Geotechnical properties of 3D-printed transparent granular soil

Li, Yingzhen; Zhou, Hang; Liu, Hanlong; Ding, Xuanming; Zhang, Wengang

doi:10.1007/s11440-020-01111-7

Cited by 12 publications

(7 citation statements)

References 32 publications

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“…By adjusting the particle size of fused quartz and the mass ratio of silica powder, the stress-strain curves of TCS match those of natural clay. (2) Compared with several existing typical transparent geomaterials, such as transparent granular soil (Li et al, 2020), TCS (Wei et al, 2019), transparent glass soil (Kong and Lu, 2014), transparent glass sand (Kong et al, 2013) and Transparent silica gel (Iskander et al, 2002b) used in model tests, the TCS prepared in the present work has a similar stress-strain relationship to them. The difference is that the stress-strain curves of TCS used in this research can be controlled across a wider range, thus TCS has stronger applicability in simulating different natural clays.…”

Section: Application Of Tcs As the Substitute For Claymentioning

confidence: 79%

Material Preparation and Geotechnical Properties of Transparent Cemented Soil for Physical Modeling

et al. 2021

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The preparation of transparent materials suitable for simulating different rock and soil masses is the foundation for image-based physical modeling tests in studying deformation and failure mechanisms in geotechnical media. A transparent cemented soil (TCS) with similar geotechnical properties of natural soil and soft rock was prepared using fused quartz as the skeleton, hydrophobic fumed silica powder as the cement and mixed mineral oil of 15# white oil and n-dodecane as the pore fluid. Eleven groups of TCS samples with different shear strengths were synthesized by adjusting the content or mass ratio of the cement and particle size or gradation of the skeleton. Contrasting tests of unconsolidated-undrained triaxial compression were carried out and the mechanical characteristics of TCS were analyzed, showing that the stress-strain relationship, shear strength and failure mode of TCS are similar to those of natural soil. The mechanical parameters of TCS undergo complex variation with the factors, and the mesoscopic mechanism of the changes therein was revealed with the help of optical microscope photos. The similarity ratio of TCS to soft rock was derived according to geometries and stress conditions of laboratory model tests, demonstrating the feasibility of using TCS as similar materials to soft rock. Moreover, empirical formulas for the change of shear strength parameters with the factors were fitted to facilitate the preparation of TCS with target shear strength in the future. The findings can provide a basis for preparing transparent similar materials to natural soil and soft rock in physical modeling tests.

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Section: Application Of Tcs As the Substitute For Claymentioning

confidence: 79%

Material Preparation and Geotechnical Properties of Transparent Cemented Soil for Physical Modeling

et al. 2021

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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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“…The introduction of 3DP technology in large‐scale physical model tests can solve some puzzling geotechnical and geomechanical issues, and also realize complex geological structures (Feng et al, 2019). In geotechnical engineering, many 3DP solutions are highly recommendable, such as 3D printed transparent granular soil (Y. Li et al, 2021), 3D printed small model geogrids (Stathas et al, 2017), tunnel physical model fabrication (L. Song et al, 2018), and rock‐like geological materials (Vogler et al, 2017). 3DP can provide quantitative stability evaluation for geotechnical engineering cases (Q. Jiang et al, 2021) as well.…”

Section: Introductionmentioning

confidence: 99%

“…In geotechnical engineering, many 3DP solutions are highly recommendable, such as 3D printed transparent granular soil (Y. Li et al, 2021), 3D printed small model geogrids (Stathas et al, 2017), tunnel physical model fabrication (L. Song et al, 2018), and rock-like geological materials (Vogler et al, 2017). 3DP can provide quantitative stability evaluation for geotechnical engineering cases (Q.…”

mentioning

confidence: 99%

Additive manufacturing technology in mining engineering research

Feng

Carvelli

2022

Deep Underground Science and Engineering

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Nowadays, additive manufacturing, or 3D printing (3DP), though not a new technology in many industrial fields, is still relatively novel in mining engineering. This study explored the application of 3D metal printing, 3D polylactic acid/ acrylonitrile butadiene styrene printing, and 3D concrete printing in coal mining. Some examples of physical models established via 3DP technologies were studied in detail, namely, 3DP bolts, 3DP steel ladder beams, 3DP face plates, and 3DP metal arches, which were installed in scaled 3DP concrete prototype models of coal mine excavation. Through the comprehensive laboratory loading tests, the models could simulate the damage scenario highly similar to the real failures. The results show that the 3D printed physical models greatly improved the accuracy and reliability of experiments. On this basis, the conceptual design of a 3DP machine for physical models was proposed, which had the potential of resembling the strata deformation/collapse in natural scenarios. Through assessing the applicability of the additive manufacturing technology in mining engineering, this study aimed to further explore its potential applicability in other engineering contexts such as slope controlling, large underground engineering, and underground space stability.

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Geotechnical properties of 3D-printed transparent granular soil

Cited by 12 publications

References 32 publications

Material Preparation and Geotechnical Properties of Transparent Cemented Soil for Physical Modeling

Material Preparation and Geotechnical Properties of Transparent Cemented Soil for Physical Modeling

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

Additive manufacturing technology in mining engineering research

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