The invention relates to the technical field of
geotechnical engineering intelligence, in particular to a multi-field
coupling intelligent triaxial test method and
system combined with
machine learning, and the method comprises the following steps: initializing a test device, and establishing a material parameter prior
distribution function; defining a target
test path and obtaining a
target control sequence; acquiring real-time
test data through a multi-source fusion sensing array, and preprocessing the real-time
test data to obtain multi-dimensional
feature fusion data; establishing an online parameter identification module to obtain real-time correction material parameters; establishing a heat-water-force multi-field
coupling prediction model to obtain an
optimal control sequence; acquiring latest
test data, and performing rolling optimization on the model to establish a lightweight control model; and generating an
intelligent control instruction to realize self-adaptive
intelligent control of the triaxial test. According to the invention, through combination with
machine learning, the spanning of the triaxial test from experience control to
intelligent control is realized, and an intelligent technical means is provided for the research of the multi-field
coupling characteristic of the geotechnical material.