Bulk solid shear characteristic evolution law research method based on image recognition

Abstract

The invention discloses a bulk solid shear characteristic evolution law research method based on image recognition, which comprises the following steps: determining the size of a shear box according to the particle size grading of a bulk solid material to be researched, and modifying a front panel of the shear box into a transparent panel; filling the modified shear box with the to-be-studied discrete material, covering the modified shear box with an upper pressing plate and a sliding pressurizing device, and performing a discrete shear test on the to-be-studied discrete material; performing image acquisition and recording on the shearing process of the to-be-studied discrete material filled in the shear box in real time in the discrete material shear test process through a front panel of the modified shear box by adopting image recognition equipment; and based on the recorded image of the shearing process, carrying out quantitative characterization on the shearing characteristic of the to-be-studied discrete material. According to the method, a new method is developed for research in the field of discrete solids, and theoretical support is provided for safety research of various discrete solids.

Description

technical field [0001] The invention relates to the technical field of bulk mechanics research, in particular to a method for researching the evolution law of bulk shear properties based on image recognition. Background technique [0002] Bulk system is the most common phenomenon in life, and it is also a common system in engineering. The instability process is shear failure. Exploring the mechanical properties and motion characteristics of the bulk during the shearing process is the basis for studying the bulk system. In nature, bulk systems are usually in a state of natural accumulation, and their internal inhomogeneity includes size, shape, and state of occurrence, and these factors determine the complexity of bulk systems. Therefore, the study of the inhomogeneity of the bulk has an important influence on the shear properties, including stress, displacement, rotation, evolution of shear bands and vortices, and is of great significance to the safety of the bulk system. ...

AI Technical Summary

Problems solved by technology

[0004] The invention provides a method for researching the evolution law of bulk shear characteristics based on image recognition to solve the problem that in the existing bulk shear tests, the shear process is invisible and the shear motion characteristics of the bulk cannot be realized, such as displacement, Technical issues for real-time monitoring and quantitative characterization of velocity, rotation, shear band and vortex evolution

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