Particle identification and tracking method based on spherical harmonic function invariant

Abstract

The invention belongs to the geotechnical engineering miniature test field, and discloses a particle identification and tracking method based on a spherical harmonic function invariant; the method comprises the following steps: a, carrying out CT scanning for a particle sample original state and a deformation state so as to obtain each CT image maps; b, processing the CT image maps; c, using the spherical harmonic function to represent the three dimensional form of each particle in the CT image maps of the original state and deformation state; d, calculating a spherical harmonic function invariant 2-norm distance so as to match with the particles under two different states, thus identifying the particles. The method can effectively identify the sand particles in different loading phases ofa miniature mechanics test under the in situ X ray high precision CT scanning, thus accurately tracking motion behaviors of all sand particles; the method is wide in application scopes.

Description

technical field [0001] The invention belongs to the field of geotechnical engineering micro-tests, and more specifically relates to a particle identification and tracking method based on spherical harmonic function invariants. Background technique [0002] In recent years, with the in-depth study of the complex mechanical behavior of rock-soil media materials, more and more scholars have begun to pay attention to the microscopic soil mechanical behavior of soil. In this context, the discrete element method of advanced numerical simulation technology of rock and soil and the micro-soil mechanics test under in-situ X-ray high-precision computer tomography (CT) scanning have been developed rapidly. The loading process of soil is simulated by discrete element, Particles can be easily identified and tracked, and their motion behavior, such as the displacement and rotation of the particles, can be obtained. However, there are a lot of simplifications and assumptions in numerical ...

AI Technical Summary

Problems solved by technology

[0004] In view of the above defects or improvement needs of the prior art, the present invention provides a particle identification and tracking method based on spherical harmonic invariants, which characterizes the three-dimensional morphological characteristics of particles by introducing spherical harmonic invariants of particles, and then The second-order norm distances of spherical harmonic invariants in different states are compared to quantify the similarity between particle shapes, and then perform multi-scale matching of particles, thereby solving the problem of low particle recognition accuracy and applicability technical problem

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