Analysis of slopes using elitist differential evolution algorithm

Date

2018-09-19

Author

Yalçın, Yağızer
Altun, Murat
Pekcan, Onur

Metadata

Show full item record

Item Usage Stats

105
views

0
downloads

Stability analyses of slopes have been a challenge for engineers, requiring development of complex numerical models to assess the risk levels and potential hazards. The numerical models involve combination of analysis methods and integrated optimization approaches, which generally induce intense engineering calculations with upscale time complexity. To obtain good and quick solutions, a robust optimization algorithm is necessary, leading to an efficient and reliable stability analysis framework. Within this context, various optimization techniques involving deterministic and metaheuristic approaches were proposed in the past decades. The proposed methods often suffer from convergence issues have time deficiencies, which highlights a necessity of development of an effective optimization algorithm. In this study, a modified version of Differential Evolution (DE) algorithm named Elitist Differential Evolution (EDE) is proposed to solve slope stability analysis problems. To develop a complete analysis framework, EDE is integrated with a non-circular failure surface generation method and limit equilibrium based stability analysis techniques. Its performance is compared with other optimization algorithms such as conventional DE, Particle Swarm Optimization and Grey Wolf Optimizer using benchmark problems reported in the literature. The experiments demonstrate that EDE greatly improves the results of other alternatives, validating the applicability of the algorithm to slope stability analysis. Furthermore, statistical performance of EDE has become prominent in the experiments, which further emphasizes its robustness.

Subject Keywords

Slope stability analysis, Limit Equilibrium Method, Non-circular failure, Optimization metaheuristics, Differential evolution, Elitist Differential Evolution, Particle Swarm Optimization, Grey Wolf Optimizer

URI

https://hdl.handle.net/11511/86698

DOI

https://doi.org/10.1007/978-3-319-97773-7_71

Conference Name

6th International Conference on Engineering Optimization (EngOpt 2018), 17-09-2018 - 19-09-2018

Collections

Department of Civil Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Helicopter lobed nozzle optimization with differential evolution method Bayat, Akay; Perçin, Mustafa; Department of Aerospace Engineering (2021-2-11) The main purpose of this study is to develop a methodology for the optimization of an ejector system geometry that is used for the helicopter engine bay cooling. The performance of an ejector system is directly related to the entrainment ratio, which is the ratio of the secondary flow rate to the primary flow rate, and the turbine exit backpressure. In the literature, it is observed that the nozzle geometry used in the ejector system has a significant effect on the performance and that the most efficient ge...
Probabilistic Slope Stability Analyses: Effects of the Coefficient of Variation and the Cross-Correlation of Shear Strength Parameters Oğuz, Emir Ahmet; Yalçın, Yağızer ; Huvaj Sarıhan, Nejan (2017-03-15) The assessment of the safety level of natural slopes, road cuts, embankments and levees require consideration of uncertainties and variability in material properties. In this study, for a number of slope geometries, including a real-life landslide case, probability of failure (PF) and the most critical failure surface are investigated with and without cross-correlation of shear strength properties. Slopes having different traditionally-defined factor of safety (FS) levels are studied. The uncertainty of soi...
An automated approach for the design of Mechanically Stabilized Earth Walls incorporating metaheuristic optimization algorithms YALÇIN, YAĞIZER; Orhon, Murat; Pekcan, Onur (2019-01-01) Considered as cost-efficient, reliable and aesthetic alternatives to the conventional retaining structures, Mechanically Stabilized Earth Walls (MSEWs) have been increasingly used in civil engineering practice over the previous decades. The design of these structures is conventionally based on engineering guidelines, requiring the use of trial and error approaches to determine the design variables. Therefore, the quality and cost effectiveness of the design is limited with the effort, intuition, and experie...
Application of recent optimization algorithms on slope stability problems Azizi, Sadra; Pekcan, Onur; Department of Civil Engineering (2018) Stability analysis of earth slopes in general involves determining the minimum factor of safety (FS) associated with the most critical failure surface. This objective is too challenging to accomplish considering the broad diversity of slope problems in geometry, geotechnical parameters of the soil, location of the groundwater table, and condition of the external loadings. Robust optimization techniques, however, have recently performed well in determining safety factors of various man-made and natural slope...
Reserve estimation using geostatistics Kök, Mustafa Verşan (Informa UK Limited, 2008-01-01) Application of geostatistics are being increasingly considered by reservoir analysts and engineers in generating more accurate reservoir models together with usable measures of spatial uncertainty. Geostatistics provides a probabilistic framework and a toolbox for data analysis with early integration of information. In this research, hydrocarbon volume of afield is estimated considering different parameters as gross rock volume, net to gross rock thickness, porosity, permeability, and saturation. Therefore,...

Citation Formats

Y. Yalçın, M. Altun, and O. Pekcan, “Analysis of slopes using elitist differential evolution algorithm,” presented at the 6th International Conference on Engineering Optimization (EngOpt 2018), 17-09-2018 - 19-09-2018, Lisbona, Portugalia, 2018, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/86698.