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논문 기본 정보

자료유형
학술저널
저자정보
Chulin Chen (Central South University) Salim Taib Yousif (Isra University) Rabi’ Muyad Najem (Mosul University) Ali Abavisani (Universidad Politecnica de Madrid) Binh Thai Pham (Duy Tan University) Karzan Wakil (Sulaimani Polytechnic University) Edy Tonnizam Mohamad (Universiti Teknologi Malaysia) Majid Khorami (Universidad UTE)
저널정보
국제구조공학회 Steel and Composite Structures, An International Journal Steel and Composite Structures, An International Journal Vol.30 No.3
발행연도
2019.1
수록면
293 - 304 (12page)

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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.

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