Abstract
Geotechnical engineering material is a kind of heterogeneous composite material. The stone, mineral, gravel, hole, and crack contained in it have different physical and mechanical properties, and their responses to external forces are very different. For example, stress distribution, crack propagation, and failure mode are closely related to material heterogeneity and microstructure. This paper presents a finite element model method for processing CT images of geotechnical materials by using digital image technology. This paper presents a finite element model method for processing CT images of geotechnical materials by using digital image technology. The theory of digital image processing is applied to geotechnical CT image processing to realize pseudo-color enhancement of CT image, and the histograms of different geotechnical CT numbers are obtained. Canny operator is used to detect the edge of geotechnical CT image, and the binary image of geotechnical microstructure is obtained. According to the color change of pseudo-color enhanced image and CT histogram, the meso-structure and variation of rock and soil can be quantitatively analyzed. The finite element model established by this method can fully consider the heterogeneity of geotechnical materials, especially the effect of void distribution on the mechanical properties of geotechnical materials.
Highlights
With the in-depth study of geotechnical mechanical properties, scholars pay more and more attention to the study of its meso-mechanical properties, resulting in a variety of meso-structural finite element models, such as lattice model, beam-particle model, random aggregate model, and random mechanical properties model [1]
The finite element method based on digital image processing provides a new way to study the mechanical properties of geotechnical materials under freeze-thaw environment
Digital image processing (DIP) coupled with finite element method (FEM) is another effective way to correlate the fine microstructure of geotechnical materials with the macroscopic mechanical response [11, 12]
Summary
With the in-depth study of geotechnical mechanical properties, scholars pay more and more attention to the study of its meso-mechanical properties, resulting in a variety of meso-structural finite element models, such as lattice model, beam-particle model, random aggregate model, and random mechanical properties model [1]. The finite element method based on digital image processing provides a new way to study the mechanical properties of geotechnical materials under freeze-thaw environment. Digital image processing (DIP) coupled with finite element method (FEM) is another effective way to correlate the fine microstructure of geotechnical materials with the macroscopic mechanical response [11, 12]. The effect of meso-structure on stress distribution is studied by finite element method In this method, the digital image processing technology is only aimed at grayscale image [17, 18]. This paper takes self-made porous rock and soil materials and aggregate rock and soil materials, for example, obtains its internal structure image by CT technology, studies the method of image feature information extraction and bitmap vectorization, and establishes its numerical calculation model. According to the color change of pseudo-color enhancement image and CT number histogram, the meso-structure and variation of geotechnical can be quantitatively analyzed
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