DOI QR코드

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Optimal proportioning of concrete aggregates using a self-adaptive genetic algorithm

  • Amirjanov, Adil (Department of Computer Engineering, Near East University) ;
  • Sobol, Konstantin (Facultad de Ingenieria Civil, Universidad Autonoma de Nuevo Leon)
  • 투고 : 2005.03.17
  • 심사 : 2005.09.22
  • 발행 : 2005.10.25

초록

A linear programming problem of the optimal proportioning of concrete aggregates is discussed; and a self-adaptive genetic algorithm is developed to solve this problem. The proposed method is based on changing a range of variables for capturing the feasible region of the optimum solution. A computational verification of this method is compared with the results of the linear programming.

키워드

참고문헌

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피인용 문헌

  1. Shear strength and microstructure of polydisperse packings: The effect of size span and shape of particle size distribution vol.96, pp.2, 2017, https://doi.org/10.1103/PhysRevE.96.022902
  2. Application of genetic algorithm for modeling of dense packing of concrete aggregates vol.24, pp.8, 2010, https://doi.org/10.1016/j.conbuildmat.2010.01.010
  3. Optimization of a Computer Simulation Model for Packing of Concrete Aggregates vol.26, pp.4, 2005, https://doi.org/10.1080/02726350802084580
  4. A systematic approach for the development of porous concrete based on axiomatic design theory vol.6, pp.6, 2005, https://doi.org/10.12989/cac.2009.6.6.491
  5. Effects of particle shape mixture on strength and structure of sheared granular materials vol.100, pp.1, 2019, https://doi.org/10.1103/physreve.100.012904