Earthquake Design of Reinforced Concrete Buildings Using NSGA-II
In the present study, the optimal seismic design of reinforced concrete (RC) buildings is obtained. For this purpose, genetic algorithms (GAs) are used through the technique NSGA-II (Nondominated Sorting Genetic Algorithm), thus a multiobjective procedure with two objective functions is established....
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Series: | Advances in Civil Engineering |
Online Access: | http://dx.doi.org/10.1155/2018/5906279 |
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doaj-1d58148bef15468eb58225478539c1492020-11-24T22:17:59ZengHindawi LimitedAdvances in Civil Engineering1687-80861687-80942018-01-01201810.1155/2018/59062795906279Earthquake Design of Reinforced Concrete Buildings Using NSGA-IIHerian A. Leyva0Edén Bojórquez1Juan Bojórquez2Alfredo Reyes-Salazar3José H. Castorena4Eduardo Fernández5Manuel A. Barraza6Facultad de Ingeniería, Universidad Autónoma de Sinaloa, Culiacán, MexicoFacultad de Ingeniería, Universidad Autónoma de Sinaloa, Culiacán, MexicoFacultad de Ingeniería, Universidad Autónoma de Sinaloa, Culiacán, MexicoFacultad de Ingeniería, Universidad Autónoma de Sinaloa, Culiacán, MexicoFacultad de Ingeniería, Universidad Autónoma de Sinaloa, Mochis, MexicoFacultad de Ingeniería, Universidad Autónoma de Sinaloa, Culiacán, MexicoFacultad de Ingeniería, Universidad Autónoma de Sinaloa, Culiacán, MexicoIn the present study, the optimal seismic design of reinforced concrete (RC) buildings is obtained. For this purpose, genetic algorithms (GAs) are used through the technique NSGA-II (Nondominated Sorting Genetic Algorithm), thus a multiobjective procedure with two objective functions is established. The first objective function is the control of maximum interstory drift which is the most common parameter used in seismic design codes, while the second is to minimize the cost of the structure. For this aim, several RC buildings are designed in accordance with the Mexico City Building Code (MCBC). It is assumed that the structures are constituted by rectangular and square concrete sections for the beams, columns, and slabs which are represented by a binary codification. In conclusion, this study provides complete designed RC buildings which also can be used directly in the structural and civil engineering practice by means of genetic algorithms. Moreover, genetic algorithms are able to find the most adequate structures in terms of seismic performance and economy.http://dx.doi.org/10.1155/2018/5906279 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Herian A. Leyva Edén Bojórquez Juan Bojórquez Alfredo Reyes-Salazar José H. Castorena Eduardo Fernández Manuel A. Barraza |
spellingShingle |
Herian A. Leyva Edén Bojórquez Juan Bojórquez Alfredo Reyes-Salazar José H. Castorena Eduardo Fernández Manuel A. Barraza Earthquake Design of Reinforced Concrete Buildings Using NSGA-II Advances in Civil Engineering |
author_facet |
Herian A. Leyva Edén Bojórquez Juan Bojórquez Alfredo Reyes-Salazar José H. Castorena Eduardo Fernández Manuel A. Barraza |
author_sort |
Herian A. Leyva |
title |
Earthquake Design of Reinforced Concrete Buildings Using NSGA-II |
title_short |
Earthquake Design of Reinforced Concrete Buildings Using NSGA-II |
title_full |
Earthquake Design of Reinforced Concrete Buildings Using NSGA-II |
title_fullStr |
Earthquake Design of Reinforced Concrete Buildings Using NSGA-II |
title_full_unstemmed |
Earthquake Design of Reinforced Concrete Buildings Using NSGA-II |
title_sort |
earthquake design of reinforced concrete buildings using nsga-ii |
publisher |
Hindawi Limited |
series |
Advances in Civil Engineering |
issn |
1687-8086 1687-8094 |
publishDate |
2018-01-01 |
description |
In the present study, the optimal seismic design of reinforced concrete (RC) buildings is obtained. For this purpose, genetic algorithms (GAs) are used through the technique NSGA-II (Nondominated Sorting Genetic Algorithm), thus a multiobjective procedure with two objective functions is established. The first objective function is the control of maximum interstory drift which is the most common parameter used in seismic design codes, while the second is to minimize the cost of the structure. For this aim, several RC buildings are designed in accordance with the Mexico City Building Code (MCBC). It is assumed that the structures are constituted by rectangular and square concrete sections for the beams, columns, and slabs which are represented by a binary codification. In conclusion, this study provides complete designed RC buildings which also can be used directly in the structural and civil engineering practice by means of genetic algorithms. Moreover, genetic algorithms are able to find the most adequate structures in terms of seismic performance and economy. |
url |
http://dx.doi.org/10.1155/2018/5906279 |
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