Simulation of debris flow on an instrumented test slope using an updated Lagrangian continuum particle method

Neto, Alomir H. Fávero; Askarinejad, Amin; Springman, Sarah M.; Borja, Ronaldo I.

doi:10.1007/s11440-020-00957-1

Cited by 44 publications

(18 citation statements)

References 66 publications

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“…It is worth noting that the failure mechanism of a real slope is much more complicated, and the circular failure surface is not a common scenario for steep hillslopes where the thickness of the sediment is much smaller than the height of the slope, just as reported in Refs. 67–70. The use of the 2D LEM is not a severe limitation, and the proposed GPR‐based RSM can also be easily combined with other complex models, such as the stochastic finite element model.…”

Section: Discussionmentioning

confidence: 99%

Efficient reliability analysis of slopes integrating the random field method and a Gaussian process regression‐based surrogate model

Zhu

Hiraishi

Pei

et al. 2020

Num Anal Meth Geomechanics

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Efficient evaluation of slope stability is a frontier in geo‐disaster prevention fields. While many slope stability evaluation methods, ranging from deterministic to probabilistic, have been proposed, reliability methods are particularly advantageous as they can account for uncertainties during slope stability evaluation. To address the problem of the low efficiency of direct Monte Carlo simulations and overcome the defects of the traditional response surface method, in this work, a novel probabilistic procedure that integrates a Gaussian process regression‐based surrogate model and the random limit equilibrium method for slope stability evaluation while accounting for the spatial variability of soil strength is proposed. The novel Gaussian process regression‐based surrogate model is efficiently used in the Monte Carlo simulation to reduce the number of calls for direct stability analysis of a slope with spatially varied soil strength. To verify the accuracy and efficiency of the proposed procedure, it was applied to three case studies: the first one is a slope in saturated clay under undrained conditions; the second one is a slope for which the friction angle and cohesion values are cross‐correlated; and the third one is a real slope with multiple soil layers. The results obtained from the comparisons with other methods confirmed the precision and feasibility of the proposed procedure.

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Section: Discussionmentioning

confidence: 99%

Efficient reliability analysis of slopes integrating the random field method and a Gaussian process regression‐based surrogate model

Zhu

Hiraishi

Pei

et al. 2020

Num Anal Meth Geomechanics

View full text Add to dashboard Cite

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“…When considering a large deformation problem such as sand column collapse, an invariant stress tensor with respect to rigid-body rotation must be applied. Accordingly, the Green-Naghdi rate which gives an objective measure of the stress rate was adopted in this study (Green and Naghdi, 1964;Fávero Neto and Borja, 2018;Fávero Neto et al, 2020;Liang and Zhao, 2019;Jin et al, 2020;Systèmes, 2014): where Ω =Ṙ • R T , R is the rigid body rotation in the polar decomposition of the deformation gradient F . The differences between Green-Naghdi rate and Jaumann rate are significant only if finite rotation of a material point is accompanied by finite shear.…”

Section: Extension Of 3d-h Model At a Low Water Contentmentioning

confidence: 99%

“…It has been recognized that debris flows and granular flows may behave similarly: for instance, they can sustain shear stresses with very slow deformation due to lasting, frictional grain contacts, and they can flow rapidly, sustaining inelastic grain collisions (Iverson, 1997;Fávero Neto et al, 2020). Thus, research has mainly focused on small scale laboratory experiments and numerical simulations of granular materials (Tan et al, 2019(Tan et al, , 2020Chen et al, 2019Chen et al, , 2020Lajeunesse et al, 2005;Crosta et al, 2009;Lube et al, 2005Lube et al, , 2004Rondon et al, 2011;Fern and Soga, 2017;Zhao et al, 2019;Brezzi et al, 2020;Kermani and Qiu, 2020).…”

Section: Introductionmentioning

confidence: 99%

A novel multi-scale large deformation approach for modelling of granular collapse

et al. 2021

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Collapse of granular material is usually accompanied by long run-out granular flows in natural hazards, e.g., rock/debris flow and snow avalanches. This paper presents a novel multi-scale approach for modelling granular column collapse with large deformation. This approach employs the smoothed particle hydrodynamics (SPH) method to solve large deformation boundary value problems while using a micromechanical model to derive the non-linear material response required by the SPH method. After examining the effect of initial cell size, the proposed approach is subsequently applied to simulate the flow of granular column in a rectangular channel at a low water content by varying the initial aspect ratio. The numerical results show good agreement with various experimental observations on both collapse process and final deposit morphology. Furthermore, the mesoscale behavior is also captured owing to the advantages of the micromechanical model. Finally, it was demonstrated that the novel multi-scale approach is helpful in improving the understanding of granular collapse and should be an effective computational tool for the analysis of real-scale granular flow.

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“…For more diffuse responses, other methods are more appropriate, such as finite element method with Lagrangian Integration Points (FEMLIP) 25,26 . A host of meshfree methods, such as element‐free Galerkin, 27,28 smoothed‐particle hydrodynamics, 29–32 and the reproducing kernel particle method 33–35 have been developed explicitly for large‐deformation analysis and applied to problems in soil mechanics. In this paper, we use standard finite elements and leave the integration with numerical methods for very large deformations for future investigation.…”

Section: Introductionmentioning

confidence: 99%

A hardening/softening viscoplastic model for large deformation of soil

Parvaneh

Foster

Chi

2022

Num Anal Meth Geomechanics

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A three-invariant continuum cap plasticity model with viscoplastic features is developed for modeling the large deformation of soil. Multiple failure mechanisms including combined shear and compaction yielding and loss of strength under tension can be captured by this model. The shear yield surface of the model is formulated to be nonlinear and pressure-dependent. The model also features a cap surface that governs inelastic compaction hardening. This cap is formulated as an explicit expression of porosity. The differences in triaxial compression and extension strength are also considered. A set of numerical examples are carried out, including triaxial compression and compression-shear tests, in order to examine the model under confined loading conditions, and observe the formation of shear bands.

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Simulation of debris flow on an instrumented test slope using an updated Lagrangian continuum particle method

Abstract: Important noteTo cite this publication, please use the final published version (if applicable). Please check the document version above.

Cited by 44 publications

References 66 publications

Efficient reliability analysis of slopes integrating the random field method and a Gaussian process regression‐based surrogate model

Efficient reliability analysis of slopes integrating the random field method and a Gaussian process regression‐based surrogate model

A novel multi-scale large deformation approach for modelling of granular collapse

A hardening/softening viscoplastic model for large deformation of soil

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