Optimization Techniques in Slope Stability Analysis Methods

Pandit, Koushik; Sarkar, Sutanu; Sharma, Mahesh

doi:10.1007/978-3-319-77377-3_11

Cited by 3 publications

(1 citation statement)

References 83 publications

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“…An interesting chapter by Pandit et al [44] dealt with optimization techniques in slope stability analysis methods. The fundamentals of different optimization techniques were given and detailed.…”

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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Particle Swarm Optimization Variants for Solving Geotechnical Problems: Review and Comparative Analysis

Kashani

Chiong

Mirjalili

et al. 2020

Arch Computat Methods Eng

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Assessment of Slope Stability under Bounded Uncertainties Using Differential Evolution and Particle Swarm Optimization

2022

Civil and Environmental Engineering

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In the assessment of slope stability, the uncertainty of soil properties affects directly the factor of safety, which is the objective function to be minimized. Therefore, we propose an approach that treats the uncertainties as additional variables besides three common variables, i.e. the radius of the critical slip surface R and its centre coordinates X, Y. This approach is also compared with two other approaches: i) minimizing the objective function (with variables R, X and Y) at all vertices of the feasible region defined by lower and upper bounds of uncertainties, and then choosing the best solution from them; ii) using the two-level optimization in which the optimal solution (R, X and Y) satisfies the least favourable condition of uncertainties at these vertices. The proposed approach with extra variables shows the efficiency in finding good solutions with a significant decrease of computation time. The study also shows that both Differential Evolution and Particle Swarm Optimization can find good solutions, although the former is marginally better.

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Optimization Techniques in Slope Stability Analysis Methods

Cited by 3 publications

References 83 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

Particle Swarm Optimization Variants for Solving Geotechnical Problems: Review and Comparative Analysis

Assessment of Slope Stability under Bounded Uncertainties Using Differential Evolution and Particle Swarm Optimization

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