Method for predicating mechanical response characteristic of cemented backfill based on images and microscopic parameters

Abstract

The invention discloses a method for predicating the mechanical response characteristic of a cemented backfill based on images and microscopic parameters. The method comprises the following steps: 1,preparing an SEM (scanning electron microscope) sample; 2, performing scanning to form an SEM scanning image, and storing the SEM scanning image in a computer; 3, performing Gaussian filtering processing on the SEM scanning image; 4, obtaining multiple cluster images of the cemented backfill; 5, determining the microscopic pore map of the cemented backfill to obtain a microscopic pore binary imageof the cemented backfill; 6, analyzing and processing the microscopic pore binary image of the cemented backfill to obtain multiple microscopic parameters of the cemented backfill; and 7, inputting the multiple microscopic parameters of the cemented backfill into a pre-built Tensorflow deep learning mechanical response prediction network, and obtaining a uniaxial mechanical response prediction result. The method has the advantages of high prediction efficiency, high prediction precision, low consumption of manpower and material resources, great values in studying the strength and the stability of the cemented backfill, strong practicability and high promotion and application values.

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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