Global Trends in Machine Learning Technologies for Reinforced Concrete Structures
Abstract
Global Trends in Machine Learning Technologies for Reinforced Concrete Structures
Incoming article date: 23.06.2024The article provides a review and systematisation of works devoted to the application of machine learning for solving problems of research, calculation and design of reinforced concrete structures. It considers the aspects, which are relevant today, related to calculation, design, as well as assessment of the technical condition of objects with the help of various approaches that implement machine learning schemes, including deep learning, ensemble algorithms. It is shown that nowadays in the world construction science this area is rapidly developing and improving. Thus machine learning algorithms solve problems of prediction of design parameters, problems of identification of these or those parameters, defects, damages on the basis of classification algorithms and others. The materials presented in the article will allow specialists to choose the subject area of research more precisely and determine the directions of adaptation and improvement of their own developments in the field of machine learning.
Keywords: machine learning, reinforced concrete structures, regression equations, identification, approximation, artificial intelligence