The morphology evolution of the shear band in slope: insights from physical modelling using transparent soil

Wei, Lanting; Xu, Qiang; Wang, Shanyong; Wang, Cuilin; Xu, Jinyu

doi:10.1007/s10064-019-01649-1

Cited by 13 publications

(5 citation statements)

References 27 publications

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“…Conducting indoor model experiments using transparentsoil material [3][4][5][6] in combination with particle image velocimetry technology enables the deformation and evolution process within the soil to be observed [7][8][9][10]. Many scholars use transparent soil to study the stability of slopes [11,12], the shear deformation of soil [13], and the surface uplift in model experiments [14]. Preliminary studies indicate that transparent soil prepared using fused quartz sand as the soil framework [15], aerosol silica powder as the binder, and mixed mineral oil as the pore fluid exhibits mechanical characteristics that are similar to clay; it can therefore be used to create physically complex models [16].…”

Section: Introductionmentioning

confidence: 99%

ViT-Based Image Regression Model for Shear-Strength Prediction of Transparent Soil

Wang,

Jia,

Zhang

et al. 2024

Buildings

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The direct-shear test is the primary method used to test the shear strength of transparent soil, but this experiment is complex and easily influenced by experimental conditions. In order to simplify the process of obtaining the shear strength of transparent soil, an image regression model based on a vision transformer (ViT) is proposed in this paper; this is used to recognize the shear strength of the soil based on images of transparent-soil patches. This model uses a convolutional neural network (CNN) to decompose the transparent-soil images into multiple image patches containing high-order features, utilizes a ViT for feature extraction, and designs a regression network to facilitate the transfer of information between the abstract image features and shear strength. This model solves the problem of boundary blurring and difficult-to-identify features in speckle images. To demonstrate the effectiveness of the proposed model, different parameters related to transparent soil were obtained by controlling the particle size of fused quartz sand and the content of aerosol; in addition, the friction angle and cohesive force of the transparent soil under different proportions were measured using direct-shear tests, serving as two datasets. The results show that the proposed method achieves correlations of 0.93 and 0.94 in the two prediction tasks, thus outperforming existing deep learning models.

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Section: Introductionmentioning

confidence: 99%

ViT-Based Image Regression Model for Shear-Strength Prediction of Transparent Soil

Wang,

Jia,

Zhang

et al. 2024

Buildings

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“…Wang et al [9] and Rechenmacher and Cetina [34] proposed the image-finite-element method to characterize the mesostructures' evolution during loading, but the dynamic change of objects is simulation. Lanting et al [35] achieved the visualization of the shear band evolution in a laboratory slope model test using transparent soil, but the sample was surrogation. Salazar and Coffman [36] investigated the shear band evolution by 360-degree coverage of sample in the triaxial compression test; Mehdizadeh et al [37] proposed the shear band evolution was discontinuous in this test method.…”

Section: Introductionmentioning

confidence: 99%

A Continuous Test Method for Dynamic Change of Real Mesostructures of Soil

Qian

Liu

Yao

et al. 2022

Mathematical Problems in Engineering

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The regularity of dynamic change of real mesostructures of soil is the foundation of the macro- and mesointegrated research. Mesoscale research about continuous image acquisition in real soils, identifying and quantifying mesostructures, is the subject of current interest. Soil mesostructure measurement method is the basis of modeling, and the development of rapid, direct, and lower-cost methods has great practical value for engineering practice. Combined with conventional triaxial loading test equipment, optical measurement, mesoscopic imaging tracking system, and digital image technology, a new method for measuring the dynamic change of the soil mesostructure is designed. This integrated approach to observation and acquisition is realized by direct observation and continuous image capture for dynamic change of real mesostructures of soil. The methods are used to analyze the high compressibility of a certain clay, shear zone development of cement soil, and erosive effects of ecological soil in order to investigate the continuous variation of mesostructures during the shear test. The aim of this paper is to provide a simple, straightforward, continuous, and low-cost test method for revealing the characteristics of consecutive change of real mesostructures of soil in the conventional triaxial test.

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“…The failure process was concluded in four stages and shear band formation was observed in the third stage i.e., softening stage. Lanting et al (2020) [24] investigated slope deformation and shear band evolution using transparent soil to see the geometry of shear band. The result showed that deformation is synchronous to the propagation of shear band.…”

Section: Introductionmentioning

confidence: 99%

Impact on slopes with development of shear band

2022

IJATEE

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show abstract

The morphology evolution of the shear band in slope: insights from physical modelling using transparent soil

Cited by 13 publications

References 27 publications

ViT-Based Image Regression Model for Shear-Strength Prediction of Transparent Soil

ViT-Based Image Regression Model for Shear-Strength Prediction of Transparent Soil

A Continuous Test Method for Dynamic Change of Real Mesostructures of Soil

Impact on slopes with development of shear band

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