Application of Artificial Intelligence Algorithm in Analysis of Tunnel Geotechnical Mechanical Parameters

Abstract

In recent years, with the continuous development of civil engineering, the analysis of geotechnical mechanical parameters is becoming more and more important. With the rapid development of computer technology, the numerical theory and method of geotechnical engineering are becoming more and more mature. Geotechnical mechanical parameters include soil mechanical parameters and rock mechanical parameters. On this basis, the mechanical parameters of soil are divided into Poisson’s ratio, elastic modulus, subgrade coefficient, bulk elastic modulus, shear strength and shear modulus. Rock mechanical parameters mainly include Poisson’s ratio, elastic modulus, subgrade coefficient, bulk elastic modulus, shear strength and shear modulus of rock. Of course, with the development of science and technology, more and more artificial intelligence algorithms are applied to the analysis of geotechnical mechanical parameters, which brings a lot of convenience to the research in this field. This paper aims to improve the problems in the analysis of tunnel geotechnical parameters as much as possible by studying the intelligent algorithm and the tunnel geotechnical parameter analysis method model.