Numerical Investigation of the Influence of Rock Characteristics on the Soil-Rock Mixture (SRM) Slopes Stability

Liu, Shiqi; Wang, Huanling; Xu, Weiya; Cheng, Zhichao; Xiang, Zhipeng; Xie, Wei‐Chau

doi:10.1007/s12205-020-0034-1

Cited by 21 publications

(7 citation statements)

References 30 publications

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“…It is worth noting that the oversized particles may serve as obstacles to change the localized failure in the soil matrix. This result is similar to those obtained from numerical investigations on the stability and development of failure localization of slopes with rock blocks (Gao et al , 2018;Liu et al , 2020).…”

Section: Discussionsupporting

confidence: 89%

On mechanical behaviour of clastic soils: numerical simulations and constitutive modelling

Wang

Cui

2022

Géotechnique

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Clastic soil is ubiquitous in practice but still poses challenge for testing and modelling. Conventional laboratory tests with small sizes are not suitable for the large grain size, while large-scale tests and field tests are often too costly and time-consuming. In this paper, the mechanical behaviour of clastic soil is described by a hypoplastic constitutive model based on numerical simulations considering both the soil matrix and breccia. The numerical simulations indicate that the breccia content, gradation, and the overconsolidation ratio have significant influence on the strength, deformation, and failure pattern of the clastic soil. The coarse particles are found to change the stress path developed in the soil matrix and consequently influence the critical state of the soil matrix. Moreover, the coarse particle distribution based on computed tomography scan seems to have larger impact than the breccia content for the failure pattern of the clastic soils.

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Section: Discussionsupporting

confidence: 89%

On mechanical behaviour of clastic soils: numerical simulations and constitutive modelling

Wang

Cui

2022

Géotechnique

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“…Water was evenly sprayed on the surface of dry soil; the soil sample was then seal and covered with plastic film for 8 h to let the water infiltrate naturally. The density of the remolded sample was set at 2.0 g/cm 3 , and the mass of clay and gravel was calculated according to the gradation curve. Clay and gravel mixed evenly and then compacted in three layers.…”

Section: Sample Preparationmentioning

confidence: 99%

“…Soil-rock mixture (S-RM) is a loose geological material comprising engineering-scale block stone and fine-grained soil [1][2][3]. Different from the traditional homogeneous soil and cataclastic rock mass, its internal structure presents typical characteristics of heterogeneity, discontinuity, large pores, and multiple interfaces.…”

Section: Introductionmentioning

confidence: 99%

Change Mechanism of Strength of Soil-rock Mixture Freezing-thawing Interface under Different Rock

Li¹,

Huang²,

Li³

et al. 2021

Preprint

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With global warming and accelerated degradation of permafrost, the engineering problems caused by the formation of weak zones between the shallow and permafrost layers of soil–rock mixture (S-RM) slopes in permafrost regions have become increasingly prominent. To explore the influence of rock content on the shear strength of the S-RM freezing–thawing interface, the variation in the shear strength for different rock content is studied herein using direct shear tests. In addition, a 3D laser scanner is used for obtaining the topography of the shear failure surface. Combined with the analysis results of the shear band-particle calculation model, the influence of the rock content on the shear strength of the interface is explored. It was found that the impact threshold of the rock content on the interface strength and failure mode is approximately 30%, when the rock content (R) is &gt; 30% and that the shear strength increases rapidly with increasing rock content. When R ≤ 30%, the actual shear plane is similar to waves; when R &gt; 30%, the shear plane appears as gnawing failure. The shear strength of S-RM freezing–thawing interface mainly comes from the bite force and friction between particles. The main reason for the increase in shear strength with increasing rock content is the increase in bite force between particles, which makes the ratio of bite force to friction force approximately 1:1.

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“…Only a few papers about rockfall prediction have been published, and no clear precursors before rock collapses have been detected1 1,3−6 . Kinematic and deformation analysis methods, including the limit equilibrium method 7 , numerical simulation method 1,8,9 , fuzzy theory 10,11 and acoustic emission 12 , are used in the stability evaluation of unstable rock slopes. These theoretical tools can analyse the spatiotemporal characteristics of rockfall hazards and are suitable for the assessment of the damage level of rock slopes but not for the accurate monitoring and early warning of a rockfall.…”

Section: Main Textmentioning

confidence: 99%

Using Ground Microtremor Data in Advanced Rockfall Early Warning Systems and Predicting Spatiotemporal Characteristics of Rockfall Hazards

Yang

Lee

Wang

2021

Preprint

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Identifying cliffs that are prone to fall and providing a sufficient lead time for rockfall warning are crucial steps in disaster risk reduction and preventive maintenance work, especially that led by local governments. However, existing rockfall warning systems provide uncertain rockfall location forecasting and short warning times because the deformation and cracking of unstable slopes are not sufficiently detected by sensors before the rock collapses. Here, we introduce ground microtremor signals for early rockfall forecasting and demonstrate that microtremor characteristics can be used to detect unstable rock wedges on slopes, quantitatively describe the stability of slopes and lengthen the lead time for rockfall warning. We show that the change in the energy of ground microtremors can be an early precursor of rockfall and that the signal frequency decreases with slope instability. This finding indicates that ground microtremor signals are remarkably sensitive to slope stability. We conclude that microtremor characteristics can be used as an appropriate slope stability index for early rockfall warning systems and predicting the spatiotemporal characteristics of rockfall hazards. This early warning method has the advantages of providing a long lead time and on-demand monitoring, while increasing slope stability accessibility and prefailure location detectability.

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Numerical Investigation of the Influence of Rock Characteristics on the Soil-Rock Mixture (SRM) Slopes Stability

Cited by 21 publications

References 30 publications

On mechanical behaviour of clastic soils: numerical simulations and constitutive modelling

On mechanical behaviour of clastic soils: numerical simulations and constitutive modelling

Change Mechanism of Strength of Soil-rock Mixture Freezing-thawing Interface under Different Rock

Using Ground Microtremor Data in Advanced Rockfall Early Warning Systems and Predicting Spatiotemporal Characteristics of Rockfall Hazards

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