Steel and Composite Structures

  • 제30권3호
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  • Pages.293-304
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  • 2019
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  • 1229-9367(pISSN)
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  • 1598-6233(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Optimum cost design of frames using genetic algorithms

  • Chen, Chulin (School of Architechure and Art, Central South University) ;
  • Yousif, Salim Taib (Department of civil engineering, Isra University) ;
  • Najem, Rabi' Muyad (Department of civil engineering, Mosul University) ;
  • Abavisani, Ali (DLSIIS, Universidad Politecnica de Madrid) ;
  • Pham, Binh Thai (Institute of Research and Development, Duy Tan University) ;
  • Wakil, Karzan (Research Center, Sulaimani Polytechnic University) ;
  • Mohamad, Edy Tonnizam (Centre of Tropical Geoengineering (GEOTROPIK), Faculty of Civil Engineering, Universiti Teknologi Malaysia) ;
  • Khorami, Majid (Universidad UTE, Facultad de Arquitectura y Urbanismo, Calle Rumipamba s/n y Bourgeois)
  • 투고 : 2018.09.30
  • 심사 : 2019.02.12
  • 발행 : 2019.02.10
⟨ 이전 논문 다음 논문 ⟩

초록

The optimum cost of a reinforced concrete plane and space frames have been found by using the Genetic Algorithm (GA) method. The design procedure is subjected to many constraints controlling the designed sections (beams and columns) based on the standard specifications of the American Concrete Institute ACI Code 2011. The design variables have contained the dimensions of designed sections, reinforced steel and topology through the section. It is obtained from a predetermined database containing all the single reinforced design sections for beam and columns subjected to axial load, uniaxial or biaxial moments. The designed optimum beam sections by using GAs have been unified through MATLAB to satisfy axial, flexural, shear and torsion requirements based on the designed code. The frames' functional cost has contained the cost of concrete and reinforcement of steel in addition to the cost of the frames' formwork. The results have found that limiting the dimensions of the frame's beams with the frame's columns have increased the optimum cost of the structure by 2%, declining the re-analysis of the optimum designed structures through GA.

키워드

참고문헌

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