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Optimum cost design of frames using genetic algorithms

Chen, Chulin and Yousif, Salim Taib and Najem, Rabi' Muyad and Abavisani, Ali and Pham, Binh Thai and Wakil, Karzan and Mohamad, Edy Tonnizam and Khorami, Majid (2019) Optimum cost design of frames using genetic algorithms. Steel and Composite Structures, 30 (3). pp. 293-304. ISSN 1229-9367

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Official URL: http://dx.doi.org/10.12989/scs.2019.30.3.293


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.

Item Type:Article
Uncontrolled Keywords:genetic algorithm, optimum design, reinforced concrete, space frame
Subjects:T Technology > TA Engineering (General). Civil engineering (General)
Divisions:Civil Engineering
ID Code:87833
Deposited By: Yanti Mohd Shah
Deposited On:30 Nov 2020 21:21
Last Modified:30 Nov 2020 21:21

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