Limit equilibrium analysis of seismic stability of slopes reinforced with a row of piles

Li, Xinpo; Su, Lijun; He, Siming; Jun, Xu

doi:10.1002/nag.2484

Cited by 26 publications

(3 citation statements)

References 24 publications

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“…Ausilio et al (2001) used the LAM to analyze the influence of the pile location on the slope. Li et al (2010Li et al ( , 2016) combined the Newmark method and limit analysis method to derive the critical acceleration of a slope. Wang et al (2020b) applied the limit analysis method to a three-dimensional slope.…”

Section: Introductionmentioning

confidence: 99%

Analytical solution of seismic analysis of piled-reinforced slopes

Tao

Jia

Bian

et al. 2021

Bull Eng Geol Environ

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Stabilizing piles is a typical passive reinforcement measure that is widely used in slope and foundation excavation. In slope stability analysis, the force of a stabilizing pile is often taken as the fixed value. Obviously, this approach simplifies the impact of stabilized piles on the slope. Based on the passive effect of stabilizing piles, this study elaborates on the sliding mechanism of slopes under seismic conditions. To establish the relationship between the slope displacement and the force of the pile, a new method of equivalent displacement is proposed. The Newmark method and limit analysis are used to derive the formulas of slope displacement and safety factor. Through typical cases, different stabilizing pile models and the cumulative effect of multiple seismic loads are analyzed. In addition, the influence of various parameters on slope stability is discussed. The results show that (1) the stabilizing pile has an obvious passivity. The antisliding force is gradually released with the sliding and squeezing of the slope, showing the trend of increasing first and then stabilizing. (2) Under the condition of multiple seismic loads, the slope has a cumulative effect. If the passive effect of the pile is considered, the calculation result is more conservative. (3) The location of the pile and the length of the anchoring section have a more significant influence on the slope stability. Risk analysis based on displacement can be used in the design of reinforcement schemes.

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Section: Introductionmentioning

confidence: 99%

Analytical solution of seismic analysis of piled-reinforced slopes

Tao

Jia

Bian

et al. 2021

Bull Eng Geol Environ

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“…Several techniques, including prominent traditional techniques to recent optimisation techniques, used to assess slope stability are summarised in this paper. The most prevalently used method for performing slope stability calculations is traditional limit equilibrium method [6][7][8][9][10][11]. Classical techniques for assessing slope stability are unsuitable for several cases such as slopes with non-circular slip surfaces having multiple local minima solution and require a close by preliminary solution to obtain a valid result.…”

Section: Introductionmentioning

confidence: 99%

Slope stability analysis using recent metaheuristic techniques: a comprehensive survey

2019

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In the framework of designing civil engineering structures such as dams and road embankments, slope stability assessment is essential. Many slope stability assessment methods based on swarm intelligence algorithms and artificial intelligence techniques have been developed in the past decade. Therefore, this paper aims to provide an up-to-date overview of slope stability by summarizing the review of applications of several metaheuristics in this field with their advantages and limitations. In this study, we present recent swarm intelligence methods and machine learning techniques used for assessing the stability of slopes and compare them with the antlion optimiser (ALO) technique. The factor of safety related to every slip surface searched was computed using Morgenstern-Price method. The performance of the proposed ALO is evaluated and validated for four slope examples against recent metaheuristics. Finally, the work carried out will help practitioners as they can now have all swarm intelligence approaches combined in one paper and will help in choosing them the right technique based on their application.

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“…Many methods have been developed for slope stability analysis, among which the limit equilibrium methods and numerical modelling are two of the most widely used methods . However, the application of above methods has been limited by several restrictions.…”

Section: Introductionmentioning

confidence: 99%

A hybrid ensemble method for improved prediction of slope stability

Tang

2018

Num Anal Meth Geomechanics

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Accurate prediction of slope stability is a significant issue in geomechanics with many artificial intelligence (AI) techniques being utilised. However, the application of AI has not reached its full potential because of the lack of more robust algorithms. In this paper, we proposed a hybrid ensemble method for the improved prediction of slope stability using classifier ensembles and genetic algorithm. Gaussian process classification, quadratic discriminant analysis, support vector machine, artificial neural networks, adaptive boosted decision trees, and k-nearest neighbours were chosen to be individual AI techniques, and the weighted majority voting was used as the combination method. Validation method was chosen to be the 10-fold cross-validation, and performance measures were selected to be the accuracy, the receiver operating characteristic curve, and the area under the receiver operating characteristic curve (AUC). Grid search and genetic algorithm were used for the hyperparameter tuning and weight tuning respectively. The results show that the proposed hybrid ensemble method has great potential in improving the prediction of slope stability. Compared with individual classifiers, the optimum ensemble classifier achieved the highest AUC value (0.943) and the highest accuracy (0.902) on the testing set, denoting that the predictive performance has been improved. The optimum ensemble classifier with the Youden's cutoff was recommended for slope stability prediction with respect to the AUC value, the accuracy, the true positive rate, and the true negative rate. This research indicates that the use of the classifier ensembles, rather than the search for the ideal individual classifiers, might help for the slope stability prediction.

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Limit equilibrium analysis of seismic stability of slopes reinforced with a row of piles

Cited by 26 publications

References 24 publications

Analytical solution of seismic analysis of piled-reinforced slopes

Analytical solution of seismic analysis of piled-reinforced slopes

Slope stability analysis using recent metaheuristic techniques: a comprehensive survey

A hybrid ensemble method for improved prediction of slope stability

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