrogen. The threshold and critical values of the stress intensity factor (SIF) were found. The durability of a turbine disk was evaluated. It is found that hydrogen reduced the remaining resource of this structural element almost by 2-3 times.
To ensure the reliability and durability of structural elements, modern approaches require data characterizing the local stress-strain state of the material in risk zones. In order to predict the fracture resistance of structural elements, a theoretical-experimental method based on the damage accumulation model using the energy approach is proposed. One of the unique characteristics of the proposed approach is that it uses local parameters of the stress-strain state, which are determined using a highly accurate and easy-to-use noncontact method of optical–digital image correlation (ODIC). This can be used both in laboratory conditions and for structural elements under real operating conditions. The proposed method of plotting stress–strain curves makes it possible to determine the true stresses near the concentrators in structural elements under a complex load. Using these diagrams in calculations and the finite element method (FEM), a study of local strain not only of the surface, but also of the internal volumes of the material was carried out. The damage parameter is introduced as the ratio of the elastoplastic strain energy of the local volume to its critical value. It is confirmed that the damage of the sample material starts from its centre. It was established that the damage parameter in the centre of the sample is 25–35% higher than its value on the surface of the sample.
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