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Optimization of concrete I-beams using a new hybrid glowworm swarm algorithm

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Optimization of concrete I-beams using a new hybrid glowworm swarm algorithm

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dc.contributor.author García Segura, Tatiana es_ES
dc.contributor.author Yepes Piqueras, Víctor es_ES
dc.contributor.author Martí Albiñana, José Vicente es_ES
dc.contributor.author Alcalá González, Julián es_ES
dc.date.accessioned 2015-09-29T11:17:43Z
dc.date.available 2015-09-29T11:17:43Z
dc.date.issued 2014
dc.identifier.issn 1679-7825
dc.identifier.uri http://hdl.handle.net/10251/55260
dc.description.abstract 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 es_ES
dc.language Inglés es_ES
dc.publisher Argentinean Association of Computational Mechanics, Brazilian Association of Computational Mechanics, Mexican Association of Numerical Methods in Engineering and Applied Sciences es_ES
dc.relation.ispartof Latin American Journal of Solids and Structures es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Hybrid glowworm swarm algorithm es_ES
dc.subject Discrete variables es_ES
dc.subject Concrete I-beam es_ES
dc.subject Self-compacting concrete es_ES
dc.subject CO2 emission es_ES
dc.subject.classification INGENIERIA DE LA CONSTRUCCION es_ES
dc.subject.classification EXPRESION GRAFICA EN LA INGENIERIA es_ES
dc.title Optimization of concrete I-beams using a new hybrid glowworm swarm algorithm es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1590/S1679-78252014000700007
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto de Ciencia y Tecnología del Hormigón - Institut de Ciència i Tecnologia del Formigó es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería de la Construcción y de Proyectos de Ingeniería Civil - Departament d'Enginyeria de la Construcció i de Projectes d'Enginyeria Civil es_ES
dc.description.bibliographicCitation García Segura, T.; Yepes Piqueras, V.; Martí Albiñana, JV.; Alcalá González, J. (2014). Optimization of concrete I-beams using a new hybrid glowworm swarm algorithm. Latin American Journal of Solids and Structures. 11(7):1190-1205. doi:10.1590/S1679-78252014000700007 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://www.lajss.org/index.php/LAJSS es_ES
dc.description.upvformatpinicio 1190 es_ES
dc.description.upvformatpfin 1205 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 11 es_ES
dc.description.issue 7 es_ES
dc.relation.senia 267637 es_ES
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