Optimization of concrete I-beams using a new hybrid glowworm swarm algorithm
Autor(a) principal: | |
---|---|
Data de Publicação: | 2014 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Latin American journal of solids and structures (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-78252014000700007 |
Resumo: | In this paper a new hybrid glowworm swarm algorithm (SAGSO) for solving structural optimization problems is presented. The structure proposed to be optimized here is a simply-supported concrete I-beam defined by 20 variables. Eight different concrete mixtures are studied, varying the compressive strength grade and compacting system. The solutions are evaluated following the Spanish Code for structural concrete. The algorithm is applied to two objective functions, namely the embedded CO2 emissions and the economic cost of the structure. The ability of glowworm swarm optimization (GSO) to search in the entire solution space is combined with the local search by Simulated Annealing (SA) to obtain better results than using the GSO and SA independently. Finally, the hybrid algorithm can solve structural optimization problems applied to discrete variables. The study showed that large sections with a highly exposed surface area and the use of conventional vibrated concrete (CVC) with the lower strength grade minimize the CO2 emissions. |
id |
ABCM-1_0d680ca8625c6f42b93b0de2a5830b51 |
---|---|
oai_identifier_str |
oai:scielo:S1679-78252014000700007 |
network_acronym_str |
ABCM-1 |
network_name_str |
Latin American journal of solids and structures (Online) |
repository_id_str |
|
spelling |
Optimization of concrete I-beams using a new hybrid glowworm swarm algorithmHybrid glowworm swarm algorithmdiscrete variablesconcrete I-beamCO2 emissionsself-compacting concreteIn this paper a new hybrid glowworm swarm algorithm (SAGSO) for solving structural optimization problems is presented. The structure proposed to be optimized here is a simply-supported concrete I-beam defined by 20 variables. Eight different concrete mixtures are studied, varying the compressive strength grade and compacting system. The solutions are evaluated following the Spanish Code for structural concrete. The algorithm is applied to two objective functions, namely the embedded CO2 emissions and the economic cost of the structure. The ability of glowworm swarm optimization (GSO) to search in the entire solution space is combined with the local search by Simulated Annealing (SA) to obtain better results than using the GSO and SA independently. Finally, the hybrid algorithm can solve structural optimization problems applied to discrete variables. The study showed that large sections with a highly exposed surface area and the use of conventional vibrated concrete (CVC) with the lower strength grade minimize the CO2 emissions.Associação Brasileira de Ciências Mecânicas2014-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-78252014000700007Latin American Journal of Solids and Structures v.11 n.7 2014reponame:Latin American journal of solids and structures (Online)instname:Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM)instacron:ABCM10.1590/S1679-78252014000700007info:eu-repo/semantics/openAccessGarcía-Segura,TatianaYepes,VíctorMartí,José V.Alcalá,Juliáneng2014-03-13T00:00:00Zoai:scielo:S1679-78252014000700007Revistahttp://www.scielo.br/scielo.php?script=sci_serial&pid=1679-7825&lng=pt&nrm=isohttps://old.scielo.br/oai/scielo-oai.phpabcm@abcm.org.br||maralves@usp.br1679-78251679-7817opendoar:2014-03-13T00:00Latin American journal of solids and structures (Online) - Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM)false |
dc.title.none.fl_str_mv |
Optimization of concrete I-beams using a new hybrid glowworm swarm algorithm |
title |
Optimization of concrete I-beams using a new hybrid glowworm swarm algorithm |
spellingShingle |
Optimization of concrete I-beams using a new hybrid glowworm swarm algorithm García-Segura,Tatiana Hybrid glowworm swarm algorithm discrete variables concrete I-beam CO2 emissions self-compacting concrete |
title_short |
Optimization of concrete I-beams using a new hybrid glowworm swarm algorithm |
title_full |
Optimization of concrete I-beams using a new hybrid glowworm swarm algorithm |
title_fullStr |
Optimization of concrete I-beams using a new hybrid glowworm swarm algorithm |
title_full_unstemmed |
Optimization of concrete I-beams using a new hybrid glowworm swarm algorithm |
title_sort |
Optimization of concrete I-beams using a new hybrid glowworm swarm algorithm |
author |
García-Segura,Tatiana |
author_facet |
García-Segura,Tatiana Yepes,Víctor Martí,José V. Alcalá,Julián |
author_role |
author |
author2 |
Yepes,Víctor Martí,José V. Alcalá,Julián |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
García-Segura,Tatiana Yepes,Víctor Martí,José V. Alcalá,Julián |
dc.subject.por.fl_str_mv |
Hybrid glowworm swarm algorithm discrete variables concrete I-beam CO2 emissions self-compacting concrete |
topic |
Hybrid glowworm swarm algorithm discrete variables concrete I-beam CO2 emissions self-compacting concrete |
description |
In this paper a new hybrid glowworm swarm algorithm (SAGSO) for solving structural optimization problems is presented. The structure proposed to be optimized here is a simply-supported concrete I-beam defined by 20 variables. Eight different concrete mixtures are studied, varying the compressive strength grade and compacting system. The solutions are evaluated following the Spanish Code for structural concrete. The algorithm is applied to two objective functions, namely the embedded CO2 emissions and the economic cost of the structure. The ability of glowworm swarm optimization (GSO) to search in the entire solution space is combined with the local search by Simulated Annealing (SA) to obtain better results than using the GSO and SA independently. Finally, the hybrid algorithm can solve structural optimization problems applied to discrete variables. The study showed that large sections with a highly exposed surface area and the use of conventional vibrated concrete (CVC) with the lower strength grade minimize the CO2 emissions. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-12-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-78252014000700007 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-78252014000700007 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S1679-78252014000700007 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Associação Brasileira de Ciências Mecânicas |
publisher.none.fl_str_mv |
Associação Brasileira de Ciências Mecânicas |
dc.source.none.fl_str_mv |
Latin American Journal of Solids and Structures v.11 n.7 2014 reponame:Latin American journal of solids and structures (Online) instname:Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM) instacron:ABCM |
instname_str |
Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM) |
instacron_str |
ABCM |
institution |
ABCM |
reponame_str |
Latin American journal of solids and structures (Online) |
collection |
Latin American journal of solids and structures (Online) |
repository.name.fl_str_mv |
Latin American journal of solids and structures (Online) - Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM) |
repository.mail.fl_str_mv |
abcm@abcm.org.br||maralves@usp.br |
_version_ |
1754302887622606848 |