Optimization of steel structures with one genetic algorithm according to three international building codes

Abstract Among all the optimization techniques, the genetic algorithms (GAs) stand out because of their mathematical simplicity, the no necessity of information about the objective function or the constraint functions, and the possibility of working with any type of structure. Although these feature...

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Autores principales:	Prendes-Gero,María-Belén, Bello-García,Antonio, del Coz-Díaz,Juan-José, Suárez-Domínguez,Francisco-José, García-Nieto,Paulino-José
Lenguaje:	English
Publicado:	Escuela de Construcción Civil, Pontificia Universidad Católica de Chile 2018
Materias:	Genetic algorithm steel structures minimum weight ultimate limit states building code
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-915X2018000100047
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spelling	oai:scielo:S0718-915X20180001000472018-08-22Optimization of steel structures with one genetic algorithm according to three international building codesPrendes-Gero,María-BelénBello-García,Antoniodel Coz-Díaz,Juan-JoséSuárez-Domínguez,Francisco-JoséGarcía-Nieto,Paulino-José Genetic algorithm steel structures minimum weight ultimate limit states building code Abstract Among all the optimization techniques, the genetic algorithms (GAs) stand out because of their mathematical simplicity, the no necessity of information about the objective function or the constraint functions, and the possibility of working with any type of structure. Although these features suggest an enormous flexibility for working with different building codes, in general, each one is developed for a particular structure and a particular building code. In a world without borders, where one structure can be calculated in one country, manufactured in other and built in a third one, develop one GA for each building code difficult the construction process and increase its cost. In this paper, one GA capable of working with three different building codes (Spanish, European and American) is researched. After analysing the different constraints and stabilities for them, the objective function is defined. Then, and due the influence that the working parameters have in the optimization result, the effect of each parameter over the behaviour of the GA is analysed and a working range for them is established. Finally, the results of the optimization are compared, showing the heaviest structures with the American code and the lightest structures with the European code.info:eu-repo/semantics/openAccessEscuela de Construcción Civil, Pontificia Universidad Católica de ChileRevista de la construcción v.17 n.1 20182018-04-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-915X2018000100047en10.7764/rdlc.17.1.47
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Genetic algorithm steel structures minimum weight ultimate limit states building code
spellingShingle	Genetic algorithm steel structures minimum weight ultimate limit states building code Prendes-Gero,María-Belén Bello-García,Antonio del Coz-Díaz,Juan-José Suárez-Domínguez,Francisco-José García-Nieto,Paulino-José Optimization of steel structures with one genetic algorithm according to three international building codes
description	Abstract Among all the optimization techniques, the genetic algorithms (GAs) stand out because of their mathematical simplicity, the no necessity of information about the objective function or the constraint functions, and the possibility of working with any type of structure. Although these features suggest an enormous flexibility for working with different building codes, in general, each one is developed for a particular structure and a particular building code. In a world without borders, where one structure can be calculated in one country, manufactured in other and built in a third one, develop one GA for each building code difficult the construction process and increase its cost. In this paper, one GA capable of working with three different building codes (Spanish, European and American) is researched. After analysing the different constraints and stabilities for them, the objective function is defined. Then, and due the influence that the working parameters have in the optimization result, the effect of each parameter over the behaviour of the GA is analysed and a working range for them is established. Finally, the results of the optimization are compared, showing the heaviest structures with the American code and the lightest structures with the European code.
author	Prendes-Gero,María-Belén Bello-García,Antonio del Coz-Díaz,Juan-José Suárez-Domínguez,Francisco-José García-Nieto,Paulino-José
author_facet	Prendes-Gero,María-Belén Bello-García,Antonio del Coz-Díaz,Juan-José Suárez-Domínguez,Francisco-José García-Nieto,Paulino-José
author_sort	Prendes-Gero,María-Belén
title	Optimization of steel structures with one genetic algorithm according to three international building codes
title_short	Optimization of steel structures with one genetic algorithm according to three international building codes
title_full	Optimization of steel structures with one genetic algorithm according to three international building codes
title_fullStr	Optimization of steel structures with one genetic algorithm according to three international building codes
title_full_unstemmed	Optimization of steel structures with one genetic algorithm according to three international building codes
title_sort	optimization of steel structures with one genetic algorithm according to three international building codes
publisher	Escuela de Construcción Civil, Pontificia Universidad Católica de Chile
publishDate	2018
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-915X2018000100047
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Optimization of steel structures with one genetic algorithm according to three international building codes

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