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Optimum cost design of frames using genetic algorithms

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 Insti...

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Main Authors:	Chen, Chulin, Yousif, Salim Taib, Najem, Rabi' Muyad, Abavisani, Ali, Pham, Binh Thai, Wakil, Karzan, Mohamad, Edy Tonnizam, Khorami, Majid
Format:	Article
Published:	Techno Press 2019
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://eprints.utm.my/id/eprint/87833/ http://dx.doi.org/10.12989/scs.2019.30.3.293
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id	my.utm.87833
record_format	eprints
spelling	my.utm.878332020-11-30T13:21:26Z http://eprints.utm.my/id/eprint/87833/ Optimum cost design of frames using genetic algorithms Chen, Chulin Yousif, Salim Taib Najem, Rabi' Muyad Abavisani, Ali Pham, Binh Thai Wakil, Karzan Mohamad, Edy Tonnizam Khorami, Majid TA Engineering (General). Civil engineering (General) 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. Techno Press 2019-02 Article PeerReviewed 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 http://dx.doi.org/10.12989/scs.2019.30.3.293 DOI:10.12989/scs.2019.30.3.293
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) Chen, Chulin Yousif, Salim Taib Najem, Rabi' Muyad Abavisani, Ali Pham, Binh Thai Wakil, Karzan Mohamad, Edy Tonnizam Khorami, Majid Optimum cost design of frames using genetic algorithms
description	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.
format	Article
author	Chen, Chulin Yousif, Salim Taib Najem, Rabi' Muyad Abavisani, Ali Pham, Binh Thai Wakil, Karzan Mohamad, Edy Tonnizam Khorami, Majid
author_facet	Chen, Chulin Yousif, Salim Taib Najem, Rabi' Muyad Abavisani, Ali Pham, Binh Thai Wakil, Karzan Mohamad, Edy Tonnizam Khorami, Majid
author_sort	Chen, Chulin
title	Optimum cost design of frames using genetic algorithms
title_short	Optimum cost design of frames using genetic algorithms
title_full	Optimum cost design of frames using genetic algorithms
title_fullStr	Optimum cost design of frames using genetic algorithms
title_full_unstemmed	Optimum cost design of frames using genetic algorithms
title_sort	optimum cost design of frames using genetic algorithms
publisher	Techno Press
publishDate	2019
url	http://eprints.utm.my/id/eprint/87833/ http://dx.doi.org/10.12989/scs.2019.30.3.293
_version_	1685578996543127552
score	13.211869

Optimum cost design of frames using genetic algorithms

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