Footwall slope stability analysis with the numerical manifold method

Ning, Youjun; An, Xinmei; Ma, Guowei

doi:10.1016/j.ijrmms.2011.06.011

Cited by 190 publications

(44 citation statements)

References 25 publications

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“…Fracturing is realized by converting artificial joints into real joints once a failure criterion is met; however, the predicted crack trajectory is dependent on the advance block discretization configuration (Ning et al 2011).…”

Section: Introductionmentioning

confidence: 99%

“…The NMM has been used to investigate discontinuous problems involving stationary cracks and crack propagation (Tsay et al 1999), and extended by various researchers to address crack problems (Li et al 2005;Ma et al 2009;Zhang et al 2010a;Wong 2012, 2013) and failure of rock slopes involving cracking (Zhang et al 2010b;Ning et al 2011;Wong and Wu 2014). However, the tips of cracks are constrained to stop at the edges of the element, which reduces the accuracy if a crack tip happens to stop inside an element when the NMM is used to investigate discontinuous problems.…”

Section: Introductionmentioning

confidence: 99%

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Numerical Simulation of Crack Growth and Coalescence in Rock-Like Materials Containing Multiple Pre-existing Flaws

Zhou

2014

Rock Mech Rock Eng

281

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A novel meshless numerical method, called general particle dynamics (GPD), is proposed to simulate samples of rock-like brittle heterogeneous material containing four preexisting flaws under uniaxial compressive loads. Numerical simulations are conducted to investigate the initiation, growth, and coalescence of cracks using a GPD code. An elasto-brittle damage model based on an extension of the Hoek-Brown strength criterion is applied to reflect crack initiation, growth, and coalescence and the macrofailure of the rock-like material. The preexisting flaws are simulated by empty particles. The particle is killed when its stresses satisfy the Hoek-Brown strength criterion, and the growth path of cracks is captured through the sequence of such damaged particles. A statistical approach is applied to model the heterogeneity of the rocklike material. It is found from the numerical results that samples containing four preexisting flaws may produce five types of cracks at or near the tips of preexisting flaws including wing, coplanar or quasi-coplanar secondary, oblique secondary, out-of-plane tensile, and out-of-plane shear cracks. Four coalescence modes are observed from the numerical results: tensile (T), compression (C), shear (S), and mixed tension/shear (TS). A higher load is required to induce crack coalescence in the shear mode (S) than the tensile (T) or mixed (TS) mode. It is concluded from the numerical results that crack coalescence occurs following the weakest coalescence path among all possible paths between any two flaws. The numerical results are in good agreement with reported experimental observations.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of Crack Growth and Coalescence in Rock-Like Materials Containing Multiple Pre-existing Flaws

Zhou

2014

Rock Mech Rock Eng

281

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“…Many kinds of numerical simulation methods have been successfully employed for such topics, including FEM [25][26][27][28][29][30], DDA [31][32][33][34], and NMM [32,35]. Currently, PFC (particle flow code), that is, a kind of DEM, has been widely accepted and used by many scholars to study the propagation of cracks in natural rocks or rock-like materials [36][37][38][39][40][41].…”

Section: Introductionmentioning

confidence: 99%

Experimental and Numerical Study of Failure Behavior and Energy Mechanics of Rock-Like Materials Containing Multiple Joints

Cao

Lin

2017

Advances in Materials Science and Engineering

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This paper investigates the influence of joint geometry parameters on the characteristic stress, failure pattern, and energy mechanism of multiple jointed rock-like specimens under uniaxial compression. Both the laboratory and numerical results show that the higher value of UCS occurs when is around 0 ∘ and changes from 15 ∘ to 30 ∘ or when is around 30 ∘ and changes from 45 ∘ to 75 ∘ . However, the lowest value appears when is around 45 ∘ and changes from 15 ∘ to 30 ∘ . The CDiS (critical dilatancy stress) and CIS (crack initiation stress) show a similar tendency to UCS. Moreover, the specimens present different failure modes for various levels of , , and , and the failure mode can be classified into four categories: stepped path failure; failure through parallel plane; failure through cross plane; material failure. In addition, with higher strength, the input energy and strain energy are higher than those with lower strength. Dissipation energy is affected by the failure modes of the specimens. At the same time, when changes from 0.2 to 0.6, the boundary energy, strain energy, and dissipation energy show a decreasing trend.

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“…Therefore, despite their success (Dymond and De Rose, 2011), numerical models should only be used when available input data include all the relevant features to provide accurate outcomes. Generally, numerical models are aimed at: i) predicting the kinematics of the slope movements (Huang et al, 2009;Ning et al, 2011;Longoni et al, 2014); and ii) forecasting the triggering factors that may lead to failure (Della Seta et al, 2013;Camera et al, 2014). If available data are not sufficient to achieve these goals, numerical modeling is unprofitable (Goodchild, 2011).…”

Section: Introductionmentioning

confidence: 99%

The role of the spatial scale and data accuracy on deep-seated gravitational slope deformation modeling: The Ronco landslide, Italy

et al. 2016

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In recent decades numerical models have been developed and extensively used for landslide hazard and risk assessment. The reliability of the outcomes of these numerical simulations must be evaluated carefully as it mainly depends on the soundness of the physical model of the landslide that in turn often requires the integration of several surface and subsurface surveys in order to achieve a satisfactory spatial resolution. Merging diverse sources of data may be particularly complex for large landslides, because of intrinsic heterogeneity and possible great data uncertainty. In this paper, we assess the spatial scale and data accuracy required for effective numerical landslide modeling. We focus on two particular aspects: the model extent and the accuracy of input datasets. The Ronco landslide, a deep-seated gravitational slope deformation (DSGSD) located in the North of Italy, was used as a test-bed. Geological, geomorphological and geophysical data were combined and, as a result, eight models with different spatial scales and data accuracies were obtained. The models were used to run a back analysis of an event in 2002, during which part of the slope moved after intense rainfalls. The results point to the key role of a proper geomorphological zonation to properly set the model extent. The accuracy level of the input datasets should also be tuned. We suggest applying the approach presented here to other DSGSDs with different geological and geomorphological settings to test the reliability of our findings.

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Footwall slope stability analysis with the numerical manifold method

Cited by 190 publications

References 25 publications

Numerical Simulation of Crack Growth and Coalescence in Rock-Like Materials Containing Multiple Pre-existing Flaws

Numerical Simulation of Crack Growth and Coalescence in Rock-Like Materials Containing Multiple Pre-existing Flaws

Experimental and Numerical Study of Failure Behavior and Energy Mechanics of Rock-Like Materials Containing Multiple Joints

The role of the spatial scale and data accuracy on deep-seated gravitational slope deformation modeling: The Ronco landslide, Italy

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