Quantification and characterizing of soil microstructure features by image processing technique

Tang, Chao‐Sheng; Lin, Luan; Cheng, Qiuming; Zhu, Cheng; Wang, Dongwei; Lin, Zhu; Shi, Bin

doi:10.1016/j.compgeo.2020.103817

Cited by 43 publications

(16 citation statements)

References 48 publications

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“…To further analyze the effect of NaCl concentration on the microstructure of loess soils, shear planes that were shown in Figure 8 were processed by using SEM tests, and the corresponding results were shown in Figure 9. It has been widely recognized that the development and pore size distribution of soils can be effectively investigated by using image processing techniques to quantitatively analyze SEM images of pores and particles [32][33][34]. The microstructure of loess soils has been explored by many researchers by adopting the methods mentioned above [34][35][36][37].…”

Section: Changes Of Microstructure Of Loess Soilsmentioning

confidence: 99%

“…It has been widely recognized that the development and pore size distribution of soils can be effectively investigated by using image processing techniques to quantitatively analyze SEM images of pores and particles [32][33][34]. The microstructure of loess soils has been explored by many researchers by adopting the methods mentioned above [34][35][36][37]. The microstructure of loess samples treated with salt solution are analyzed in this section for better interpretation of the mechanical response of soil.…”

Section: Changes Of Microstructure Of Loess Soilsmentioning

confidence: 99%

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Effect of Soaking Time and Salt Concentration on Mechanical Characteristics of Slip Zone Soil of Loess Landslides

Xue¹,

Wang²,

Li³

2020

Water

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Loess landslides are closely related to the variation in mechanical properties of soils due to the leaching of irrigation water in the irrigation area which causes the loss of soluble salt in the loess stratum. To investigate the effect of leaching on the mechanical characteristics of loess, ring shear tests were conducted on the slip zone soil samples obtained from a typical loess landslide under different soaking time and salt concentration. Furthermore, the microstructural observations were made on shear planes by using SEM (scanning electron microscopy) tests. The experiment revealed that: firstly, the shear strength of loess decreases with the increase of soaking time before reaching the minimum value at the soaking time of 1 d, and then increases with the soaking time until reaching a relatively stable value. Secondly, the shear strength of loess has an increasing tendency with the salt concentration before reaching a maximum value at the salt concentration of 8%, and then shear strength decreases. In addition, a “stress-softening” was found for the loess samples with the soaking time of 1 d and salt concentration of 8%. It is found that the total number of micropores and small-pores in loess samples decreases with increasing salt concentration up to 8%, but increases rapidly between salt contents of 8% and 20%. The SEM tests showed that the increase in salt concentration (0% to 8%) facilities the formation of small aggregates within loess soils, which in turn promotes the increasing of shear strength. However, further increase in salt concentration (8% to 20%) helps the development of relatively large aggregates in loess samples, resulting in the reduction in shear strength.

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Section: Changes Of Microstructure Of Loess Soilsmentioning

confidence: 99%

Section: Changes Of Microstructure Of Loess Soilsmentioning

confidence: 99%

Effect of Soaking Time and Salt Concentration on Mechanical Characteristics of Slip Zone Soil of Loess Landslides

Xue¹,

Wang²,

Li³

2020

Water

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“…An [3] used cement and lime-fly ash respectively to freeze-thaw environment. The microstructure of soil is mainly the relationship between the size, shape, and quantity of pores and particles, among which the change of pores is an important embodiment of structural deformation [23]. Scanning electron microscopy (SEM) is an effective way to study the microscopic pores and particles of soil [24].…”

Section: Introductionmentioning

confidence: 99%

Evolution Law and Mechanism of Freeze–Thaw Damage of Cement-Stabilized Weathered Sand

et al. 2022

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To explore the damage evolution law of cement-stabilized weathered sand under the action of freeze–thaw cycles, relevant experimental research was carried out on stabilized weathered sand with a cement content of 3%, including unconfined compressive strength (UCS), scanning electron microscope (SEM), and mercury intrusion porosimetry (MIP) testing. Using the surface appearance, mass, and UCS of the specimen, combined with the changes of microscopic characteristics, the freeze–thaw damage law and microscopic degradation mechanism of cement-stabilized weathered sand were analyzed. The test results showed that with the increase of the number of freeze–thaw cycles, the surface appearance of the specimen continued to deteriorate, the unconfined compressive strength gradually decreased, and the mass of the specimen first increased and then decreased. After nine freeze–thaw cycles, the specimen was seriously damaged, and the strength loss was as high as 55%. From a microscopic point of view, the freeze–thaw cycles caused the pore water inside the specimen to continuously change between ice crystals and liquid. Frost heave and shrinkage weakened the cement bond between the weathered sand particles and made the pores in the specimen develop and expand continuously. With the decrease of the number of micropores and the increase of the number of medium and large pores, the particle skeleton changed from a dense structure to a porous structure, which eventually led to the deterioration of the macroscopic properties of the cement-stabilized weathered sand.

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“…The conventional method manually changes the magnification of the SEM image to find the region of interest in the microscopic morphology [ 9 ]. Although it is simple to operate, it is quite inefficient.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Crack Detection Approach for Scanning Electron Microscope Image Using Deep Learning Method

et al. 2021

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The scanning electron microscope (SEM) is widely used in the analysis and research of materials, including fracture analysis, microstructure morphology, and nanomaterial analysis. With the rapid development of materials science and computer vision technology, the level of detection technology is constantly improving. In this paper, the deep learning method is used to intelligently identify microcracks in the microscopic morphology of SEM image. A deep learning model based on image level is selected to reduce the interference of other complex microscopic topography, and a detection method with dense continuous bounding boxes suitable for SEM images is proposed. The dense and continuous bounding boxes were used to obtain the local features of the cracks and rotating the bounding boxes to reduce the feature differences between the bounding boxes. Finally, the bounding boxes with filled regression were used to highlight the microcrack detection effect. The results show that the detection accuracy of our approach reached 71.12%, and the highest mIOU reached 64.13%. Also, microcracks in different magnifications and in different backgrounds were detected successfully.

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Quantification and characterizing of soil microstructure features by image processing technique

Cited by 43 publications

References 48 publications

Effect of Soaking Time and Salt Concentration on Mechanical Characteristics of Slip Zone Soil of Loess Landslides

Effect of Soaking Time and Salt Concentration on Mechanical Characteristics of Slip Zone Soil of Loess Landslides

Evolution Law and Mechanism of Freeze–Thaw Damage of Cement-Stabilized Weathered Sand

A Hybrid Crack Detection Approach for Scanning Electron Microscope Image Using Deep Learning Method

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