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Accelerated optimization method for low-embodied energy concrete box-girder bridge design

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Accelerated optimization method for low-embodied energy concrete box-girder bridge design

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dc.contributor.author Penadés-Plà, Vicent es_ES
dc.contributor.author García-Segura, Tatiana es_ES
dc.contributor.author Yepes, V.
dc.date.accessioned 2019-01-16T21:04:30Z
dc.date.available 2019-01-16T21:04:30Z
dc.date.issued 2019 es_ES
dc.identifier.issn 0141-0296 es_ES
dc.identifier.uri http://hdl.handle.net/10251/115617
dc.description.abstract [EN] Structural optimization is normally carried out by means of conventional heuristic optimization due to the complexity of the structural problems. However, the conventional heuristic optimization still consumes a large amount of time. The use of metamodels helps to reduce the computational cost of the optimization and, along these lines, kriging-based heuristic optimization is presented as an alternative to carry out an accelerated optimization of complex problems. In this work, conventional heuristic optimization and kriging-based heuristic optimization will be applied to reach the optimal solution of a continuous box-girder pedestrian bridge of three spans with a low embodied energy. For this purpose, different penalizations and different initial sample sizes will be studied and compared. This work shows that kriging-based heuristic optimization provides results close to those of conventional heuristic optimization using less time. For the sample size of 50, the best solution differs about 2.54% compared to the conventional heuristic optimization, and reduces the computational cost by 99.06%. Therefore, the use of a kriging model in structural design problems offers a new means of solving certain structural problems that require a very high computational cost and reduces the difficulty of other problems. es_ES
dc.description.sponsorship The authors acknowledge the financial support of the Spanish Ministry of Economy and Competitiveness, along with FEDER funding (Project: BIA2017-85098-R).
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Engineering Structures es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Post-tensioned concrete es_ES
dc.subject Structural optimization es_ES
dc.subject Box-girder bridge es_ES
dc.subject Metamodel es_ES
dc.subject Low-embodied energy es_ES
dc.subject Kriging es_ES
dc.subject.classification PROYECTOS DE INGENIERIA es_ES
dc.subject.classification INGENIERIA DE LA CONSTRUCCION es_ES
dc.title Accelerated optimization method for low-embodied energy concrete box-girder bridge design es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.engstruct.2018.11.015 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/BIA2017-85098-R/ES/DISEÑO Y MANTENIMIENTO OPTIMO ROBUSTO Y BASADO EN FIABILIDAD DE PUENTES E INFRAESTRUCTURAS VIARIAS DE ALTA EFICIENCIA SOCIAL Y MEDIOAMBIENTAL BAJO PRESUPUESTOS RESTRICTIVOS/ es_ES
dc.rights.accessRights Abierto 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.contributor.affiliation Universitat Politècnica de València. Instituto de Ciencia y Tecnología del Hormigón - Institut de Ciència i Tecnologia del Formigó es_ES
dc.description.bibliographicCitation Penadés-Plà, V.; García-Segura, T.; Yepes, V. (2019). Accelerated optimization method for low-embodied energy concrete box-girder bridge design. Engineering Structures. 179:556-565. https://doi.org/10.1016/j.engstruct.2018.11.015 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.engstruct.2018.11.015 es_ES
dc.description.upvformatpinicio 556 es_ES
dc.description.upvformatpfin 565 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 179 es_ES
dc.relation.pasarela S\374253 es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES


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