Prediction method of mechanical response characteristics of cemented filling body based on image and microscopic parameters

Abstract

The invention discloses a method for predicting the mechanical response characteristics of a cemented filling body based on images and microscopic parameters, comprising the steps of: 1. making a SEM scanning electron microscope sample; 2. scanning to form a SEM scanning electron microscope image and storing it in a computer; 3. Gaussian filter processing on the scanning image of the SEM electron microscope; 4. Obtain multiple cluster images of cemented filling bodies; 5. Determine the microscopic pore map of the cemented filling body, and obtain the binary map of the microscopic pores of the cemented filling body; 6. Analyze the microscopic pores of the cemented filling body 2 The value map is analyzed and processed to obtain multiple microscopic parameters of the cemented filling body; 7. Input the multiple microscopic parameters of the cemented filling body into the pre-built Tensorflow deep learning mechanical response prediction network to obtain the uniaxial mechanical response prediction result. The invention has high prediction efficiency, high prediction accuracy, less manpower and material resources consumption, is of great significance for studying the strength and stability of cemented filling bodies, has strong practicability, and has high popularization and application value.

Description

technical field [0001] The invention relates to the technical field of cemented filling mining, in particular to a method for predicting mechanical response characteristics of cemented filling bodies based on images and microscopic parameters. Background technique [0002] With the development of national science and technology, the requirements for energy saving and environmental protection technology are getting higher and higher. Traditional cemented backfill mining uses cement as the cementitious material, and the cost of cement is as high as 75% of the total backfill cost. Through research and development, tailings contain active silica and alumina, and using tailings instead of part of cement as cementing material can not only reduce the discharge of tailings, effectively reduce the cost of filling mining, but also improve the strength of the filling body and reduce the ground The collapsed area also plays an active role in promoting the protection of the environment. ...

AI Technical Summary

Problems solved by technology

However, in the prior art, there is still a lack of a method based on image processing to determine the comprehensive microscopic parameters of the cemented backfill, and there is no method to determine the mechanical response characteristics of the cemented backfill based on image processing and microscopic parameters of the cemented backfill; Moreover, the prediction of the mechanical response characteristics of the cemented filling body is mostly based on the experimental test method. The test period is long, the efficiency is low, and the manpower and material resources are high. This affects the rapid promotion and application of the new cemented filling body, and it is easy to cause delays in the mining period.

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