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Using genetic algorithms method for the paramount design of reinforced concrete structures

  • Xu, Chuanhua (State Key Laboratory of Safety and Health for Metal Mines, Sinosteel Maanshan Institute of Mining Research, Co., Ltd.) ;
  • Zhang, Xiliang (State Key Laboratory of Safety and Health for Metal Mines, Sinosteel Maanshan Institute of Mining Research, Co., Ltd.) ;
  • Haido, James H. (Department of civil engineering, college of engineering, University of Duhok) ;
  • Mehrabi, Peyman (Department of Civil Engineering, K.N. Toosi University of Technology) ;
  • Shariati, Ali (Department of Civil Engineering, Faculty of engineering, University of Malaya) ;
  • Mohamad, Edy Tonnizam (Centre of Tropical Geoengineering (GEOTROPIK), Faculty of Civil Engineering, Universiti Teknologi Malaysia) ;
  • Hoang, Nguyen (Institute of Research and Development, Duy Tan University) ;
  • Wakil, Karzan (Research Center, Sulaimani Polytechnic University)
  • Received : 2019.03.01
  • Accepted : 2019.04.01
  • Published : 2019.09.10

Abstract

Genetic Algorithms (GAs) have found the best design for reinforced concrete frames. The design of the optimum beam sections by GAs has been unified. The process of the optimum-design sections has satisfied axial, flexural, shear and torsion necessities based on the designing code. The frames' function has contained the function of both concrete and reinforced steel besides the function of the frames' formwork. The results have revealed that limiting the dimension of frame-beam with the dimension of frame-column have increased the optimum function of the structure, thereby reducing the reanalysis requirement for checking the optimum-designed structures through GAs.

Keywords

References

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