<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper examines the importance of geotechnical optimization techniques for soil engineering applications, with a particular emphasis on evaluating geotechnical structures. Due to its prevalence in civil engineering, the complex interplay of geotechnical, structural, and financial considerations necessitates a trial and error approach. The study focuses on design elements, geometric dimensions, and volume considerations in order to highlight the economic viability of reinforced concrete retaining walls. Three code files are created using MATLAB to analyze their impact on active and passive thrusts and, as a result, the structure’s volume. The slope angle, backfill overload, and friction angle are varied. The results demonstrate the effectiveness of using evolutionary algorithms to precisely optimize a single goal and demonstrate that this approach can enhance the design of retaining walls in reinforced concrete. This method demonstrates the ability to improve design procedures in this crucial area, which makes it an invaluable resource for structural engineering researchers and civil engineers.</p>
</abstract>

This paper examines the importance of geotechnical optimization techniques for soil engineering applications, with a particular emphasis on evaluating geotechnical structures. Due to its prevalence in civil engineering, the complex interplay of geotechnical, structural, and financial considerations necessitates a trial and error approach. The study focuses on design elements, geometric dimensions, and volume considerations in order to highlight the economic viability of reinforced concrete retaining walls. Three code files are created using MATLAB to analyze their impact on active and passive thrusts and, as a result, the structure’s volume. The slope angle, backfill overload, and friction angle are varied. The results demonstrate the effectiveness of using evolutionary algorithms to precisely optimize a single goal and demonstrate that this approach can enhance the design of retaining walls in reinforced concrete. This method demonstrates the ability to improve design procedures in this crucial area, which makes it an invaluable resource for structural engineering researchers and civil engineers.

Mono-objective Optimization of Retaining Wall Using Genetic Algorithm

LMGE Laboratory, Department of Civil Engineering, Faculty of Technology

Selected Scientific Papers - Journal of Civil Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Mono-objective Optimization of Retaining Wall Using Genetic Algorithm"}

This paper examines the importance of geotechnical optimization techniques for soil engineering applications, with a particular emphasis on evaluating...

Mono-objective Optimization of Retaining Wall Using Genetic Algorithm

Data publikacji: 29 gru 2023

Zakres stron: -

DOI: https://doi.org/10.2478/sspjce-2023-0012

Słowa kluczowe
geotechnical engineering, genetic algorithm, retaining wall, optimal design, mono-objective optimization

© 2023 Ghania Boukhatem et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mono-objective Optimization of Retaining Wall Using Genetic Algorithm

Data publikacji: 29 gru 2023

Zakres stron: -

DOI: https://doi.org/10.2478/sspjce-2023-0012

Słowa kluczowegeotechnical engineering, genetic algorithm, retaining wall, optimal design, mono-objective optimization

© 2023 Ghania Boukhatem et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Słowa kluczowe
geotechnical engineering, genetic algorithm, retaining wall, optimal design, mono-objective optimization