Design Optimization of Reinforced Concrete Beams

摘要

This work presents a typical optimization technique i.e. Particle Swarm Optimization (PSO) to achieve optimal design of Reinforced Concrete (RC) beams. Optimal cross-sectional sizing of an RC beam results in cost saving, but it (optimal sizing) cannot be standardized for the various factors that influence a given design. An algorithm has been developed to search for a minimum cost solution that satisfies Indian codal requirements for RC beams. The objective function consists of the cost of concrete and rebars as prevalent at the place of construction. Successful implementation of the algorithm clearly establishes PSO's ability of performance in the case of RC beams. A number of examples have been presented to show the effectiveness of this formulation for achieving optimal design.