A new method for constructing finite difference model of soil-rock mixture slope and its stability analysis

Zhao, Lianheng; Huang, Dongliang; Zhang, Shuaihao; Cheng, Xiao; Luo, Yun; Deng, Min

doi:10.1016/j.ijrmms.2020.104605

Cited by 28 publications

(8 citation statements)

References 27 publications

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“…One is the digital image processing technique 4 , 20 , which obtains images through image acquisition techniques such as photography or CT scanning, and then processes the digital images to build a digital model. Another effective method is the random generation method, which puts rock block patterns with a certain size, distribution, and content into a specific area one by one and quickly generates multiple SRM models 21 . Xu et al used digital image processing techniques to establish a soil–rock mixture model and conducted stability studies using the finite element square intensity reduction method to investigate the shear zone distribution characteristics and stability coefficients of SRM slopes.…”

Section: Introductionmentioning

confidence: 99%

Study on large deformation of soil–rock mixed slope based on GPU accelerated material point method

Liu,

Wang,

Liu

et al. 2024

Sci Rep

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This study assesses the effect of stone content on the stability of soil–rock mixture slopes and the dynamics of ensuing large displacement landslides using a material point strength reduction method. This method evaluates structural stability by incrementally decreasing material strength parameters. The author created four distinct soil–rock mixture slope models with varying stone contents yet consistent stone size distributions through digital image processing. The initial conditions were established by linearly ramping up the gravity in fixed proportionate steps until the full value was attained. Stability was monitored until a sudden shift in displacement marked the onset of instability. Upon destabilization, the author employed the material point method to reconstruct the landslide dynamics. Due to the substantial computational requirements, the author developed a high-performance GPU-based framework for the material point method, prioritizing the parallelization of the MPM algorithm and the optimization of data structures and memory allocation to exploit GPU parallel processing capabilities. Our results demonstrate a clear positive correlation between stone content and slope stability; increasing stone content from 10 to 20% improved the safety factor from 1.9 to 2.4, and further increments to 30% and 40% ensured comprehensive stability. This study not only sheds light on slope stability and the mechanics of landslides but also underscores the effectiveness of GPU-accelerated methods in handling complex geotechnical simulations.

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Section: Introductionmentioning

confidence: 99%

Study on large deformation of soil–rock mixed slope based on GPU accelerated material point method

Liu,

Wang,

Liu

et al. 2024

Sci Rep

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“…In this study, digital image processing methodologies were harnessed to develop a mixed soil-rock slope model. An image portraying the soil-rock mixed slope, derived from the work of Lianheng et al [17], was digitized to capture the image information. The RGB color values were extracted and utilized to distinguish between stone and soil constituents, with pixels of distinct colors being designated as representative material points.…”

Section: Model Setup and Materials Parametersmentioning

confidence: 99%

“…Recent studies have predominantly concentrated on isotropic homogeneous soil slopes; however, nonhomogeneous slopes present a more common scenario in practical engineering applications [17][18][19]. This paper presents an examination of the deformation and damage behaviors exhibited by nonhomogeneous slopes, specifically those comprising soil-stone mixtures subjected to heap loads.…”

Section: Introductionmentioning

confidence: 99%

Material Point Method-Based Simulation of Run-Out Characteristics for a Soil–Rock Mixed Landslide Induced by Surcharge

Zhang,

et al. 2024

Advances in Civil Engineering

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Surcharge loading on slopes is a prevalent engineering practice that can precipitate landslides, posing significant risks to construction integrity and safety. This study elucidates the impact of surcharge loading on mixed soil–rock slopes and benchmarks their response against that of pure soil slopes under analogous loading conditions. Investigating damage manifestations, this research quantifies the distribution of plastic zones, the morphological alterations of slopes at characteristic stages, the dynamics of slip velocity at monitoring points, and the extent of landslide run-out. The material point method is adopted for its proficiency in simulating large deformation scenarios. Two-dimensional models of a representative soil–rock mixed slope and a pure soil slope are meticulously crafted using digital image processing techniques. The distinct damage profiles exhibited by the mixed and pure soil slopes are compared. The comparative assessment elucidates the distinct damage patterns of different slopes, enhancing the understanding of their behavior under variable surcharge intensities and contributing to the discourse on slope stability assessments.

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“…Through a blend of testing and numerical simulation, Hu et al [ 20 ] researched the strength, deformation, and permeability characteristics of soil-rock mixture and its structural control mechanisms. Zhao et al [ 21 ] proposed a novel approach for constructing digital models of soil-rock mixture, allowing for the creation of soil-rock mixture with different block size distributions and stone content. While the aforementioned research primarily focuses on the effects of stone content or particle size on the shear characteristics of soil-rock mixture, factors like water content and fine particle mass fraction also exert significant influence on these characteristics.…”

Section: Introductionmentioning

confidence: 99%

Study of shear properties and shear model of soil-rock mixture

Du,

Tao,

et al. 2023

PLoS ONE

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This study investigates the shear characteristics of soil-rock mixtures, a critical factor influencing slope stability in engineering construction. Soil-rock mixtures, often exhibit poor integrity and can easily soften in water due to geological influences. The YT1200 direct shear drawing friction system was employed to conduct shear tests, analyzing the effect of varying water content and fine particle mass fraction under different normal stresses. Utilizing fractional derivatives, we formulated a fractional derivative shear model. Test results illustrated a softening phenomenon post achieving peak shear stress in the soil-rock mixture. It was found that peak shear stress is directly proportional to the normal stress, and inversely proportional to both water content and fine particle mass fraction. Additionally, the cohesion and internal friction angle decrease according to a power function with increasing water content, and non-linearly decrease with the rise of fine particle mass fraction. The proposed shear model aptly simulates the entire shear failure process of the soil-rock mixture, effectively analyzing the influence of key factors on shear characteristics. These findings contribute to the strength prediction and numerical simulation of soil-rock mixtures, thereby aiding in the design of reinforcement schemes and slope stability analysis.

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A new method for constructing finite difference model of soil-rock mixture slope and its stability analysis

Cited by 28 publications

References 27 publications

Study on large deformation of soil–rock mixed slope based on GPU accelerated material point method

Study on large deformation of soil–rock mixed slope based on GPU accelerated material point method

Material Point Method-Based Simulation of Run-Out Characteristics for a Soil–Rock Mixed Landslide Induced by Surcharge

Study of shear properties and shear model of soil-rock mixture

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