Investigation of scale effect of numerical unconfined compression strengths of virtual colluvial–deluvial soil–rock mixture

Zhang, Shu; Tang, Huiming; Li, Mingguang; Lei, Guoping; Cheng, Hao

doi:10.1016/j.ijrmms.2015.04.012

Cited by 62 publications

(21 citation statements)

References 23 publications

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“…However, most previous research studies aimed at predicting the deformation behavior and paid little attention to the engineering geological model and landslide mechanism. e sophisticated engineering surveys involving 23 boreholes with a total length of 699.20 m and 14 exploratory trenches with a total volume of 101.24 m 3 (shown in Figure 1(c)) have been carried out by Sanxia University in 2012 and China university of Geosciences, Wuhan, in 2013 [34], respectively. Based on the revealed observations, the boundary of the Baishuihe landslide had been determined as the predetermined warning area of the landslide.…”

Section: Case Study: the Baishuihe Landslidementioning

confidence: 99%

Study on the Spatially Variable Saturated Hydraulic Conductivity and Deformation Behavior of Accumulation Reservoir Landslide Based on Surface Nuclear Magnetic Resonance Survey

Zhang

Xiahou

Tang

et al. 2018

Advances in Civil Engineering

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Saturated hydraulic conductivity (Ks) is spatially variable in accumulation landslide sites that exert significant effort onto landslide seepage and deformation behavior. To better understand spatial variability and the effect of Ks on the slide mass of an accumulation landslide, this study introduced the surface nuclear magnetic resonance (SNMR) technology to study a representative reservoir accumulation landslide field in the Three Gorges Reservoir area (TGRA), the Baishuihe landslide, to obtain a series of relative reliable spatial measurements of Ks effectively on the basis of calibration in terms of the field tests measurements. The estimated Ks values were distributed log-normally for the overall landslide mass site with a wide range of 3.00 × 10−6∼7.80 × 10−3 cm/s, which reaches about 3 orders of magnitude. Variogram analysis indicated that the Ks values have the range (A) of 295.89 m and 65.56 m for the overall site and major cross-sectional analysis, respectively. A finite-element seepage-stress analysis associated with a Kriging-interpolated spatial Ks variable calculation model based on the best-fitted theoretical variogram was subsequently performed to study the seepage and deformation behavior of the landslide. The available monitored data and simulated results of the finite-element seepage-stress analysis indicated that the Baishuihe landslide is a progressive landslide, and the main factor influencing the deformation is rainfall and reservoir water fluctuation. This study provides an unconventional framework for studying the heterogeneous geomaterial and contributes to a better understanding of the spatial variation of the hydraulic property of accumulation reservoir landslides at a field scale.

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Section: Case Study: the Baishuihe Landslidementioning

confidence: 99%

Study on the Spatially Variable Saturated Hydraulic Conductivity and Deformation Behavior of Accumulation Reservoir Landslide Based on Surface Nuclear Magnetic Resonance Survey

Zhang

Xiahou

Tang

et al. 2018

Advances in Civil Engineering

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“…For example, some researchers [9][10][11][12][13][14] have analyzed the basic mechanical properties and influence factors for natural-grade gravel material mixed with a small amount of cemented rock and found that cemented rock-fill has both the properties and characteristics of concrete. Chen et al [15] analyzed the effect of soil structure, soil erosion, and moisture retention; the result indicated that the type of backfill soil affects the quality of the artificial soil significantly.…”

Section: Research Status In China and Elsewherementioning

confidence: 99%

An Analysis of the Mechanical Characteristics and Constitutive Relation of Cemented Mercury Slag

Zhang

et al. 2017

Advances in Materials Science and Engineering

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This study focuses on mercury slag in the Tongren area of Guizhou Province, China. Computed tomography (CT) is used with uniaxial and triaxial compression tests to examine the mechanical changes in cemented mercury slag and its formation. The CT results for the uniaxial compression test reveal the overall failure process of the mercury slag structure. Based on the coarse-grained soil triaxial test, a modified Duncan-Chang model is compared with the actual monitoring results and is found to be suitable for the analysis of the slag constitutive model.

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“…Meng et al incorporated DIP with the discrete element method (DIP-DEM) for the analysis of inhomogeneous media [36]. Zhang et al reconstructed stochastic elliptical surrogate models according to the statistical characteristics extracted by DIP from a color SRM photo and investigated the scale effect on the unconfined compressive strength [37].…”

Section: Introductionmentioning

confidence: 99%

Numerical Determination of RVE for Heterogeneous Geomaterials Based on Digital Image Processing Technology

Yang

Meng

et al. 2019

Processes

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Representative volume element (RVE) is an important parameter in numerical tests of mechanical properties of heterogeneous geomaterials. For this study, a digital image processing (DIP) technology was proposed for estimating the RVE of heterogeneous geomaterials. A color image of soil and rock mixture (SRM) with size of 400 × 400 mm 2 taken from a large landslide was used to illustrate the determination procedure of the SRM. Six sample sizes ranging from 40 × 40 mm 2 to 240 × 240 mm 2 were investigated, and twelve random samples were taken from the binarized image for each sample size. A connected-component labeling algorithm was introduced to identify the microstructure. After establishing the numerical finite difference models of the samples, a set of numerical triaxial tests under different confining pressures were carried out. Results show that the size of SRM sample affects the estimation of the mechanical properties, including compressive strength, cohesion, and internal friction angle. The larger the size of the samples, the less variability of the estimated mechanical properties. The coefficient of variation (CV) was applied to measure the variability of mechanical properties, and the RVE of the SRM was determined easily with a predefined acceptance threshold of the CV. The results show that a DIP-based modeling method is an effective method got the RVE determination of heterogeneous geomaterials.

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Investigation of scale effect of numerical unconfined compression strengths of virtual colluvial–deluvial soil–rock mixture

Cited by 62 publications

References 23 publications

Study on the Spatially Variable Saturated Hydraulic Conductivity and Deformation Behavior of Accumulation Reservoir Landslide Based on Surface Nuclear Magnetic Resonance Survey

Study on the Spatially Variable Saturated Hydraulic Conductivity and Deformation Behavior of Accumulation Reservoir Landslide Based on Surface Nuclear Magnetic Resonance Survey

An Analysis of the Mechanical Characteristics and Constitutive Relation of Cemented Mercury Slag

Numerical Determination of RVE for Heterogeneous Geomaterials Based on Digital Image Processing Technology

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