PERFORMANCE BASED DESIGN SYSTEM FOR CONCRETE MIXTURE WITH MULTI-OPTIMIZING GENETIC ALGORITHM

This paper presents a method for optimizing concrete mixture proportions according to the required performance and also presents several case studies. Since various qualities are usually required of concrete, we characterize the proportioning problems as multi-criteria optimization problems. We dealt with the notion of Pareto optimality to derive the optimum solution and applied it to a genetic algorithm. In this contribution, two proportioning problems are solved by the genetic algorithm: a request of cost-performance at 60 MPa in strength as a simple problem, and a concrete mix for mass concrete in cold weather at the coast.