Growth of slip surfaces in 3D conical slopes

Klein, Boaz; Puzrin, Alexander M.

doi:10.1002/nag.3220

Cited by 3 publications

(12 citation statements)

References 32 publications

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“…The second step consists of a dynamic, explicit, total stress-based coupled Eulerian-Lagrangian (CEL) analysis. This modeling technique can accommodate very large deformations without losing its accuracy due to mesh distortion as in standard Lagrangian FE analysis and has been found adequate to model similar problems, for example, Dey et al (2015Dey et al ( , 2016, Stoecklin, Friedli, and Puzrin (2020), Klein and Puzrin (2021), Zhang et al (2021). Both steps are performed using the ABAQUS computing environment (Dassault Systèmes Simulia Corp., 2014).…”

Section: Finite Element Modeling-coupled Eulerian-lagrangian Methodsmentioning

confidence: 99%

“…The sediments are modeled using a von‐Mises material, where the yield Mises stress ( q y ) is matched to the Tresca failure criterion (suitable for modeling undrained behavior) in plane‐strain conditions, resulting in

{q}_{\mathrm{y}}={\tau }_{\mathrm{y}}\sqrt{3}={\tau }_{\mathrm{p}}\sqrt{3}\cdot \mathrm{max}\left[1-\frac{{S}_{\mathrm{t}}-1}{{S}_{\mathrm{t}}\cdot {\tilde{{\epsilon}}}_{\mathrm{r}}^{\mathrm{p}}}\cdot {\tilde{{\epsilon}}}^{\mathrm{p}};\frac{1}{{S}_{\mathrm{t}}}\right]

{\tilde{{\epsilon}}}^{\mathrm{p}}=\frac{1}{\sqrt{3}}\int {\dot{\gamma }}^{\mathrm{p}}dt

where

{\tilde{{\epsilon}}}^{\mathrm{p}}

is the accumulative plastic strain,

{\dot{\gamma }}^{\mathrm{p}}

is the plastic engineering shear strain rate,

{S}_{\mathrm{t}}={\tau }_{\mathrm{p}}/{\tau }_{\mathrm{r}}

is the soil sensitivity,

{\tilde{{\epsilon}}}_{\mathrm{r}}^{\mathrm{p}}={\delta }_{\mathrm{r}}^{\mathrm{p}}/(b\sqrt{3})

is the accumulative plastic strain required to cause full softening of the material and b is the element thickness (Klein & Puzrin, 2021). Both pea...…”

Section: Methodsmentioning

confidence: 99%

“…This modeling technique can accommodate very large deformations without losing its accuracy due to mesh distortion as in standard Lagrangian FE analysis and has been found adequate to model similar problems, for example, Dey et al. (2015, 2016), Stoecklin, Friedli, and Puzrin (2020), Klein and Puzrin (2021), Zhang et al. (2021).…”

Section: Methodsmentioning

confidence: 99%

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Basin Sediments Geometry and Strength as Controls for Post‐Failure Emplacement Style of Alpine Sub‐Lacustrine Landslides

et al. 2022

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Predicting the evolution of underwater mass movements in their post‐failure stage is vital for risk assessment of offshore structures and ensuring safety of coastal communities threatened by tsunami waves. In the absence of sedimentological and geotechnical data, variability of the post‐failure behavior in a specific marine or lacustrine setting is often attributed to predisposition factors such as the slope height‐drop and depth to the basal shear surface. In this paper, the contribution of other geometrical parameters such as the slope inclination and the relative thickness of the frontal basin sediments is investigated using a coupled Eulerian‐Lagrangian finite element framework. An emphasis is given to the important role of the strength difference between the slope and frontal basin sediments. The suggested framework is first validated against the well‐documented Zinnen slide in Lake Lucerne (Switzerland), successfully reproducing the post‐failure geometry and capturing the main features observed in published seismic profiles. It is then applied in a parametric study to illustrate the decisive role of the frontal basin sediments in determining the post‐failure geometry of underwater mass wasting in similar settings.

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Section: Finite Element Modeling-coupled Eulerian-lagrangian Methodsmentioning

confidence: 99%

{q}_{\mathrm{y}}={\tau }_{\mathrm{y}}\sqrt{3}={\tau }_{\mathrm{p}}\sqrt{3}\cdot \mathrm{max}\left[1-\frac{{S}_{\mathrm{t}}-1}{{S}_{\mathrm{t}}\cdot {\tilde{{\epsilon}}}_{\mathrm{r}}^{\mathrm{p}}}\cdot {\tilde{{\epsilon}}}^{\mathrm{p}};\frac{1}{{S}_{\mathrm{t}}}\right]

{\tilde{{\epsilon}}}^{\mathrm{p}}=\frac{1}{\sqrt{3}}\int {\dot{\gamma }}^{\mathrm{p}}dt

where

{\tilde{{\epsilon}}}^{\mathrm{p}}

is the accumulative plastic strain,

{\dot{\gamma }}^{\mathrm{p}}

is the plastic engineering shear strain rate,

{S}_{\mathrm{t}}={\tau }_{\mathrm{p}}/{\tau }_{\mathrm{r}}

is the soil sensitivity,

{\tilde{{\epsilon}}}_{\mathrm{r}}^{\mathrm{p}}={\delta }_{\mathrm{r}}^{\mathrm{p}}/(b\sqrt{3})

is the accumulative plastic strain required to cause full softening of the material and b is the element thickness (Klein & Puzrin, 2021). Both pea...…”

Section: Methodsmentioning

confidence: 99%

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Basin Sediments Geometry and Strength as Controls for Post‐Failure Emplacement Style of Alpine Sub‐Lacustrine Landslides

et al. 2022

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“…Zhang et al. (2020) and Klein and Puzrin (2021) studied the instability of 3D submarine slopes with translational sliding mechanisms ignoring inertia effects and considering simplified planar and conical slope geometries, respectively. The robustness of the proposed criteria and their applications in more general conditions need to be validated.…”

Section: Introductionmentioning

confidence: 99%

“…A few LEM studies have been able to consider 3D submarine slope stability analysis with rotational sliding mechanisms in the past two decades (Somphong et al, 2022;Sultan et al, 2007). and Klein and Puzrin (2021) studied the instability of 3D submarine slopes with translational sliding mechanisms ignoring inertia effects and considering simplified planar and conical slope geometries, respectively. The robustness of the proposed criteria and their applications in more general conditions need to be validated.…”

mentioning

confidence: 99%

How Small Slip Surfaces Evolve Into Large Submarine Landslides—Insight From 3D Numerical Modeling

Zhang

Puzrin

2022

JGR Earth Surface

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Submarine landslides are a major marine geohazard affecting resilience of offshore infrastructure and coastal urban centers. Attention has previously been paid to quantifying post‐failure dynamics of catastrophic submarine debris flows and their consequences. However, pre‐failure initiation and growth of a small slip surface evolving into a large submarine landslide are still less understood. This study aims to explore the physical failure mechanism of submarine landslides initiated from small slip surfaces and to quantify key features of failure evolution. They are achieved by modeling the entire three‐dimensional (3D) landslide evolution, integrating the initiation and growth of slip surface, failure of slab above the slip surface, post‐failure mass movement and re‐deposition of transported sediments, using a novel numerical method. The characteristics of the slip surface growth within a favored layer and the patterns of the slab failure in the overlying layer have been thoroughly discussed. The transition from the pre‐failure slip surface growth to the diverse post‐failure mass movement are first observed and discussed with the 3D geometry effects, revealing the complex cascading mass movement mechanisms. The criterion for unstable growth of a planar slip surface and critical condition for slab failure are proposed. The findings from the study facilitate scientific understanding of the evolution of historic events and help safeguarding offshore developments against submarine landslide recurrence.

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A GIS framework for prediction of basin‐wide post‐failure geometry of confined subaqueous landslides

Klein,

Leuch,

Puzrin

2023

Num Anal Meth Geomechanics

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Stability analysis of submarine and sub‐lacustrine slopes requires special attention to the strain‐softening nature of clay‐rich sediments. Utilizing the often‐used infinite slope assumption using the peak strength is inadequate for the task at hand as the well‐known limit equilibrium method may provide non‐conservative estimate of marine slopes’ stability. In this paper, a GIS based framework is developed to account for a more suitable shear band propagation slope‐failure criterion for basin‐wide stability calculations. After determining the slab failure prone areas, the framework employs analytical criterion for retrogressive failure above the slab and depth‐integrated finite element method for calculating the size of confined slides at the toe. This allows predicting the landslide's post‐failure configuration and the overall landslide coverage zone. The framework is first benchmarked to prove its competence and then applied to the well documented Zinnen Slide and the southeastern banks of the Küssnacht Basin, Lake Lucerne, Switzerland. The results of the application show good agreement with the observed basin geomorphology.

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Growth of slip surfaces in 3D conical slopes

Cited by 3 publications

References 32 publications

Basin Sediments Geometry and Strength as Controls for Post‐Failure Emplacement Style of Alpine Sub‐Lacustrine Landslides

Basin Sediments Geometry and Strength as Controls for Post‐Failure Emplacement Style of Alpine Sub‐Lacustrine Landslides

How Small Slip Surfaces Evolve Into Large Submarine Landslides—Insight From 3D Numerical Modeling

A GIS framework for prediction of basin‐wide post‐failure geometry of confined subaqueous landslides

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