Research on evolution of meso-structure of Q2 loess during plastic and brittle failure in triaxial tests

Shen, Chunni; Fang, Xiangwei; Li, Jie; Chen, Zhenghan

doi:10.1201/b19248-19

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“…The clothes have a large specific surface area and strong adsorption and often perform the function of cementation. However, the high sensitivity of the structure indicates that the state is extremely unstable and contributes to the deformation of wetsubmerged loess (Fang et al, 2013;Liu et al, 2016;Lu et al, 2012).…”

Section: Characteristics Of Image Statistical Methodsmentioning

confidence: 99%

“…Fang et al (2013) andLiu et al (2016) discussed the microstructural characteristics of loess particles for the wet sink deformation of loess in different states, including the composition shape and arrangement of the particles. Li et al (2017) and Ni et al (2020) also attempted to delineate the loess skeleton particles using SEM images; however, their work was limited to the description of the skeletal particles corresponding to the state of change in the loess sample.…”

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confidence: 99%

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A new method for determining loess particle size distribution based on ‘core + clothes’ structure

Zhou

et al. 2023

Earth Surf Processes Landf

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The particle size distribution (PSD) of loess particles and agglomerates is the key factor determining the microstructure of loess. The PSD largely determines many physical and mechanical properties such as mechanical strength, deformation characteristics and permeability of loess. In this paper, we combined image processing, geometric measurements and statistical methods to quantitatively characterize the scanning electron microscopy (SEM) images of loess. A new method based on the ‘core + clothes’ structure is proposed to determine the PSD. The developed Gaussian mixture model is applicable to describe the overall distribution of the image pixel density. Determining pixel density distribution and particle boundary allows for the measurement of various geometric parameters. The comparison analyses suggest that the sieve‐hydrometer method has a well‐developed test procedure; however, the measured particle size is limited to 0.075 mm. The laser diffraction method is simple and fast, yet only weak agglomerates can be dispersed, and very fine particles are influenced by size data conversion theory and light source parameters. X‐ray microtomography has the advantage of a non‐destructive sample preparation and intuitive process. However, the results are greatly affected by the parameter settings and segmentation algorithm, and the segmentation effect is poor for particles with a size smaller than 12 μm. The new image processing technique developed in this study improves the limitation of the measurement results via changes in the loess state (water content, stress level). Moreover, different PSDs can be determined according to the variation of functional units. This work is of great significance for the study of numerous properties related to the loess state.

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Section: Characteristics Of Image Statistical Methodsmentioning

confidence: 99%

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confidence: 99%