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dc.contributor.author | Negrín-Díaz, Iván Antonio![]() |
es_ES |
dc.contributor.author | Kripka, Moacir![]() |
es_ES |
dc.contributor.author | Yepes, V.![]() |
es_ES |
dc.date.accessioned | 2024-06-13T18:16:59Z | |
dc.date.available | 2024-06-13T18:16:59Z | |
dc.date.issued | 2023-10-15 | es_ES |
dc.identifier.issn | 0141-0296 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/205122 | |
dc.description.abstract | [EN] It is well known that conventional heuristic optimization is the most common approach to deal with structural optimization problems. However, metamodel-assisted optimization has become a valuable strategy for decreasing computational consumption. This paper applies conventional heuristic and Kriging-based meta-heuristic optimization to minimize the CO2 emissions of spatial reinforced concrete frame structures, considering an aspect usually ignored during modeling, such as the soil-structure interaction (SSI). Due to the particularities of the formulated problem, there are better strategies than simple Kriging-based optimization to solve it. Thus, a meta-heuristic strategy is proposed using a Kriging-based two-phase methodology and a local search algorithm. Three different models of structures are used in the study. Results show that including the SSI leads to different design results than those obtained using classical supports. The foundations, usually ignored in this type of research, also prove significant within the structural assembly. Additionally, using an appropriate coefficient of penalization, the meta-heuristic approach can find (on average) results up to 98.24% accuracy for cohesive soils and 98.10% for frictional ones compared with the results of the heuristic optimization, achieving computational savings of about 90%. Therefore, considering aspects such as the SSI, the proposed metamodeling strategy allows for dealing with high-complexity structural optimization problems. | es_ES |
dc.description.sponsorship | This work was supported by the grant PID2020-117056RB-I00, which was funded by MCIN/AEI/10.13039/501100011033 and by "ERDF A way of making Europe". Grant PRE2021-097197 funded by MCIN/AEI/10.13039/501100011033 and by FSE+. | es_ES |
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 | Structural optimization | es_ES |
dc.subject | Reinforced concrete | es_ES |
dc.subject | Frame structures | es_ES |
dc.subject | CO2 emissions | es_ES |
dc.subject | Metamodel | es_ES |
dc.subject | Kriging | es_ES |
dc.subject | Soil-structure interaction | es_ES |
dc.subject.classification | INGENIERIA DE LA CONSTRUCCION | es_ES |
dc.title | Metamodel-assisted meta-heuristic design optimization of reinforced concrete frame structures considering soil-structure interaction | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.engstruct.2023.116657 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-117056RB-I00/ES/OPTIMIZACION HIBRIDA DEL CICLO DE VIDA DE PUENTES Y ESTRUCTURAS MIXTAS Y MODULARES DE ALTA EFICIENCIA SOCIAL Y MEDIOAMBIENTAL BAJO PRESUPUESTOS RESTRICTIVOS/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI//PRE2021-097197//OPTIMIZACION HIBRIDA DEL CICLO DE VIDA DE PUENTES Y ESTRUCTURAS MIXTAS Y MODULARES DE ALTA EFICIENCIA SOCIAL Y MEDIOAMBIENTAL BAJO PRESUPUESTOS RESTRICTIVOS / | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Caminos, Canales y Puertos - Escola Tècnica Superior d'Enginyers de Camins, Canals i Ports | es_ES |
dc.description.bibliographicCitation | Negrín-Díaz, IA.; Kripka, M.; Yepes, V. (2023). Metamodel-assisted meta-heuristic design optimization of reinforced concrete frame structures considering soil-structure interaction. Engineering Structures. 293:1-17. https://doi.org/10.1016/j.engstruct.2023.116657 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1016/j.engstruct.2023.116657 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 17 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 293 | es_ES |
dc.relation.pasarela | S\498818 | es_ES |
dc.contributor.funder | AGENCIA ESTATAL DE INVESTIGACION | es_ES |
dc.contributor.funder | European Regional Development Fund | es_ES |
dc.contributor.funder | Universitat Politècnica de València | es_ES |
dc.subject.ods | 09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación | es_ES |