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Computers and Concrete
  Volume 11, Number 3, March 2013 , pages 183-199

Genetic algorithm in mix proportion design of recycled aggregate concrete
W.J. Park, T. Noguchi and H.S. Lee

    To select a most desired mix proportion that meets required performances according to the quality of recycled aggregate, a large number of experimental works must be carried out. This paper proposed a new design method for the mix proportion of recycled aggregate concrete to reduce the number of trial mixes. Genetic algorithm is adapted for the method, which has been an optimization technique to solve the multicriteria problem through the simulated biological evolutionary process. Fitness functions for the required properties of concrete such as slump, density, strength, elastic modulus, carbonation resistance, price and carbon dioxide emission were developed based on statistical analysis on conventional data or adapted from various early studies. Then these fitness functions were applied in the genetic algorithm. As a result, several optimum mix proportions for recycled aggregate concrete that meets required performances were obtained.
Key Words
    mix proportion design; recycled aggregate; recycled aggregate concrete; genetic algorithm
W.J. Park: Sustainable Building Research Centre, Hanyang University, Ansan, Korea; T. Noguchi: Faculty of Engineering (Architecture), the University of Tokyo, Tokyo, Japan; H.S. Lee: School of Architecture, Hanyang University, Ansan, Korea

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