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 |