Isogeometric topology optimization of structures using the overweight approach
| UDC.coleccion | Investigación | |
| UDC.departamento | Matemáticas | |
| UDC.grupoInv | Grupo de Métodos Numéricos en Enxeñaría (GMNI) | |
| UDC.journalTitle | Structural and Multidisciplinary Optimization | |
| UDC.startPage | 84 | |
| UDC.volume | 67 | |
| dc.contributor.author | Villalba Rama, Diego | |
| dc.contributor.author | París, José | |
| dc.contributor.author | Couceiro, Iván | |
| dc.contributor.author | Navarrina, Fermín | |
| dc.date.accessioned | 2026-02-05T19:07:33Z | |
| dc.date.available | 2026-02-05T19:07:33Z | |
| dc.date.issued | 2024 | |
| dc.description | Financiado para publicación en acceso aberto: Universidade da Coruña/CISUG | |
| dc.description.abstract | [Abstract] In this paper, a 2D isogeometric formulation of the material distribution for structural topology optimization considering minimum weight and local stress constraints using the overweight approach is proposed. The aim of this isogeometric formulation is to provide solutions with high spatial definition using a lower number of design variables in comparison with the formulations previously developed to define the material layout. Despite of this, an important number of local stress constraints has to be considered in the solution of the problem. For this purpose, an Overweight Constraint is used to consider all of them. The structural analysis is performed by means of the Isogeometric Analysis (IGA) and the distribution of material is modeled by means of quadratic B-splines. Moreover, the optimization is addressed by means of the Sequential Linear Programming algorithm (SLP) that is driven by the information provided by a full first-order sensitivity analysis extension of the IGA formulation. Finally, the proposed formulation is tested by means of some benchmark problems, and the results show that the isogeometric formulation provides solutions with high spatial definition. A comparison with a Finite Element Method (FEM) topology optimization formulation is included. | |
| dc.description.sponsorship | Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. This work has been partially supported by the “Xunta de Galicia (Secretaría Xeral de Universidades)” and the European Union (European Social Fund—ESF) through grant ED481A-2016/387, by the Spanish Government “(Ministerio de Universidades)” through “Margarita Salas grants for the training of new PhD-2022” [RSU.UDC.MS25], by Feder funds of the European Union to the Spanish Government (“Ministerio de Economía y Competitividad”) through grants DPI2015-68341-R and RTI2018-093366-B-I00, by the Spanish Government “(Ministerio de Ciencia e Innovación)” through “Knowledge generation projects” [PID2021-125447OB-I00] and through “Strategic projects oriented to the ecological and digital transition” of the “Plan de recuperación, transformación y resiliencia” [TED2021-129991B-C31] and [TED2021-129805B-100] with FEDER and EU Next-Generation funds, by the “Xunta de Galicia” (“Consellería de Educación, Universidade e Formación Profesional”) through grants GRC2014/039 and GRC2018/41, by the “Xunta de Galicia” “(Consellería de Cultura, Educación, Formación Profesional y Universidades)” through “Grants for the consolidation and structuring of competitive research units of the Galician University System: Competitive reference group” [ED431C 2022/06], and by research fellowships of the University of A Coruña and the “Fundación de la Ingeniería Civil de Galicia”. | |
| dc.description.sponsorship | Xunta de Galicia; ED481A-2016/387 | |
| dc.description.sponsorship | Xunta de Galicia; GRC2014/039 | |
| dc.description.sponsorship | Xunta de Galicia; GRC2018/41 | |
| dc.description.sponsorship | Xunta de Galicia; ED431C 2022/06 | |
| dc.identifier.citation | Villalba, D., París, J., Couceiro, I. et al. Isogeometric topology optimization of structures using the overweight approach. Struct Multidisc Optim 67, 84 (2024). https://doi.org/10.1007/s00158-024-03782-2 | |
| dc.identifier.doi | 10.1007/s00158-024-03782-2 | |
| dc.identifier.uri | https://hdl.handle.net/2183/47268 | |
| dc.language.iso | eng | |
| dc.publisher | Springer | |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2015-68341-R | |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-093366-B-I00/ES/NUEVOS METODOS SIN MALLA PARA LA SIMULACION NUMERICA DE FLUJOS TURBULENTOS Y PROBLEMAS DE MULTIFISICA. APLICACION AL DESARROLLO DE SISTEMAS DE GENERACION DE ENERGIA RENOVABLE/ | |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-125447OB-I00/ES/MODELOS NUMERICOS DE ALTA PRECISION PARA EL DESARROLLO DE UNA NUEVA GENERACION DE PARQUES OFFSHORE DE ENERGIA RENOVABLE | |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/TED2021-129991B-C31/ES/AVANCES PARA LA IMPLANTACION DEL ALMACENAMIENTO SUBTERRANEO DE HIDROGENO PARA UNA ECONOMIA BASADA EN HIDROGENO VERDE: GEOMECANICA, SEGURIDAD E INTEGRIDAD | |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/TED2021-129805B-I00/ES/NUEVOS METODOS PARA EL DISEÑO OPTIMO DE TURBINAS DE CORRIENTES MARINAS | |
| dc.relation.uri | https://doi.org/10.1007/s00158-024-03782-2 | |
| dc.rights | Attribution 4.0 International | en |
| dc.rights.accessRights | open access | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Structural topology optimization | |
| dc.subject | Stress constraints | |
| dc.subject | Overweight approach | |
| dc.subject | Isogeometric analysis | |
| dc.subject | Aggregation techniques | |
| dc.title | Isogeometric topology optimization of structures using the overweight approach | |
| dc.type | journal article | |
| dc.type.hasVersion | VoR | |
| dspace.entity.type | Publication | |
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| relation.isAuthorOfPublication | d4deeb89-b6c6-43d4-87b1-76b22f7285df | |
| relation.isAuthorOfPublication.latestForDiscovery | c34d83ce-cf68-4e8b-b9e4-83f3b3ca7d92 |
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