Fatigue analysis of concrete structures using AI with the introduction of fractal corrosion detection

Abstract

The article is devoted to the study of fatigue of concrete structures using modern artificial intelligence technologies. The main attention is paid to the use of machine vision for the fractal analysis of reinforced concrete structures. The article presents models optimized for operation in machine vision conditions, which makes it possible to detect signs of corrosion and fatigue with high accuracy and speed. A feature of the presented method is the use of a unique method of infinite fractal discrimination, which allows you to analyze the concrete structure in detail at the micro level. This method reveals unique features and heterogeneities in the structure of the material, which contributes to a more accurate prediction of its behavior under various influences. The application of this approach can become revolutionary in the field of diagnostics and maintenance of infrastructure facilities.