Techno Press
You logged in as Techno Press

Computers and Concrete
  Volume 10, Number 6, December 2012, pages 587-607

Concrete mix design for service life of RC structures exposed to chloride attack
Seung-Jun Kwon and Sang-Chel Kim

    The purpose of this research is to propose a design technique of concrete mix proportions satisfying service life through genetic algorithm (GA) and neural network (NN). For this, thirty mix proportions and the related diffusion coefficients in high performance concrete are analyzed and fitness function for diffusion coefficient is obtained considering mix components like w/b (water to binder ratio), cement content, mineral admixture (slag, flay ash and silica fume) content, sand and coarse aggregate content. Through averaging the results of 10 times GA simulations, relative errors to the previous data decrease lower than 5.0% and the simulated mix proportions are verified with the experimental results. Assuming the durability design parameters, intended diffusion coefficient for intended service life is derived and mix proportions satisfying the service life are obtained. Among the mix proportions, the most optimized case which satisfies required concrete strength and the lowest cost is selected through GA algorithm. The proposed technique would be improved with the enhancement of comprehensive data set including wider the range of diffusion coefficients.
Key Words
    concrete; durability; genetic algorithm; chloride diffusion; neural network.
Seung-Jun Kwon: Department of Civil and Environmental Engineering, Hannam University, Daejeon, South Korea; Sang-Chel Kim: Department of Civil Engineering, Hanseo University, Seosan, South Korea

Techno-Press: Publishers of international journals and conference proceedings.       Copyright © 2021 Techno Press
P.O. Box 33, Yuseong, Daejeon 305-600 Korea, Tel: +82-42-828-7996, Fax : +82-42-828-7997, Email: