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Strutted sheet pile wall represents an economic commonly used solution for vertical or near vertical deep excavation, when open cuts with side slopes are not applicable. It is mainly used to minimize/ control ground deformations to ensure safety of adjacent structures. Thus, the strutted sheet pile wall design process should present elements with sufficient strength/ stiffness to resist the lateral earth pressure without losing the economic advantage. Although the choice of strut and wall configuration is very precise and sensitive process to optimize the design, it still depends on empirical formulas and designers’ experience. Application of optimization to this process can bring out some scientific based design rules. In this research, a heuristic optimization technique, Genetic Algorithms, is applied to the strutted sheet pile wall design. The optimization process aims to minimize the construction cost expressed with elements dimensions considering both deformation and stress constraints for the ground soil and construction material. The Genetic Algorithms technique is combined with Finite Element Analysis to find the optimal values for the design variables (strut cross section and position and sheet pile wall thickness and embedded depth) for different soft soil types. Results can be used to draw a map for the design process.

APPLICATION OF GENETIC ALGORITHMS TO STRUTTED SHEET PILE WALL DESIGN OPTIMIZATION