Stochastic assessment of slope failure run-out triggered by earthquake ground motion

Huang, Yu; Li, Geye; Xiong, Min

doi:10.1007/s11069-020-03863-7

Cited by 16 publications

(5 citation statements)

References 45 publications

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“…A roller boundary condition is set at the left boundary of the domain to allow vertical material points' movements. Similar model slope was previously analyzed with the deterministic MPM(Bandara and Soga 2015;Wang 2017) as well as the SPH method(Nonoyama et al 2015;Zhang et al 2020;Huang et al 2020);…”

mentioning

confidence: 52%

“…The transmission process is based on the spatial relationship between material point and RF mesh element (e.g. a position-to-position mapping process), which is similar to the methodology used in the random FEM (Gironacci et al 2018;Mousavi Nezhad et al 2018;Huang et al 2020). Therefore, the sample values of each element in the RF mesh are assigned to the material points surrounded by that element.…”

Section: Random Field Generationmentioning

confidence: 99%

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Stochastic Assessment of Landslide Influence Zone by Material Point Method and Generalized Geotechnical Random Field Theory

Rezania

Nezhad

2022

Int. J. Geomech.

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In landslide analysis, reliable prediction of landslide's influence zone is significantly difficult due to inherent heterogeneity of soils and their spatially varying geological properties. In this paper, a probabilistic framework is proposed to evaluate the landslide hazard zoning through prediction of their influence zone considering the effects of heterogeneous soil properties. Material point method is used to simulate the large deformations during landslide failure. The spatial variation in the shear strength parameters of soils at undrained conditions is modeled by random fields, which are discretized by Cholesky matrix decomposition method to incorporate the effects of the soil spatial heterogeneity on the post-failure deformations. Furthermore, a practical landslide hazard zoning is conducted to quantitively evaluate the level of disaster for facilities or structures located in the vicinity of the slope by using the exceedance probability of influence distance and runout distance.Five categories based on different thresholds of exceedance probability are used to visualize the area potentially affected by the landslide. To demonstrate the capability of the stochastic

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mentioning

confidence: 52%

Section: Random Field Generationmentioning

confidence: 99%

Stochastic Assessment of Landslide Influence Zone by Material Point Method and Generalized Geotechnical Random Field Theory

Rezania

Nezhad

2022

Int. J. Geomech.

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“…Figure 7b shows the time-runout distance curves of landslides by MCS through 1000 samples, which presents the calculated runout distance of landslides at different times from all samples. Unlike the deterministic analysis, the heterogeneous cases show dramatic uncertainties of runout motions during the sliding time, in which the maximum runout distance is 12.23 m and the minimum runout distance is 9.40 m. As for larger runout distance, this is mainly because in some cases the failure paths in the spatially varying soil generally go through relatively weak soil zones (Liu et al 2019;Huang et al 2020), which may lead to an extensive runout distance. While other cases may face strong soil sections through their failure paths and consequently have relatively smaller runout distances.…”

Section: Comparative Analyses and Stochastic Assessmentmentioning

confidence: 99%

“…Then, the samples are mapped onto the material points in the GIMP, in which each particle has a unique value of soil properties ( c and ). The transmission process is based on the spatial relationship between the material point and the RF mesh element (e.g., a position-toposition mapping process), which is similar to the methodology used in the random FEM (Gironacci et al 2018;Nezhad et al 2018aNezhad et al , 2018bHuang et al 2020). Therefore, the sample values of each element in the RF mesh are assigned to the corresponding material…”

Section: Implementation and Workflowmentioning

confidence: 99%

Uncertainty quantification of landslide runout motion considering soil interdependent anisotropy and fabric orientation

Rezania

Nezhad

et al. 2022

Landslides

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Natural soils often exhibit an anisotropic fabric pattern as a result of soil deposition, weathering, or filling. This paper aims to investigate the effect of soil interdependent anisotropy and fabric orientation on runout motions of landslides and evaluate the most critical fabric orientation for the post-failure behavior. The shear strength properties of soil deposit (i.e., cohesion $$c$$ c and friction angle $$\varphi$$ φ ) are modeled as negatively cross correlated bivariate random fields. The results reveal that the spatial variability and the negative cross-correlation of $$c$$ c and $$\varphi$$ φ notably influence the post-failure behavior. In addition, the rotation of soil layer orientation significantly affects the runout motion. Based on the analyses, the deposition orientation of $${30}^{^\circ }$$ 30 ∘ is identified to produce the highest mean value and standard deviation of the runout distance. The findings from this study highlight the importance of considering the orientation of soil stratification, rather than only the magnitude of shear strength, in assessing the post-failure behavior of a landslide.

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“…difference in altitude, slope angle, and landslide volume, etc.) [36], while flow parameters or mechanical parameters of motion are not involved. Hence, it is a practical predictive means and many researchers have adopted this approach [37,38].…”

Section: Introductionmentioning

confidence: 99%

Study of the Multi-Critical Parameters Characterizing the Instability Behavior of Translational Rockslides Considering the Excavation

Liu,

Yang,

Wang

et al. 2024

Preprint

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Translational rockslides caused by toe excavation are one of the commonly seen geohazards in mountainous regions due to line traffic construction. Quantifying their failure extension length (FEL) and travel distance are of significant interest as well as huge challenges in landslide hazard assessment. In this paper, a simple criterion is proposed for predicting these two factors based on the principles of rigid body limit equilibrium and kinetic energy theorem. Further, the proposed criterion is validated against the field observations and numerical results with a practical case of the Xinjianan landslide, a medium-sized translational rockslide that occurred in 2013 in Nanchuan District, Chongqing. The findings indicate that a tiny discrepancy can be found in FEL between the field observations and the proposed criteria, while this discrepancy could be considerable in travel distance between different methods. However, the relative discrepancies all fall within 20%, deemed acceptable.

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Stochastic assessment of slope failure run-out triggered by earthquake ground motion

Cited by 16 publications

References 45 publications

Stochastic Assessment of Landslide Influence Zone by Material Point Method and Generalized Geotechnical Random Field Theory

Stochastic Assessment of Landslide Influence Zone by Material Point Method and Generalized Geotechnical Random Field Theory

Uncertainty quantification of landslide runout motion considering soil interdependent anisotropy and fabric orientation

Study of the Multi-Critical Parameters Characterizing the Instability Behavior of Translational Rockslides Considering the Excavation

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