Computers and Concrete

  • 제11권3호
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  • Pages.183-199
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  • 2013
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  • 1598-8198(pISSN)
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  • 1598-818X(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Genetic algorithm in mix proportion design of recycled aggregate concrete

  • Park, W.J. (Sustainable Building Research Centre, Hanyang University) ;
  • Noguchi, T. (Faculty of Engineering (Architecture), the University of Tokyo) ;
  • Lee, H.S. (School of Architecture, Hanyang University)
  • 투고 : 2012.09.01
  • 심사 : 2013.01.03
  • 발행 : 2013.03.25
⟨ 이전 논문 다음 논문 ⟩

초록

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 multi-criteria 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.

키워드

과제정보

연구 과제 주관 기관 : Ministry of Land, Transport and Maritime Affairs

참고문헌

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피인용 문헌

  1. Durability characteristics of recycled aggregate concrete vol.47, pp.5, 2013, https://doi.org/10.12989/sem.2013.47.5.701
  2. Experimental investigation on the use of recycled aggregates in producing concrete vol.47, pp.4, 2013, https://doi.org/10.12989/sem.2013.47.4.545
  3. Recycling of geopolymer concrete vol.101, 2015, https://doi.org/10.1016/j.conbuildmat.2015.10.037
  4. Shear strength of RC beams. Precision, accuracy, safety and simplicity using genetic programming vol.14, pp.4, 2014, https://doi.org/10.12989/cac.2014.14.4.479
  5. Optimal Mixture Design of Low-CO2 High-Volume Slag Concrete Considering Climate Change and CO2 Uptake vol.13, pp.1, 2019, https://doi.org/10.1186/s40069-019-0359-7
  6. Performance assessment of nano-Silica incorporated recycled aggregate concrete vol.8, pp.4, 2013, https://doi.org/10.12989/acc.2019.8.4.321
  7. Recycled geopolymer aggregates as coarse aggregates for Portland cement concrete and geopolymer concrete: Effects on mechanical properties vol.236, pp.None, 2020, https://doi.org/10.1016/j.conbuildmat.2019.117571
  8. Durability Evaluation of Concrete with Multiadmixtures under Salt Freeze-Thaw Cycles Based on Surface Resistivity vol.2021, pp.None, 2013, https://doi.org/10.1155/2021/5567873
  9. Investigation on Durability Behaviour and Optimization of Concrete with Triple-Admixtures Subjected to Freeze-Thaw Cycles in Salt Solution vol.2021, pp.None, 2013, https://doi.org/10.1155/2021/5572011
  10. The effect of the new stopping criterion on the genetic algorithm performance vol.27, pp.1, 2021, https://doi.org/10.12989/cac.2021.27.1.063