Cemented filling body mechanical response characteristic prediction method based on SEM (scanning electron microscopy) image

Abstract

The invention discloses a cemented filling body mechanical response characteristic prediction method based on an SEM (scanning electron microscopy) image. The method includes the steps: firstly, making an SEM sample; secondly, forming an SEM image in a scanning manner, and storing the image into a computer; thirdly, performing Gaussian filtering processing on the SEM image; fourthly, acquiring a plurality of clustering images of a cemented filling body; fifthly, determining a microscopic pore image of the cemented filling body to obtain a microscopic pore binary image of the cemented filling body; sixthly, combining the SEM image after Gaussian filtering processing and the microscopic pore binary image of the cemented filling body to obtain a testing sample image; seventhly, performing normalization processing on the testing sample image; eighthly, inputting the normalized testing sample image into a pre-built Tensorflow deep learning mechanical response prediction network to obtain auniaxial mechanical response prediction result. The method is high in prediction efficiency and has important significance for research of strength and stability of the cemented filling body, and consumed manpower and material resources are less.

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

Images