Development of an empirical model for damage degree assessment of steel specimens based on the results of acoustic emission signal flow statistical processing

Abstract

The study is devoted to acoustic emission (AE) method application for monitoring the state of structural materials at the inelastic and ultimate deformation stages. The possibilities of using the standard AE signal parameters recorded at the inelastic and ultimate deformation stages to assess the damage degree of steel specimens were investigated. It was shown that such parameters as the maximum amplitude of the recorded AE signals and their AE activity did not have a clear correlation with the damage degree of products made of structural steel and alloys. This makes it difficult to apply standard methods for assessing the damage degree of structural steels. The feasibility of monitoring the state of damage of 30KhGSA alloyed steel at the inelastic and ultimate stages by the evaluation of partial activity of the high-energy AE signals weight content was presented. The Kolmogorov-Smirnov criterion was used to separate the processes of ductile and brittle fracture.