Progressive Failure Mechanism of Sensitive Clay Slopes: Insights From Stabilized Smoothed Particle Finite Element Analysis of the 2010 Saint‐Jude Landslide
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引用次数: 0
Abstract
Modeling landslides in sensitive clay has long been a challenging issue. In sensitive clays, the shear strength significantly decreases during plastic deformation, leading to the progressive failure of the slopes. Sensitive clays exhibit complex mechanical behavior, and even a small slope failure can often trigger massive landslides. This necessitates a numerical approach capable of handling large deformations, as well as a suitable constitutive model to accurately capture the intricate behavior of these clays. In this study, a novel viscosity‐based hourglass‐control algorithm is proposed to stabilize the node integration in smoothed particle finite element method (SPFEM), and two verification examples are given to demonstrate the efficacy of the proposed method. Then, the proposed stabilized SPFEM is employed to reconstruct the 2010 Saint‐Jude landslide in Quebec, Canada. The method successfully reproduces the progressive failure processes of the Saint‐Jude landslide and quantitatively compares the final run‐out distances and retrogression distances with the field survey data, showing a good agreement.
期刊介绍:
The journal welcomes manuscripts that substantially contribute to the understanding of the complex mechanical behaviour of geomaterials (soils, rocks, concrete, ice, snow, and powders), through innovative experimental techniques, and/or through the development of novel numerical or hybrid experimental/numerical modelling concepts in geomechanics. Topics of interest include instabilities and localization, interface and surface phenomena, fracture and failure, multi-physics and other time-dependent phenomena, micromechanics and multi-scale methods, and inverse analysis and stochastic methods. Papers related to energy and environmental issues are particularly welcome. The illustration of the proposed methods and techniques to engineering problems is encouraged. However, manuscripts dealing with applications of existing methods, or proposing incremental improvements to existing methods – in particular marginal extensions of existing analytical solutions or numerical methods – will not be considered for review.