Cost Optimization and Estimation of Embodied Carbon in Reinforced Concrete Frame Structure

Abstract

Reinforced concrete (RC) structures are one of the most common building systems around the world. Measures are being taken to reduce the construction industry’s contribution to the greenhouse gas emissions. The contribution of embodied energy of structures is also considered for more efficient operation of buildings. This study investigates the embodied carbon content for the different grades of concrete used for the design and an optimization approach for an economic design. Analysis and design of RC frame structures are done using STAAD-PRO software and cost optimization is carried out using Genetic Algorithm (GA) in MATLAB software. The considered design constraints are geometric, strength and reinforcement areas confirming to Indian Standard codes. The optimized result is used to model the RC structure in Revit Software to determine its embodied carbon content. Candidate structures are then assessed for embodied energy to determine individual relationships. This study shows the possibility to reduce the embodied carbon content of RC frame structure and the proposed optimum design model can be adopted to design commercial buildings as it yields reliable, economical, time-saving and practical designs whilst remaining compliant to given design codes.