This invention belongs to the field of sensor and
machine learning technology. It proposes a
simulation test
system and method for the mechanical properties of rock joints based on the principle of equivalent
body force field. The main components include: constructing a geomechanical
similarity model based on the principle of equivalent
body force field, including a base and a rock
mass physical model. When the base moves relative to the interface of the rock
mass physical model, the friction between the base and the bottom surface of the rock
mass physical model generates uniformly distributed
shear stress, which generates equivalent
body force intensity inside the rock mass physical model; collecting multidimensional
sensing data when the base moves relative to the interface of the rock mass physical model; automatically identifying the rock mass joint extension trajectory based on the multidimensional
sensing data and using an improved U-Net
machine learning model; obtaining
displacement field data through an improved particle image velocimetry combined with an
optical flow algorithm; using a
Bayesian inference inversion model to invert the mechanical parameters of the
joint surface; and evaluating the uncertainty of the inversion results using the
Markov chain Monte Carlo method.