The application discloses a method for predicting rock
mass structural plane contact characteristics based on an
artificial neural network, and relates to the field of rock
mass structural plane contact state measurement, and comprises the following steps: step 1, determining the
uniaxial compression test of the
structural plane to be predicted, and obtaining the
contact condition of the structural plane by using pressure-sensitive paper; step 2, binarizing the obtained pressure-sensitive paper, packing the orthogonal one
square millimeter of pixels, and respectively calculating the contact
area ratio of each
square millimeter; step 3, setting a reference threshold value, and defining as contact if the reference threshold value exceeds the set value, and vice versa; and step 4, performing preliminary
processing on the
point cloud of the upper and lower plates of the rock
mass structural plane. The application estimates the
contact condition of the structural plane based on the
point cloud of the rock mass structural plane, the geometry and geometric parameters of the microconvex body on the structural plane can be more accurately described by using the
point cloud to describe the appearance of the structural plane, and the precision can be selected according to actual requirements, and the calculation efficiency is improved.