Discrete Optimum Design of Steel Frames by Genetic Algorithm

This paper presents genetic based algorithm for the optimum design of multistorey steel frames with sidesway subjected to multiple loading cases. The design method obtains a frame with the least weight by selecting appropriate sections for beams and columns from the British standard for universal be...

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Main Author: E.S. Kameshki
Format: Article
Language:English
Published: Elsevier 2003-01-01
Series:Journal of King Saud University: Engineering Sciences
Online Access:http://www.sciencedirect.com/science/article/pii/S1018363918307724
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spelling doaj-36488f1538634a39af31aa8aeb33a1a62020-11-25T00:09:23ZengElsevierJournal of King Saud University: Engineering Sciences1018-36392003-01-01152217233Discrete Optimum Design of Steel Frames by Genetic AlgorithmE.S. Kameshki0Department of Civil and Architectural Engineering, University of Bahrain, PO Box 32038, Isa Town, BahrainThis paper presents genetic based algorithm for the optimum design of multistorey steel frames with sidesway subjected to multiple loading cases. The design method obtains a frame with the least weight by selecting appropriate sections for beams and columns from the British standard for universal beam and column sections. The member grouping is allowed so that the same section can be adopted for each group. The serviceability design constraints include the drift limit of overall height of the frame / 300 and interstorey drift limit of storey height / 300 as specified by BS 5950. The combined strength constraints are considered for beam-columns which are subjected to axial force and bending moments which take into consideration the lateral torsional buckling of frame members. The effective lengths for columns are obtained from the solution of nonlinear equation, which is used to produce Jackson and Moreland nomographs. The use of BS 5950 also necessitates to find out the classification of each universal beam or column section selected for frame members. The design algorithm carries out this process automatically following the steps given in BS 5950 before it computes the design capacities of each frame member. The design examples considered have shown that genetic algorithm provides an efficient tool for the practicing designers in designing tall steel frames. Keywords: Genetic algorithm, Steel frame, BS 5950. Optimum design, Minimum weighthttp://www.sciencedirect.com/science/article/pii/S1018363918307724
collection DOAJ
language English
format Article
sources DOAJ
author E.S. Kameshki
spellingShingle E.S. Kameshki
Discrete Optimum Design of Steel Frames by Genetic Algorithm
Journal of King Saud University: Engineering Sciences
author_facet E.S. Kameshki
author_sort E.S. Kameshki
title Discrete Optimum Design of Steel Frames by Genetic Algorithm
title_short Discrete Optimum Design of Steel Frames by Genetic Algorithm
title_full Discrete Optimum Design of Steel Frames by Genetic Algorithm
title_fullStr Discrete Optimum Design of Steel Frames by Genetic Algorithm
title_full_unstemmed Discrete Optimum Design of Steel Frames by Genetic Algorithm
title_sort discrete optimum design of steel frames by genetic algorithm
publisher Elsevier
series Journal of King Saud University: Engineering Sciences
issn 1018-3639
publishDate 2003-01-01
description This paper presents genetic based algorithm for the optimum design of multistorey steel frames with sidesway subjected to multiple loading cases. The design method obtains a frame with the least weight by selecting appropriate sections for beams and columns from the British standard for universal beam and column sections. The member grouping is allowed so that the same section can be adopted for each group. The serviceability design constraints include the drift limit of overall height of the frame / 300 and interstorey drift limit of storey height / 300 as specified by BS 5950. The combined strength constraints are considered for beam-columns which are subjected to axial force and bending moments which take into consideration the lateral torsional buckling of frame members. The effective lengths for columns are obtained from the solution of nonlinear equation, which is used to produce Jackson and Moreland nomographs. The use of BS 5950 also necessitates to find out the classification of each universal beam or column section selected for frame members. The design algorithm carries out this process automatically following the steps given in BS 5950 before it computes the design capacities of each frame member. The design examples considered have shown that genetic algorithm provides an efficient tool for the practicing designers in designing tall steel frames. Keywords: Genetic algorithm, Steel frame, BS 5950. Optimum design, Minimum weight
url http://www.sciencedirect.com/science/article/pii/S1018363918307724
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