Prediction method of mechanical response characteristics of cemented filling body based on SEM image

Abstract

The invention discloses a method for predicting the mechanical response characteristics of a cemented filling body based on an SEM image, which comprises the steps of: 1. making a SEM scanning electron microscope sample; 2. scanning to form a SEM scanning electron microscope scanning image and storing it in a computer; The scanned image is processed by Gaussian filtering; 4. Obtain multiple cluster images of cemented filling bodies; 5. Determine the microscopic pore map of the cemented filling body, and obtain the binary image of the microscopic pores of the cemented filling body; 6. Scan the SEM electron microscope after Gaussian filtering The image is merged with the microscopic pore binary image of the cemented filling body to obtain the test sample image; 7. Normalize the test sample image; 8. Input the normalized test sample image into the pre-built Tensorflow deep learning mechanical response prediction network to obtain Uniaxial mechanical response prediction results. The invention has high prediction efficiency, consumes less manpower and material resources, and has great significance for studying the strength and stability of cemented filling bodies.

Description

technical field [0001] The invention belongs to the technical field of cemented filling mining, and in particular relates to a method for predicting the mechanical response characteristics of cemented filling bodies based on SEM images. 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. Theref...

AI Technical Summary

Problems solved by technology

However, in the existing technology, the prediction of the mechanical response characteristics of cemented filling bodies is mostly based on experimental testing methods. The test period is long, the efficiency is low, and the cost of manpower and material resources is high, which affects the rapid promotion and application of new cemented filling bodies. Delay in construction period

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