Synergy of Numerical Methods and Intelligent Technologies in Diagnostics of Construction Sites

Abstract

The purpose of this work is to show the possibilities and prospects of using intelligent technologies together with numerical methods in diagnostics of construction objects, taking into account their real state. Currently, artificial intelligence is increasingly included in modern FEM software packages to speed up calculations, improve accuracy and optimize modeling processes, namely: machine learning, neural networks, fuzzy logic, genetic algorithms. The integration of the finite element method and artificial intelligence transforms engineering analysis, making design more innovative and efficient, reducing development time and increasing the accuracy of results and has already been implemented in some software packages. Examples of how the synergy of intelligent technologies (IT) and numerical methods (NM) is applied in practice are considered.