Surface altering optimisation in slope stability analysis with non-circular failure for random limit equilibrium method

Mafi, Ramin; Javankhoshdel, Sina; Cami, Brigid; Chenari, Reza Jamshidi; Gandomi, Amir H.

doi:10.1080/17499518.2020.1771739

Cited by 22 publications

(9 citation statements)

References 48 publications

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“…Random limit equilibrium method combined with SAO was used to analyse noncircular failure in slopes. The method proposed by Mafi et al [51] is interesting as it enables searching for the failure surface randomly in combination with an optimization process. Combination of SAO and random limit equilibrium offers fast convergence while reducing the risk of local minimum entrapment.…”

Section: Optimization Methods For Slope Stability Analysismentioning

confidence: 99%

Recent Tendencies in the Use of Optimization Techniques in Geotechnics: A Review

Boumezerane

2022

Geotechnics

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The use of optimization methods in geotechnics dates back to the 1950s. They were used in slope stability analysis (Bishop) and evolved to a wide range of applications in ground engineering. We present here a non-exhaustive review of recent publications that relate to the use of different optimization techniques in geotechnical engineering. Metaheuristic methods are present in almost all the problems in geotechnics that deal with optimization. In a number of cases, they are used as single techniques, in others in combination with other approaches, and in a number of situations as hybrids. Different results are discussed showing the advantages and issues of the techniques used. Computational time is one of the issues, as well as the assumptions those methods are based on. The article can be read as an update regarding the recent tendencies in the use of optimization techniques in geotechnics.

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Section: Optimization Methods For Slope Stability Analysismentioning

confidence: 99%

Recent Tendencies in the Use of Optimization Techniques in Geotechnics: A Review

Boumezerane

2022

Geotechnics

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“…Several researchers in literature have investigated the impact of the spatial variability of soil strength and stiffness parameters on the stability of geo-structures (Javankhoshdel et al 2022). The importance of spatial variability of soil properties has been investigated through several studies of slope stability analysis (Javankhoshdel and Bathurst 2014;Luo et al 2016;Bathurst 2016, 2017;Jamshidi Chenari and Izadi 2019;Jamshidi Chenari et al 2020;Shah Malekpour et al 2020;Javankhoshdel et al 2020;Mafi et al 2020).…”

Section: Pf =mentioning

confidence: 99%

A New Stochastic Response Surface Method in Spatial Variability Slope Stability Analysis

Javankhoshdel¹,

Zeger²,

Cami³

et al. 2023

Proceedings of the TMIC 2022 Slope Stability Conference (TMIC 2022)

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Spatial variability is becoming more and more common in limit equilibrium slope stability analysis. With the recent advances in the abilities for limit equilibrium slope stability analysis to handle complicated models, it is more important than ever to have a fast and accurate method to perform slope stability analysis in spatially varying soils. The use of response surfaces is widely adopted in the literature to deliver efficient stochastic analyses. However, their implementation is usually deeply correlated with the choice of a field generation algorithm. This makes the response surface method inflexible since it sometimes requires the field generation algorithm to be completely rewritten. Finely discretized spatially varying random fields can have many random variables which make the response surface difficult to determine. To solve this, the authors have proposed a modified response surface guided approach to slope reliability analysis in spatially varying soils which is independent of the choice of field generation algorithm. This approach was evaluated using a two-dimensional problem, and validated by comparing its accuracy and speed against the traditional Monte Carlo simulation.

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“…Random field (RF) modeling is widely used in analyzing uncertainties of geotechnical properties (Mousavi Nezhad et al 2013) and widely integrated with limit equilibrium method (LEM) (e.g. Mafi et al 2020) and finite element method (FEM) (e.g., Griffiths and Fenton 2004;Jiang et al 2014;Masoudian et al 2019).…”

Section: Introductionmentioning

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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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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Surface altering optimisation in slope stability analysis with non-circular failure for random limit equilibrium method

Cited by 22 publications

References 48 publications

Recent Tendencies in the Use of Optimization Techniques in Geotechnics: A Review

Recent Tendencies in the Use of Optimization Techniques in Geotechnics: A Review

A New Stochastic Response Surface Method in Spatial Variability Slope Stability Analysis

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

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