Optimum Cost Prediction of Reinforced Concrete Cantilever Retaining Walls

Reinforced concrete cantilever retaining walls (RCCRWs) are widely used in civil engineering projects as a common type of structure. The design these structures focuses on ensuring safety against various failure scenarios and compliance with standard building code requirements. This research aims to enhance the process RCCRWs by developing specific optimizing it through metaheuristic-based algorithm. In this study, cost prediction is also investigated parametric study involving key variables such wall height, seismic zone, backfill material properties, inclination angle. To achieve this, non-linear regression analysis employed establish an empirical correlation, enabling estimation for optimized RCCRWs. resulting equation simple use, requiring only limited inputs. Therefore, can be applied during initial stages project, making valuable contribution determining approximate costs RCCRW projects.