Abstract
The rock and soil aggregate (RSA) is a special inhomogeneous multiphase geomaterial. It is crucial for stability of engineering by study of RSA mesodamage characteristic. This paper aims at investigating the porosity evolution characteristics of RSA by X-ray computed tomography (CT) under uniaxial compressive loading. X-ray tomography images were used to extract defects of RSA specimen under different compressive loading. In this paper, we proposed an improved Ostu method to calibrate the beam hardening phenomenon which is caused by X-ray. Also, based on this Ostu method, the outline of rock blocks in RSA is extracted, and the double gray level threshold of soil and rock block is obtained to ensure the reliability of the porosity calculation. We can conclude that the main reason of RSA cracking is the elasticity mismatch between rock blocks and soil, and the porosity evolution of RSA can be divided into four typical stages. These results may be useful to reveal the mesoscopic cracking mechanism and establish mesodamage evolution equation and constitutive relation for RSA.
Highlights
With the development of modern science and technology, digital image processing plays an increasingly important role in medical treatment, scientific research, and military
This paper aims at investigating the porosity evolution characteristics of rock and soil aggregate (RSA) by Xray computed tomography (CT) under uniaxial compressive loading
Image segmentation method has an important influence on computer tomography (CT)
Summary
With the development of modern science and technology, digital image processing plays an increasingly important role in medical treatment, scientific research, and military. Digital image processing uses computer algorithms to create, process, communicate, and display images. The major step of image processing is image segmentation, because its inputs and outputs are images. Some useful and attractive characteristics can be obtained by using image segmentation. Image segmentation method has an important influence on computer tomography (CT).
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